| Year | Conf. | Topic | Cited | Paper | Authors | Url |
|---|---|---|---|---|---|---|
| 2019 | ACL | # optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-att, arch-copy, arch-coverage, latent-vae, loss-nce, task-seq2seq, task-tree, task-graph | 0 | Discourse Representation Parsing for Sentences and Documents | Jiangming Liu, Shay B. Cohen, Mirella Lapata | https://www.aclweb.org/anthology/P19-1629.pdf |
| 2019 | ACL | # optim-adam, arch-lstm, arch-att, arch-memo, task-tree | 0 | Interpretable Question Answering on Knowledge Bases and Text | Alona Sydorova, Nina Poerner, Benjamin Roth | https://www.aclweb.org/anthology/P19-1488.pdf |
| 2019 | ACL | # optim-sgd, optim-adam, init-glorot, reg-dropout, train-augment, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-bilinear, arch-transformer, nondif-reinforce, task-relation, task-tree | 0 | AdaNSP: Uncertainty-driven Adaptive Decoding in Neural Semantic Parsing | Xiang Zhang, Shizhu He, Kang Liu, Jun Zhao | https://www.aclweb.org/anthology/P19-1418.pdf |
| 2019 | ACL | # arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-bilinear, pre-elmo, task-seqlab, task-lm, task-tree | 2 | End-to-end Deep Reinforcement Learning Based Coreference Resolution | Hongliang Fei, Xu Li, Dingcheng Li, Ping Li | https://www.aclweb.org/anthology/P19-1064.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, pool-max, arch-lstm, arch-bilstm, arch-treelstm, arch-att, arch-coverage, search-beam, search-viterbi, pre-elmo, struct-crf, task-seqlab, task-seq2seq, task-tree | 0 | Span-Level Model for Relation Extraction | Kalpit Dixit, Yaser Al-Onaizan | https://www.aclweb.org/anthology/P19-1525.pdf |
| 2019 | ACL | # train-mll, task-relation, task-tree | 0 | Uncovering Probabilistic Implications in Typological Knowledge Bases | Johannes Bjerva, Yova Kementchedjhieva, Ryan Cotterell, Isabelle Augenstein | https://www.aclweb.org/anthology/P19-1382.pdf |
| 2019 | ACL | # train-mll, struct-crf, latent-vae, task-seqlab, task-tree | 3 | Quantity Tagger: A Latent-Variable Sequence Labeling Approach to Solving Addition-Subtraction Word Problems | Yanyan Zou, Wei Lu | https://www.aclweb.org/anthology/P19-1517.pdf |
| 2019 | ACL | # optim-adam, optim-projection, reg-dropout, reg-stopping, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-treelstm, arch-att, arch-selfatt, arch-coverage, latent-vae, task-textpair, task-lm, task-condlm, task-relation, task-tree | 1 | Learning Latent Trees with Stochastic Perturbations and Differentiable Dynamic Programming | Caio Corro, Ivan Titov | https://www.aclweb.org/anthology/P19-1551.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, norm-layer, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-selfatt, comb-ensemble, task-seq2seq, task-tree | 0 | Modeling Intra-Relation in Math Word Problems with Different Functional Multi-Head Attentions | Jierui Li, Lei Wang, Jipeng Zhang, Yan Wang, Bing Tian Dai, Dongxiang Zhang | https://www.aclweb.org/anthology/P19-1619.pdf |
| 2019 | ACL | # optim-adam, optim-projection, arch-rnn, arch-lstm, arch-subword, arch-transformer, pre-fasttext, pre-skipthought, pre-bert, struct-cfg, task-textpair, task-lm, task-tree | 5 | Correlating Neural and Symbolic Representations of Language | Grzegorz Chrupała, Afra Alishahi | https://www.aclweb.org/anthology/P19-1283.pdf |
| 2019 | ACL | # optim-adam, arch-lstm, pre-bert, latent-vae, task-textpair, task-spanlab, task-lm, task-tree | 5 | Latent Retrieval for Weakly Supervised Open Domain Question Answering | Kenton Lee, Ming-Wei Chang, Kristina Toutanova | https://www.aclweb.org/anthology/P19-1612.pdf |
| 2019 | ACL | # optim-projection, train-transfer, task-lm, task-tree | 0 | Zero-Shot Semantic Parsing for Instructions | Ofer Givoli, Roi Reichart | https://www.aclweb.org/anthology/P19-1438.pdf |
| 2019 | ACL | # optim-projection, reg-dropout, train-mll, arch-rnn, arch-att, comb-ensemble, struct-hmm, task-seq2seq, task-relation, task-tree | 0 | Learning Morphosyntactic Analyzers from the Bible via Iterative Annotation Projection across 26 Languages | Garrett Nicolai, David Yarowsky | https://www.aclweb.org/anthology/P19-1172.pdf |
| 2019 | ACL | # train-transfer, arch-rnn, arch-lstm, arch-att, search-beam, nondif-reinforce, loss-nce, task-seq2seq, task-tree | 0 | Unified Semantic Parsing with Weak Supervision | Priyanka Agrawal, Ayushi Dalmia, Parag Jain, Abhishek Bansal, Ashish Mittal, Karthik Sankaranarayanan | https://www.aclweb.org/anthology/P19-1473.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, reg-stopping, arch-rnn, arch-lstm, arch-att, arch-residual, arch-memo, comb-ensemble, pre-glove, task-textpair, task-condlm, task-tree | 2 | Simple and Effective Text Matching with Richer Alignment Features | Runqi Yang, Jianhai Zhang, Xing Gao, Feng Ji, Haiqing Chen | https://www.aclweb.org/anthology/P19-1465.pdf |
| 2019 | ACL | # optim-adam, init-glorot, reg-dropout, reg-stopping, reg-patience, norm-gradient, arch-rnn, arch-lstm, arch-gcnn, arch-cnn, arch-att, arch-memo, arch-bilinear, arch-transformer, comb-ensemble, pre-glove, task-tree | 2 | Inter-sentence Relation Extraction with Document-level Graph Convolutional Neural Network | Sunil Kumar Sahu, Fenia Christopoulou, Makoto Miwa, Sophia Ananiadou | https://www.aclweb.org/anthology/P19-1423.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-augment, arch-lstm, arch-att, arch-copy, pre-bert, struct-cfg, task-seq2seq, task-tree | 4 | Towards Complex Text-to-SQL in Cross-Domain Database with Intermediate Representation | Jiaqi Guo, Zecheng Zhan, Yan Gao, Yan Xiao, Jian-Guang Lou, Ting Liu, Dongmei Zhang | https://www.aclweb.org/anthology/P19-1444.pdf |
| 2019 | ACL | # optim-sgd, optim-adam, train-transfer, arch-rnn, arch-lstm, arch-gru, arch-cnn, arch-att, arch-transformer, struct-cfg, adv-train, task-lm, task-seq2seq, task-relation, task-tree | 0 | Language Modeling with Shared Grammar | Yuyu Zhang, Le Song | https://www.aclweb.org/anthology/P19-1437.pdf |
| 2019 | ACL | # train-mtl, pool-max, arch-lstm, arch-cnn, arch-att, arch-memo, arch-bilinear, arch-coverage, pre-fasttext, pre-glove, adv-examp, task-textclass, task-textpair, task-lm, task-tree | 10 | Towards Scalable and Reliable Capsule Networks for Challenging NLP Applications | Wei Zhao, Haiyun Peng, Steffen Eger, Erik Cambria, Min Yang | https://www.aclweb.org/anthology/P19-1150.pdf |
| 2019 | ACL | # arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-memo, search-viterbi, struct-crf, latent-vae, loss-nce, task-relation, task-tree | 1 | Enhancing Unsupervised Generative Dependency Parser with Contextual Information | Wenjuan Han, Yong Jiang, Kewei Tu | https://www.aclweb.org/anthology/P19-1526.pdf |
| 2019 | ACL | # optim-adam, train-transfer, arch-lstm, arch-treelstm, arch-bilinear, arch-coverage, search-viterbi, pre-glove, pre-elmo, task-textpair, task-relation, task-tree | 0 | Automatic Generation of High Quality CCGbanks for Parser Domain Adaptation | Masashi Yoshikawa, Hiroshi Noji, Koji Mineshima, Daisuke Bekki | https://www.aclweb.org/anthology/P19-1013.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, reg-labelsmooth, train-transfer, arch-att, arch-selfatt, arch-copy, arch-bilinear, arch-coverage, arch-transformer, search-greedy, search-beam, pre-glove, task-spanlab, task-seq2seq, task-tree | 1 | Complex Question Decomposition for Semantic Parsing | Haoyu Zhang, Jingjing Cai, Jianjun Xu, Ji Wang | https://www.aclweb.org/anthology/P19-1440.pdf |
| 2019 | ACL | # arch-lstm, arch-coverage, struct-cfg, task-relation, task-tree, task-graph | 0 | Semantic Expressive Capacity with Bounded Memory | Antoine Venant, Alexander Koller | https://www.aclweb.org/anthology/P19-1008.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, reg-worddropout, arch-rnn, arch-lstm, arch-gru, arch-att, arch-copy, search-greedy, task-seq2seq, task-tree | 16 | Transferable Multi-Domain State Generator for Task-Oriented Dialogue Systems | Chien-Sheng Wu, Andrea Madotto, Ehsan Hosseini-Asl, Caiming Xiong, Richard Socher, Pascale Fung | https://www.aclweb.org/anthology/P19-1078.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, reg-decay, norm-layer, train-augment, arch-gnn, arch-att, arch-selfatt, arch-copy, arch-transformer, search-greedy, pre-glove, pre-bert, task-textclass, task-lm, task-seq2seq, task-tree, task-graph | 2 | Generating Logical Forms from Graph Representations of Text and Entities | Peter Shaw, Philip Massey, Angelica Chen, Francesco Piccinno, Yasemin Altun | https://www.aclweb.org/anthology/P19-1010.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, reg-labelsmooth, arch-lstm, arch-att, arch-selfatt, arch-memo, arch-coverage, comb-ensemble, pre-glove, task-tree | 0 | Improving Question Answering over Incomplete KBs with Knowledge-Aware Reader | Wenhan Xiong, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang | https://www.aclweb.org/anthology/P19-1417.pdf |
| 2019 | ACL | # optim-adam, train-augment, arch-coverage, arch-transformer, pre-bert, task-lm, task-tree | 1 | The KnowRef Coreference Corpus: Removing Gender and Number Cues for Difficult Pronominal Anaphora Resolution | Ali Emami, Paul Trichelair, Adam Trischler, Kaheer Suleman, Hannes Schulz, Jackie Chi Kit Cheung | https://www.aclweb.org/anthology/P19-1386.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-mtl, arch-rnn, arch-lstm, arch-bilstm, arch-coverage, arch-energy, comb-ensemble, search-beam, task-seq2seq, task-relation, task-tree | 2 | Multi-Task Semantic Dependency Parsing with Policy Gradient for Learning Easy-First Strategies | Shuhei Kurita, Anders Søgaard | https://www.aclweb.org/anthology/P19-1232.pdf |
| 2019 | ACL | # optim-adam, train-transfer, train-augment, arch-rnn, arch-lstm, arch-att, arch-copy, search-beam, task-lm, task-seq2seq, task-tree | 1 | Semantic Parsing with Dual Learning | Ruisheng Cao, Su Zhu, Chen Liu, Jieyu Li, Kai Yu | https://www.aclweb.org/anthology/P19-1007.pdf |
| 2019 | ACL | # optim-adam, optim-amsgrad, init-glorot, reg-dropout, reg-norm, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-bilinear, arch-coverage, pre-glove, struct-crf, task-relation, task-tree | 1 | Second-Order Semantic Dependency Parsing with End-to-End Neural Networks | Xinyu Wang, Jingxian Huang, Kewei Tu | https://www.aclweb.org/anthology/P19-1454.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, reg-worddropout, reg-stopping, reg-patience, train-mtl, arch-lstm, arch-bilstm, arch-att, arch-bilinear, arch-coverage, pre-glove, pre-bert, task-relation, task-tree, task-graph, task-alignment | 4 | Compositional Semantic Parsing across Graphbanks | Matthias Lindemann, Jonas Groschwitz, Alexander Koller | https://www.aclweb.org/anthology/P19-1450.pdf |
| 2019 | ACL | # optim-adam, init-glorot, train-mll, pool-mean, arch-lstm, arch-att, arch-subword, pre-fasttext, task-tree | 6 | Cross-lingual Knowledge Graph Alignment via Graph Matching Neural Network | Kun Xu, Liwei Wang, Mo Yu, Yansong Feng, Yan Song, Zhiguo Wang, Dong Yu | https://www.aclweb.org/anthology/P19-1304.pdf |
| 2019 | ACL | # optim-projection, arch-lstm, arch-att, arch-coverage, pre-glove, task-tree | 0 | SParC: Cross-Domain Semantic Parsing in Context | Tao Yu, Rui Zhang, Michihiro Yasunaga, Yi Chern Tan, Xi Victoria Lin, Suyi Li, Heyang Er, Irene Li, Bo Pang, Tao Chen, Emily Ji, Shreya Dixit, David Proctor, Sungrok Shim, Jonathan Kraft, Vincent Zhang, Caiming Xiong, Richard Socher, Dragomir Radev | https://www.aclweb.org/anthology/P19-1443.pdf |
| 2019 | ACL | # optim-adam, optim-projection, train-mll, arch-lstm, arch-att, arch-coverage, search-beam, pre-word2vec, pre-bert, nondif-reinforce, latent-vae, task-seqlab, task-condlm, task-seq2seq, task-relation, task-tree, task-graph | 0 | Rewarding Smatch: Transition-Based AMR Parsing with Reinforcement Learning | Tahira Naseem, Abhishek Shah, Hui Wan, Radu Florian, Salim Roukos, Miguel Ballesteros | https://www.aclweb.org/anthology/P19-1451.pdf |
| 2019 | ACL | # optim-adam, arch-rnn, arch-lstm, arch-att, arch-coverage, arch-transformer, pre-bert, task-textpair, task-lm, task-tree | 37 | Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference | Tom McCoy, Ellie Pavlick, Tal Linzen | https://www.aclweb.org/anthology/P19-1334.pdf |
| 2019 | ACL | # optim-adam, comb-ensemble, task-seqlab, task-tree | 0 | Using Automatically Extracted Minimum Spans to Disentangle Coreference Evaluation from Boundary Detection | Nafise Sadat Moosavi, Leo Born, Massimo Poesio, Michael Strube | https://www.aclweb.org/anthology/P19-1408.pdf |
| 2019 | ACL | # train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-coverage, struct-crf, task-lm, task-tree | 0 | Rationally Reappraising ATIS-based Dialogue Systems | Jingcheng Niu, Gerald Penn | https://www.aclweb.org/anthology/P19-1550.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, reg-labelsmooth, norm-layer, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-memo, arch-copy, arch-coverage, arch-subword, arch-transformer, task-extractive, task-seq2seq, task-tree | 1 | Keeping Notes: Conditional Natural Language Generation with a Scratchpad Encoder | Ryan Benmalek, Madian Khabsa, Suma Desu, Claire Cardie, Michele Banko | https://www.aclweb.org/anthology/P19-1407.pdf |
| 2019 | ACL | # optim-sgd, reg-dropout, reg-worddropout, arch-rnn, arch-lstm, arch-att, arch-coverage, latent-vae, task-lm, task-seq2seq, task-tree | 0 | Syntax-Infused Variational Autoencoder for Text Generation | Xinyuan Zhang, Yi Yang, Siyang Yuan, Dinghan Shen, Lawrence Carin | https://www.aclweb.org/anthology/P19-1199.pdf |
| 2019 | ACL | # optim-sgd, optim-adam, reg-patience, train-mtl, arch-lstm, arch-att, arch-copy, search-beam, nondif-reinforce, task-lm, task-seq2seq, task-tree, task-graph | 1 | Jointly Learning Semantic Parser and Natural Language Generator via Dual Information Maximization | Hai Ye, Wenjie Li, Lu Wang | https://www.aclweb.org/anthology/P19-1201.pdf |
| 2019 | ACL | # optim-adam, reg-stopping, arch-rnn, arch-lstm, arch-treelstm, arch-att, arch-coverage, comb-ensemble, task-textpair, task-lm, task-seq2seq, task-tree | 3 | An Imitation Learning Approach to Unsupervised Parsing | Bowen Li, Lili Mou, Frank Keller | https://www.aclweb.org/anthology/P19-1338.pdf |
| 2019 | ACL | # optim-adam, loss-nce, task-seqlab, task-relation, task-tree | 0 | Women’s Syntactic Resilience and Men’s Grammatical Luck: Gender-Bias in Part-of-Speech Tagging and Dependency Parsing | Aparna Garimella, Carmen Banea, Dirk Hovy, Rada Mihalcea | https://www.aclweb.org/anthology/P19-1339.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, reg-worddropout, arch-rnn, arch-lstm, arch-cnn, arch-att, latent-vae, task-lm, task-seq2seq, task-tree | 0 | Towards Generating Long and Coherent Text with Multi-Level Latent Variable Models | Dinghan Shen, Asli Celikyilmaz, Yizhe Zhang, Liqun Chen, Xin Wang, Jianfeng Gao, Lawrence Carin | https://www.aclweb.org/anthology/P19-1200.pdf |
| 2019 | ACL | # optim-adam, reg-stopping, norm-layer, train-mtl, train-transfer, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-memo, arch-copy, arch-transformer, search-beam, latent-vae, task-lm, task-seq2seq, task-tree | 4 | Decomposable Neural Paraphrase Generation | Zichao Li, Xin Jiang, Lifeng Shang, Qun Liu | https://www.aclweb.org/anthology/P19-1332.pdf |
| 2019 | ACL | # optim-adam, norm-layer, arch-rnn, arch-lstm, arch-gru, arch-cnn, arch-att, arch-transformer, pre-glove, pre-skipthought, pre-bert, task-textpair, task-lm, task-tree | 0 | Towards Lossless Encoding of Sentences | Gabriele Prato, Mathieu Duchesneau, Sarath Chandar, Alain Tapp | https://www.aclweb.org/anthology/P19-1153.pdf |
| 2019 | ACL | # optim-sgd, optim-projection, reg-dropout, reg-stopping, reg-labelsmooth, train-mll, arch-rnn, arch-lstm, arch-att, arch-selfatt, pre-bert, task-textclass, task-spanlab, task-lm, task-tree | 5 | Training Neural Response Selection for Task-Oriented Dialogue Systems | Matthew Henderson, Ivan Vulić, Daniela Gerz, Iñigo Casanueva, Paweł Budzianowski, Sam Coope, Georgios Spithourakis, Tsung-Hsien Wen, Nikola Mrkšić, Pei-Hao Su | https://www.aclweb.org/anthology/P19-1536.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, reg-worddropout, reg-stopping, arch-att, arch-selfatt, arch-subword, arch-transformer, comb-ensemble, pre-fasttext, pre-bert, latent-vae, task-seqlab, task-spanlab, task-lm, task-seq2seq, task-tree | 2 | Unsupervised Question Answering by Cloze Translation | Patrick Lewis, Ludovic Denoyer, Sebastian Riedel | https://www.aclweb.org/anthology/P19-1484.pdf |
| 2019 | ACL | # arch-lstm, arch-att, arch-subword, pre-word2vec, task-textclass, task-lm, task-tree | 0 | Large Dataset and Language Model Fun-Tuning for Humor Recognition | Vladislav Blinov, Valeria Bolotova-Baranova, Pavel Braslavski | https://www.aclweb.org/anthology/P19-1394.pdf |
| 2019 | ACL | # optim-adam, arch-rnn, arch-att, pre-word2vec, pre-bert, task-condlm, task-tree | 17 | A Corpus for Reasoning about Natural Language Grounded in Photographs | Alane Suhr, Stephanie Zhou, Ally Zhang, Iris Zhang, Huajun Bai, Yoav Artzi | https://www.aclweb.org/anthology/P19-1644.pdf |
| 2019 | ACL | # init-glorot, reg-stopping, train-mtl, arch-lstm, arch-memo, search-beam, pre-glove, latent-vae, task-seqlab, task-seq2seq, task-tree | 2 | Controllable Paraphrase Generation with a Syntactic Exemplar | Mingda Chen, Qingming Tang, Sam Wiseman, Kevin Gimpel | https://www.aclweb.org/anthology/P19-1599.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-transfer, arch-lstm, arch-att, task-tree | 1 | Pre-Learning Environment Representations for Data-Efficient Neural Instruction Following | David Gaddy, Dan Klein | https://www.aclweb.org/anthology/P19-1188.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-gru, arch-att, arch-coverage, search-beam, adv-train, latent-topic, task-seqlab, task-lm, task-seq2seq, task-relation, task-tree | 2 | Generating Long and Informative Reviews with Aspect-Aware Coarse-to-Fine Decoding | Junyi Li, Wayne Xin Zhao, Ji-Rong Wen, Yang Song | https://www.aclweb.org/anthology/P19-1190.pdf |
| 2019 | ACL | # optim-sgd, optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-memo, arch-copy, search-beam, pre-glove, task-spanlab, task-seq2seq, task-tree | 0 | Reinforced Dynamic Reasoning for Conversational Question Generation | Boyuan Pan, Hao Li, Ziyu Yao, Deng Cai, Huan Sun | https://www.aclweb.org/anthology/P19-1203.pdf |
| 2019 | ACL | # init-glorot, reg-dropout, arch-att, task-tree | 0 | Duality of Link Prediction and Entailment Graph Induction | Mohammad Javad Hosseini, Shay B. Cohen, Mark Johnson, Mark Steedman | https://www.aclweb.org/anthology/P19-1468.pdf |
| 2019 | ACL | # init-glorot, arch-copy, arch-coverage, loss-nce, task-seq2seq, task-relation, task-tree | 3 | Transforming Complex Sentences into a Semantic Hierarchy | Christina Niklaus, Matthias Cetto, André Freitas, Siegfried Handschuh | https://www.aclweb.org/anthology/P19-1333.pdf |
| 2019 | ACL | # reg-decay, arch-lstm, arch-att, arch-selfatt, comb-ensemble, pre-glove, pre-elmo, pre-bert, task-textclass, task-textpair, task-lm, task-seq2seq, task-tree | 8 | Explain Yourself! Leveraging Language Models for Commonsense Reasoning | Nazneen Fatema Rajani, Bryan McCann, Caiming Xiong, Richard Socher | https://www.aclweb.org/anthology/P19-1487.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, arch-lstm, arch-treelstm, pre-elmo, struct-crf, latent-vae, task-lm, task-tree | 0 | Latent Variable Sentiment Grammar | Liwen Zhang, Kewei Tu, Yue Zhang | https://www.aclweb.org/anthology/P19-1457.pdf |
| 2019 | ACL | # optim-adam, arch-lstm, arch-att, arch-coverage, task-seq2seq, task-relation, task-tree, task-graph | 0 | SemBleu: A Robust Metric for AMR Parsing Evaluation | Linfeng Song, Daniel Gildea | https://www.aclweb.org/anthology/P19-1446.pdf |
| 2019 | ACL | # optim-adam, train-augment, arch-lstm, arch-cnn, arch-att, comb-ensemble, search-greedy, search-beam, pre-glove, task-condlm, task-seq2seq, task-tree | 2 | Are You Looking? Grounding to Multiple Modalities in Vision-and-Language Navigation | Ronghang Hu, Daniel Fried, Anna Rohrbach, Dan Klein, Trevor Darrell, Kate Saenko | https://www.aclweb.org/anthology/P19-1655.pdf |
| 2019 | ACL | # optim-adam, train-mtl, train-mll, train-transfer, arch-rnn, arch-lstm, arch-gru, arch-bigru, arch-cnn, arch-att, comb-ensemble, struct-crf, task-seq2seq, task-tree | 2 | Robust Zero-Shot Cross-Domain Slot Filling with Example Values | Darsh Shah, Raghav Gupta, Amir Fayazi, Dilek Hakkani-Tur | https://www.aclweb.org/anthology/P19-1547.pdf |
| 2019 | ACL | # optim-adam, optim-adagrad, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-memo, arch-subword, arch-transformer, search-beam, task-seq2seq, task-tree | 1 | Improving Multi-turn Dialogue Modelling with Utterance ReWriter | Hui Su, Xiaoyu Shen, Rongzhi Zhang, Fei Sun, Pengwei Hu, Cheng Niu, Jie Zhou | https://www.aclweb.org/anthology/P19-1003.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-mll, train-augment, pool-max, pool-mean, arch-rnn, arch-lstm, arch-att, arch-copy, arch-bilinear, arch-coverage, arch-subword, search-greedy, search-beam, pre-glove, pre-bert, latent-vae, task-seq2seq, task-relation, task-tree, task-graph | 7 | AMR Parsing as Sequence-to-Graph Transduction | Sheng Zhang, Xutai Ma, Kevin Duh, Benjamin Van Durme | https://www.aclweb.org/anthology/P19-1009.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-memo, pre-glove, pre-elmo, task-textpair, task-seq2seq, task-relation, task-tree | 0 | An Empirical Study of Span Representations in Argumentation Structure Parsing | Tatsuki Kuribayashi, Hiroki Ouchi, Naoya Inoue, Paul Reisert, Toshinori Miyoshi, Jun Suzuki, Kentaro Inui | https://www.aclweb.org/anthology/P19-1464.pdf |
| 2019 | ACL | # reg-stopping, train-transfer, arch-rnn, arch-att, pre-glove, pre-bert, task-spanlab, task-lm, task-tree | 12 | MultiQA: An Empirical Investigation of Generalization and Transfer in Reading Comprehension | Alon Talmor, Jonathan Berant | https://www.aclweb.org/anthology/P19-1485.pdf |
| 2019 | ACL | # optim-sgd, optim-adam, arch-memo, arch-transformer, pre-bert, task-textclass, task-textpair, task-seq2seq, task-tree, meta-init | 3 | Personalizing Dialogue Agents via Meta-Learning | Andrea Madotto, Zhaojiang Lin, Chien-Sheng Wu, Pascale Fung | https://www.aclweb.org/anthology/P19-1542.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-mtl, train-mll, train-transfer, train-active, arch-lstm, arch-bilstm, arch-att, arch-bilinear, comb-ensemble, search-viterbi, pre-elmo, task-seqlab, task-lm, task-relation, task-tree | 1 | Semi-supervised Domain Adaptation for Dependency Parsing | Zhenghua Li, Xue Peng, Min Zhang, Rui Wang, Luo Si | https://www.aclweb.org/anthology/P19-1229.pdf |
| 2019 | ACL | # arch-att, arch-copy, arch-coverage, search-beam, nondif-minrisk, task-textpair, task-seq2seq, task-tree | 1 | Reranking for Neural Semantic Parsing | Pengcheng Yin, Graham Neubig | https://www.aclweb.org/anthology/P19-1447.pdf |
| 2019 | ACL | # optim-adam, reg-stopping, norm-gradient, train-mtl, arch-rnn, arch-gru, arch-att, arch-selfatt, arch-gating, task-seq2seq, task-relation, task-tree | 3 | Symbolic Inductive Bias for Visually Grounded Learning of Spoken Language | Grzegorz Chrupała | https://www.aclweb.org/anthology/P19-1647.pdf |
| 2019 | ACL | # arch-rnn, arch-lstm, arch-gru, arch-gnn, arch-att, arch-selfatt, task-seq2seq, task-tree | 5 | Representing Schema Structure with Graph Neural Networks for Text-to-SQL Parsing | Ben Bogin, Jonathan Berant, Matt Gardner | https://www.aclweb.org/anthology/P19-1448.pdf |
| 2019 | ACL | # optim-adam, init-glorot, train-mtl, arch-lstm, arch-att, arch-selfatt, comb-ensemble, pre-elmo, struct-crf, task-seq2seq, task-relation, task-tree | 1 | How to Best Use Syntax in Semantic Role Labelling | Yufei Wang, Mark Johnson, Stephen Wan, Yifang Sun, Wei Wang | https://www.aclweb.org/anthology/P19-1529.pdf |
| 2019 | ACL | # optim-adam, optim-projection, init-glorot, reg-dropout, train-mll, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-subword, pre-fasttext, pre-paravec, pre-bert, struct-crf, adv-train, task-textclass, task-seqlab, task-seq2seq, task-tree, task-lexicon, task-alignment | 3 | Multi-Source Cross-Lingual Model Transfer: Learning What to Share | Xilun Chen, Ahmed Hassan Awadallah, Hany Hassan, Wei Wang, Claire Cardie | https://www.aclweb.org/anthology/P19-1299.pdf |
| 2019 | EMNLP | # train-active, arch-att, latent-vae, loss-nce, task-tree | 0 | Learning to Ask for Conversational Machine Learning | Shashank Srivastava, Igor Labutov, Tom Mitchell | https://www.aclweb.org/anthology/D19-1426.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, reg-worddropout, train-augment, arch-rnn, arch-lstm, arch-cnn, arch-att, nondif-reinforce, task-textclass, task-seq2seq, task-tree | 0 | Automatically Learning Data Augmentation Policies for Dialogue Tasks | Tong Niu, Mohit Bansal | https://www.aclweb.org/anthology/D19-1132.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-bilinear, arch-coverage, comb-ensemble, pre-fasttext, pre-glove, pre-elmo, pre-bert, task-lm, task-relation, task-tree | 0 | Syntax-aware Multilingual Semantic Role Labeling | Shexia He, Zuchao Li, Hai Zhao | https://www.aclweb.org/anthology/D19-1538.pdf |
| 2019 | EMNLP | # activ-relu, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-bilinear, comb-ensemble, pre-elmo, pre-bert, struct-crf, task-seqlab, task-relation, task-tree | 1 | Dependency-Guided LSTM-CRF for Named Entity Recognition | Zhanming Jie, Wei Lu | https://www.aclweb.org/anthology/D19-1399.pdf |
| 2019 | EMNLP | # arch-rnn, arch-lstm, arch-att, arch-coverage, comb-ensemble, search-beam, pre-glove, task-lm, task-tree | 0 | Span-based Hierarchical Semantic Parsing for Task-Oriented Dialog | Panupong Pasupat, Sonal Gupta, Karishma Mandyam, Rushin Shah, Mike Lewis, Luke Zettlemoyer | https://www.aclweb.org/anthology/D19-1163.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, reg-norm, arch-rnn, arch-lstm, arch-att, task-textpair, task-tree | 1 | Posing Fair Generalization Tasks for Natural Language Inference | Atticus Geiger, Ignacio Cases, Lauri Karttunen, Christopher Potts | https://www.aclweb.org/anthology/D19-1456.pdf |
| 2019 | EMNLP | # optim-adagrad, reg-norm, arch-rnn, arch-lstm, arch-bilstm, arch-gnn, arch-att, arch-bilinear, pre-glove, task-textclass, task-relation, task-tree | 0 | Event Representation Learning Enhanced with External Commonsense Knowledge | Xiao Ding, Kuo Liao, Ting Liu, Zhongyang Li, Junwen Duan | https://www.aclweb.org/anthology/D19-1495.pdf |
| 2019 | EMNLP | # optim-adam, train-mll, train-augment, pool-max, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, pre-word2vec, pre-glove, pre-elmo, pre-bert, task-textpair, task-spanlab, task-lm, task-tree | 0 | Do NLP Models Know Numbers? Probing Numeracy in Embeddings | Eric Wallace, Yizhong Wang, Sujian Li, Sameer Singh, Matt Gardner | https://www.aclweb.org/anthology/D19-1534.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, train-mtl, arch-att, arch-memo, arch-bilinear, arch-transformer, search-beam, pre-bert, task-seq2seq, task-tree | 0 | Multi-Task Learning for Conversational Question Answering over a Large-Scale Knowledge Base | Tao Shen, Xiubo Geng, Tao Qin, Daya Guo, Duyu Tang, Nan Duan, Guodong Long, Daxin Jiang | https://www.aclweb.org/anthology/D19-1248.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-cnn, arch-att, arch-selfatt, arch-bilinear, arch-transformer, pre-word2vec, pre-bert, task-seqlab, task-seq2seq, task-relation, task-tree | 0 | A Syntax-aware Multi-task Learning Framework for Chinese Semantic Role Labeling | Qingrong Xia, Zhenghua Li, Min Zhang | https://www.aclweb.org/anthology/D19-1541.pdf |
| 2019 | EMNLP | # optim-adam, arch-lstm, arch-bilstm, arch-att, pre-glove, pre-bert, latent-vae, task-seq2seq, task-tree | 0 | Data-Anonymous Encoding for Text-to-SQL Generation | Zhen Dong, Shizhao Sun, Hongzhi Liu, Jian-Guang Lou, Dongmei Zhang | https://www.aclweb.org/anthology/D19-1543.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, train-mtl, train-mll, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-bilinear, arch-subword, comb-ensemble, pre-word2vec, pre-fasttext, pre-elmo, struct-crf, task-lm, task-seq2seq, task-relation, task-tree | 0 | Semi-Supervised Semantic Role Labeling with Cross-View Training | Rui Cai, Mirella Lapata | https://www.aclweb.org/anthology/D19-1094.pdf |
| 2019 | EMNLP | # pre-glove, pre-skipthought, pre-elmo, task-seq2seq, task-tree | 0 | Split or Merge: Which is Better for Unsupervised RST Parsing? | Naoki Kobayashi, Tsutomu Hirao, Kengo Nakamura, Hidetaka Kamigaito, Manabu Okumura, Masaaki Nagata | https://www.aclweb.org/anthology/D19-1587.pdf |
| 2019 | EMNLP | # reg-dropout, arch-lstm, arch-bilstm, arch-att, arch-coverage, pre-glove, pre-elmo, pre-bert, latent-vae, task-textpair, task-spanlab, task-seq2seq, task-tree, task-graph | 0 | Don’t paraphrase, detect! Rapid and Effective Data Collection for Semantic Parsing | Jonathan Herzig, Jonathan Berant | https://www.aclweb.org/anthology/D19-1394.pdf |
| 2019 | EMNLP | # reg-dropout, reg-labelsmooth, train-mtl, train-mll, train-augment, pool-mean, arch-lstm, arch-bilstm, arch-att, arch-bilinear, arch-coverage, search-greedy, search-beam, pre-glove, pre-bert, task-seq2seq, task-relation, task-tree, task-graph | 2 | Broad-Coverage Semantic Parsing as Transduction | Sheng Zhang, Xutai Ma, Kevin Duh, Benjamin Van Durme | https://www.aclweb.org/anthology/D19-1392.pdf |
| 2019 | EMNLP | # arch-lstm, arch-att, pre-glove, pre-elmo, pre-bert, task-textpair, task-spanlab, task-lm, task-tree | 1 | “Going on a vacation” takes longer than “Going for a walk”: A Study of Temporal Commonsense Understanding | Ben Zhou, Daniel Khashabi, Qiang Ning, Dan Roth | https://www.aclweb.org/anthology/D19-1332.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, arch-lstm, arch-att, arch-coverage, comb-ensemble, search-beam, pre-glove, latent-vae, task-seq2seq, task-tree, task-graph | 0 | Learning Semantic Parsers from Denotations with Latent Structured Alignments and Abstract Programs | Bailin Wang, Ivan Titov, Mirella Lapata | https://www.aclweb.org/anthology/D19-1391.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, reg-stopping, norm-gradient, train-transfer, train-augment, arch-rnn, arch-lstm, arch-bilstm, arch-att, pre-glove, task-seq2seq, task-tree | 0 | Data Augmentation with Atomic Templates for Spoken Language Understanding | Zijian Zhao, Su Zhu, Kai Yu | https://www.aclweb.org/anthology/D19-1375.pdf |
| 2019 | EMNLP | # optim-adam, train-mtl, arch-rnn, arch-att, arch-selfatt, arch-memo, arch-copy, arch-transformer, comb-ensemble, pre-elmo, pre-bert, task-spanlab, task-lm, task-seq2seq, task-relation, task-tree | 0 | Discourse-Aware Semantic Self-Attention for Narrative Reading Comprehension | Todor Mihaylov, Anette Frank | https://www.aclweb.org/anthology/D19-1257.pdf |
| 2019 | EMNLP | # optim-adam, train-mtl, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-bilinear, comb-ensemble, pre-fasttext, pre-elmo, latent-vae, task-textclass, task-seq2seq, task-tree | 1 | Capturing Argument Interaction in Semantic Role Labeling with Capsule Networks | Xinchi Chen, Chunchuan Lyu, Ivan Titov | https://www.aclweb.org/anthology/D19-1544.pdf |
| 2019 | EMNLP | # optim-sgd, optim-adam, arch-rnn, arch-lstm, arch-gru, arch-gating, arch-coverage, arch-transformer, pre-glove, adv-train, latent-vae, task-seq2seq, task-tree | 6 | An End-to-End Generative Architecture for Paraphrase Generation | Qian Yang, Zhouyuan Huo, Dinghan Shen, Yong Cheng, Wenlin Wang, Guoyin Wang, Lawrence Carin | https://www.aclweb.org/anthology/D19-1309.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, arch-cnn, arch-att, arch-coverage, arch-transformer, pre-glove, pre-skipthought, pre-bert, task-spanlab, task-lm, task-relation, task-tree | 0 | Linking artificial and human neural representations of language | Jon Gauthier, Roger Levy | https://www.aclweb.org/anthology/D19-1050.pdf |
| 2019 | EMNLP | # arch-att, arch-coverage, pre-bert, task-spanlab, task-tree | 1 | QuaRTz: An Open-Domain Dataset of Qualitative Relationship Questions | Oyvind Tafjord, Matt Gardner, Kevin Lin, Peter Clark | https://www.aclweb.org/anthology/D19-1608.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, pool-max, arch-rnn, arch-lstm, arch-gru, arch-cnn, arch-att, arch-selfatt, arch-memo, arch-transformer, task-seq2seq, task-tree | 0 | Asking Clarification Questions in Knowledge-Based Question Answering | Jingjing Xu, Yuechen Wang, Duyu Tang, Nan Duan, Pengcheng Yang, Qi Zeng, Ming Zhou, Xu Sun | https://www.aclweb.org/anthology/D19-1172.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, train-mll, arch-rnn, arch-lstm, arch-att, arch-copy, comb-ensemble, pre-glove, latent-vae, task-relation, task-tree, task-graph, task-lexicon | 0 | Semantic graph parsing with recurrent neural network DAG grammars | Federico Fancellu, Sorcha Gilroy, Adam Lopez, Mirella Lapata | https://www.aclweb.org/anthology/D19-1278.pdf |
| 2019 | EMNLP | # optim-adam, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-copy, arch-subword, arch-transformer, comb-ensemble, task-seq2seq, task-tree, task-graph | 0 | Modeling Graph Structure in Transformer for Better AMR-to-Text Generation | Jie Zhu, Junhui Li, Muhua Zhu, Longhua Qian, Min Zhang, Guodong Zhou | https://www.aclweb.org/anthology/D19-1548.pdf |
| 2019 | EMNLP | # arch-rnn, arch-coverage, task-seqlab, task-tree | 0 | Entity resolution for noisy ASR transcripts | Arushi Raghuvanshi, Vijay Ramakrishnan, Varsha Embar, Lucien Carroll, Karthik Raghunathan | https://www.aclweb.org/anthology/D19-3011.pdf |
| 2019 | EMNLP | # train-mll, arch-rnn, arch-att, arch-selfatt, arch-subword, arch-transformer, search-beam, task-lm, task-seq2seq, task-tree | 0 | Towards Understanding Neural Machine Translation with Word Importance | Shilin He, Zhaopeng Tu, Xing Wang, Longyue Wang, Michael Lyu, Shuming Shi | https://www.aclweb.org/anthology/D19-1088.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, arch-gnn, arch-att, arch-selfatt, arch-copy, arch-transformer, pre-bert, latent-vae, task-tree | 0 | Answering Conversational Questions on Structured Data without Logical Forms | Thomas Mueller, Francesco Piccinno, Peter Shaw, Massimo Nicosia, Yasemin Altun | https://www.aclweb.org/anthology/D19-1603.pdf |
| 2019 | EMNLP | # optim-adam, init-glorot, arch-lstm, arch-att, task-condlm, task-seq2seq, task-tree | 0 | RUN through the Streets: A New Dataset and Baseline Models for Realistic Urban Navigation | Tzuf Paz-Argaman, Reut Tsarfaty | https://www.aclweb.org/anthology/D19-1681.pdf |
| 2019 | EMNLP | # optim-adam, train-transfer, arch-rnn, arch-lstm, arch-gru, arch-att, arch-copy, arch-coverage, comb-ensemble, pre-glove, pre-elmo, pre-bert, latent-vae, task-seq2seq, task-tree | 0 | Data-Efficient Goal-Oriented Conversation with Dialogue Knowledge Transfer Networks | Igor Shalyminov, Sungjin Lee, Arash Eshghi, Oliver Lemon | https://www.aclweb.org/anthology/D19-1183.pdf |
| 2019 | EMNLP | # optim-adam, train-mtl, train-transfer, arch-rnn, arch-birnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-subword, arch-transformer, search-greedy, search-beam, latent-vae, task-seqlab, task-lm, task-seq2seq, task-tree | 0 | Latent Part-of-Speech Sequences for Neural Machine Translation | Xuewen Yang, Yingru Liu, Dongliang Xie, Xin Wang, Niranjan Balasubramanian | https://www.aclweb.org/anthology/D19-1072.pdf |
| 2019 | EMNLP | # reg-stopping, reg-patience, arch-lstm, arch-att, arch-copy, arch-coverage, search-greedy, pre-word2vec, task-textclass, task-seq2seq, task-tree | 0 | CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases | Tao Yu, Rui Zhang, Heyang Er, Suyi Li, Eric Xue, Bo Pang, Xi Victoria Lin, Yi Chern Tan, Tianze Shi, Zihan Li, Youxuan Jiang, Michihiro Yasunaga, Sungrok Shim, Tao Chen, Alexander Fabbri, Zifan Li, Luyao Chen, Yuwen Zhang, Shreya Dixit, Vincent Zhang, Caiming Xiong, Richard Socher, Walter Lasecki, Dragomir Radev | https://www.aclweb.org/anthology/D19-1204.pdf |
| 2019 | EMNLP | # optim-adam, train-augment, arch-lstm, arch-att, arch-coverage, arch-transformer, pre-fasttext, task-seqlab, task-lm, task-seq2seq, task-tree, task-alignment | 0 | Handling Syntactic Divergence in Low-resource Machine Translation | Chunting Zhou, Xuezhe Ma, Junjie Hu, Graham Neubig | https://www.aclweb.org/anthology/D19-1143.pdf |
| 2019 | EMNLP | # optim-adam, arch-lstm, arch-att, arch-selfatt, arch-memo, arch-coverage, comb-ensemble, task-tree | 1 | PullNet: Open Domain Question Answering with Iterative Retrieval on Knowledge Bases and Text | Haitian Sun, Tania Bedrax-Weiss, William Cohen | https://www.aclweb.org/anthology/D19-1242.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-copy, pre-glove, pre-bert, nondif-reinforce, task-textclass, task-seq2seq, task-relation, task-tree | 0 | A Split-and-Recombine Approach for Follow-up Query Analysis | Qian Liu, Bei Chen, Haoyan Liu, Jian-Guang Lou, Lei Fang, Bin Zhou, Dongmei Zhang | https://www.aclweb.org/anthology/D19-1535.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, init-glorot, train-mll, train-active, train-augment, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-copy, pre-glove, pre-elmo, pre-bert, task-seq2seq, task-tree, task-graph, task-alignment | 0 | Translate and Label! An Encoder-Decoder Approach for Cross-lingual Semantic Role Labeling | Angel Daza, Anette Frank | https://www.aclweb.org/anthology/D19-1056.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, reg-labelsmooth, arch-att, arch-coverage, arch-subword, arch-transformer, search-beam, loss-nce, task-seqlab, task-seq2seq, task-tree | 0 | Improving Back-Translation with Uncertainty-based Confidence Estimation | Shuo Wang, Yang Liu, Chao Wang, Huanbo Luan, Maosong Sun | https://www.aclweb.org/anthology/D19-1073.pdf |
| 2019 | EMNLP | # arch-lstm, arch-bilstm, arch-treelstm, arch-att, arch-coverage, task-relation, task-tree | 0 | Leveraging Frequent Query Substructures to Generate Formal Queries for Complex Question Answering | Jiwei Ding, Wei Hu, Qixin Xu, Yuzhong Qu | https://www.aclweb.org/anthology/D19-1263.pdf |
| 2019 | EMNLP | # optim-sgd, arch-rnn, arch-att, arch-coverage, struct-hmm, task-tree | 0 | EUSP: An Easy-to-Use Semantic Parsing PlatForm | Bo An, Chen Bo, Xianpei Han, Le Sun | https://www.aclweb.org/anthology/D19-3012.pdf |
| 2019 | EMNLP | # arch-rnn, arch-lstm, arch-bilstm, arch-treelstm, arch-cnn, arch-att, arch-residual, arch-coverage, pre-glove, task-textpair, task-lm, task-relation, task-tree | 0 | Incorporating Contextual and Syntactic Structures Improves Semantic Similarity Modeling | Linqing Liu, Wei Yang, Jinfeng Rao, Raphael Tang, Jimmy Lin | https://www.aclweb.org/anthology/D19-1114.pdf |
| 2019 | EMNLP | # optim-adam, init-glorot, train-mtl, train-transfer, arch-lstm, arch-bilstm, arch-att, pre-elmo, pre-bert, adv-train, task-textclass, task-lm, task-seq2seq, task-tree | 0 | Transductive Learning of Neural Language Models for Syntactic and Semantic Analysis | Hiroki Ouchi, Jun Suzuki, Kentaro Inui | https://www.aclweb.org/anthology/D19-1379.pdf |
| 2019 | EMNLP | # optim-adam, reg-stopping, reg-patience, arch-lstm, arch-att, arch-bilinear, arch-subword, pre-word2vec, pre-fasttext, pre-glove, task-textpair, task-seqlab, task-lm, task-relation, task-tree | 0 | LINSPECTOR WEB: A Multilingual Probing Suite for Word Representations | Max Eichler, Gözde Gül Şahin, Iryna Gurevych | https://www.aclweb.org/anthology/D19-3022.pdf |
| 2019 | EMNLP | # arch-lstm, arch-bilstm, arch-gnn, arch-att, arch-coverage, loss-nce, task-seq2seq, task-tree | 1 | Global Reasoning over Database Structures for Text-to-SQL Parsing | Ben Bogin, Matt Gardner, Jonathan Berant | https://www.aclweb.org/anthology/D19-1378.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, train-transfer, pool-mean, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-gnn, arch-cnn, arch-att, arch-selfatt, arch-memo, arch-bilinear, pre-word2vec, pre-bert, task-seq2seq, task-relation, task-tree | 0 | Leveraging Dependency Forest for Neural Medical Relation Extraction | Linfeng Song, Yue Zhang, Daniel Gildea, Mo Yu, Zhiguo Wang, Jinsong Su | https://www.aclweb.org/anthology/D19-1020.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, train-mll, arch-lstm, arch-att, pre-glove, task-seqlab, task-seq2seq, task-relation, task-tree | 0 | A Pilot Study for Chinese SQL Semantic Parsing | Qingkai Min, Yuefeng Shi, Yue Zhang | https://www.aclweb.org/anthology/D19-1377.pdf |
| 2019 | EMNLP | # arch-cnn, arch-coverage, task-seqlab, task-relation, task-tree | 0 | What’s Wrong with Hebrew NLP? And How to Make it Right | Reut Tsarfaty, Shoval Sadde, Stav Klein, Amit Seker | https://www.aclweb.org/anthology/D19-3044.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, norm-layer, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-copy, arch-bilinear, arch-coverage, arch-transformer, search-beam, latent-vae, task-seq2seq, task-relation, task-tree, task-graph | 0 | Core Semantic First: A Top-down Approach for AMR Parsing | Deng Cai, Wai Lam | https://www.aclweb.org/anthology/D19-1393.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-copy, arch-subword, arch-transformer, search-beam, task-seq2seq, task-tree | 1 | JuICe: A Large Scale Distantly Supervised Dataset for Open Domain Context-based Code Generation | Rajas Agashe, Srinivasan Iyer, Luke Zettlemoyer | https://www.aclweb.org/anthology/D19-1546.pdf |
| 2019 | EMNLP | # optim-adam, reg-decay, norm-gradient, arch-gnn, arch-att, arch-selfatt, arch-transformer, pre-bert, task-spanlab, task-tree | 0 | NumNet: Machine Reading Comprehension with Numerical Reasoning | Qiu Ran, Yankai Lin, Peng Li, Jie Zhou, Zhiyuan Liu | https://www.aclweb.org/anthology/D19-1251.pdf |
| 2019 | EMNLP | # train-mtl, arch-rnn, arch-lstm, arch-att, arch-memo, task-relation, task-tree | 0 | Towards Making a Dependency Parser See | Michalina Strzyz, David Vilares, Carlos Gómez-Rodríguez | https://www.aclweb.org/anthology/D19-1160.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, reg-stopping, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-bilinear, arch-coverage, arch-subword, arch-transformer, comb-ensemble, pre-fasttext, pre-elmo, struct-crf, latent-vae, task-seqlab, task-lm, task-seq2seq, task-relation, task-tree | 0 | Semantic Role Labeling with Iterative Structure Refinement | Chunchuan Lyu, Shay B. Cohen, Ivan Titov | https://www.aclweb.org/anthology/D19-1099.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, reg-stopping, train-augment, arch-lstm, arch-att, arch-selfatt, task-textclass, task-seq2seq, task-tree | 0 | Clause-Wise and Recursive Decoding for Complex and Cross-Domain Text-to-SQL Generation | Dongjun Lee | https://www.aclweb.org/anthology/D19-1624.pdf |
| 2019 | EMNLP | # optim-adam, task-relation, task-tree | 0 | A Stylometry Toolkit for Latin Literature | Thomas J. Bolt, Jeffrey H. Flynt, Pramit Chaudhuri, Joseph P. Dexter | https://www.aclweb.org/anthology/D19-3035.pdf |
| 2019 | EMNLP | # optim-adam, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-coverage, pre-bert, adv-examp, task-textpair, task-spanlab, task-lm, task-seq2seq, task-tree | 2 | CLUTRR: A Diagnostic Benchmark for Inductive Reasoning from Text | Koustuv Sinha, Shagun Sodhani, Jin Dong, Joelle Pineau, William L. Hamilton | https://www.aclweb.org/anthology/D19-1458.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-treelstm, arch-cnn, search-beam, pre-word2vec, struct-crf, latent-vae, task-seqlab, task-lm, task-relation, task-tree | 0 | Neural Generative Rhetorical Structure Parsing | Amandla Mabona, Laura Rimell, Stephen Clark, Andreas Vlachos | https://www.aclweb.org/anthology/D19-1233.pdf |
| 2019 | EMNLP | # optim-projection, train-augment, pool-mean, arch-rnn, arch-lstm, arch-att, task-tree | 2 | Executing Instructions in Situated Collaborative Interactions | Alane Suhr, Claudia Yan, Jack Schluger, Stanley Yu, Hadi Khader, Marwa Mouallem, Iris Zhang, Yoav Artzi | https://www.aclweb.org/anthology/D19-1218.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, train-augment, arch-lstm, arch-gnn, arch-att, arch-selfatt, arch-copy, arch-coverage, pre-glove, pre-bert, task-seq2seq, task-tree | 0 | Editing-Based SQL Query Generation for Cross-Domain Context-Dependent Questions | Rui Zhang, Tao Yu, Heyang Er, Sungrok Shim, Eric Xue, Xi Victoria Lin, Tianze Shi, Caiming Xiong, Richard Socher, Dragomir Radev | https://www.aclweb.org/anthology/D19-1537.pdf |
| 2019 | EMNLP | # arch-lstm, arch-att, task-tree | 0 | Leveraging Adjective-Noun Phrasing Knowledge for Comparison Relation Prediction in Text-to-SQL | Haoyan Liu, Lei Fang, Qian Liu, Bei Chen, Jian-Guang Lou, Zhoujun Li | https://www.aclweb.org/anthology/D19-1356.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, train-mtl, train-mll, train-transfer, pool-mean, arch-lstm, arch-att, arch-selfatt, arch-bilinear, arch-transformer, pre-elmo, pre-bert, task-textclass, task-textpair, task-lm, task-seq2seq, task-relation, task-tree, task-lexicon | 8 | 75 Languages, 1 Model: Parsing Universal Dependencies Universally | Dan Kondratyuk, Milan Straka | https://www.aclweb.org/anthology/D19-1279.pdf |
| 2019 | EMNLP | # arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-subword, task-seq2seq, task-tree | 2 | Learning Programmatic Idioms for Scalable Semantic Parsing | Srinivasan Iyer, Alvin Cheung, Luke Zettlemoyer | https://www.aclweb.org/anthology/D19-1545.pdf |
| 2019 | EMNLP | # optim-projection, arch-att, arch-coverage, pre-bert, task-textpair, task-lm, task-tree | 0 | How well do NLI models capture verb veridicality? | Alexis Ross, Ellie Pavlick | https://www.aclweb.org/anthology/D19-1228.pdf |
| 2019 | EMNLP | # arch-att, pre-word2vec, adv-train, task-seq2seq, task-relation, task-tree | 0 | Generating Modern Poetry Automatically in Finnish | Mika Hämäläinen, Khalid Alnajjar | https://www.aclweb.org/anthology/D19-1617.pdf |
| 2019 | EMNLP | # pre-glove, pre-bert, task-extractive, task-lm, task-condlm, task-seq2seq, task-tree | 1 | Counterfactual Story Reasoning and Generation | Lianhui Qin, Antoine Bosselut, Ari Holtzman, Chandra Bhagavatula, Elizabeth Clark, Yejin Choi | https://www.aclweb.org/anthology/D19-1509.pdf |
| 2019 | EMNLP | # arch-rnn, arch-lstm, arch-bilstm, adv-train, task-lm, task-seq2seq, task-relation, task-tree, task-graph | 0 | Nearly-Unsupervised Hashcode Representations for Biomedical Relation Extraction | Sahil Garg, Aram Galstyan, Greg Ver Steeg, Guillermo Cecchi | https://www.aclweb.org/anthology/D19-1414.pdf |
| 2019 | EMNLP | # optim-adam, optim-adadelta, optim-projection, init-glorot, reg-dropout, norm-layer, train-mtl, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-residual, arch-bilinear, arch-coverage, arch-transformer, pre-glove, pre-elmo, pre-bert, task-textclass, task-seq2seq, task-relation, task-tree | 0 | Syntax-Enhanced Self-Attention-Based Semantic Role Labeling | Yue Zhang, Rui Wang, Luo Si | https://www.aclweb.org/anthology/D19-1057.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, init-glorot, reg-dropout, arch-att, arch-selfatt, arch-memo, arch-coverage, arch-transformer, search-beam, pre-elmo, pre-bert, task-spanlab, task-seq2seq, task-relation, task-tree | 1 | A Multi-Type Multi-Span Network for Reading Comprehension that Requires Discrete Reasoning | Minghao Hu, Yuxing Peng, Zhen Huang, Dongsheng Li | https://www.aclweb.org/anthology/D19-1170.pdf |
| 2019 | EMNLP | # arch-transformer, pre-word2vec, pre-bert, latent-vae, latent-topic, task-textclass, task-tree | 0 | Identifying Predictive Causal Factors from News Streams | Ananth Balashankar, Sunandan Chakraborty, Samuel Fraiberger, Lakshminarayanan Subramanian | https://www.aclweb.org/anthology/D19-1238.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-subword, struct-crf, task-textclass, task-tree | 0 | Reconstructing Capsule Networks for Zero-shot Intent Classification | Han Liu, Xiaotong Zhang, Lu Fan, Xuandi Fu, Qimai Li, Xiao-Ming Wu, Albert Y.S. Lam | https://www.aclweb.org/anthology/D19-1486.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, arch-rnn, arch-att, arch-copy, arch-coverage, task-seq2seq, task-tree | 0 | NL2pSQL: Generating Pseudo-SQL Queries from Under-Specified Natural Language Questions | Fuxiang Chen, Seung-won Hwang, Jaegul Choo, Jung-Woo Ha, Sunghun Kim | https://www.aclweb.org/anthology/D19-1262.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, reg-stopping, train-mtl, arch-lstm, arch-bilstm, arch-att, arch-memo, pre-glove, pre-elmo, pre-bert, task-textpair, task-spanlab, task-tree | 1 | What’s Missing: A Knowledge Gap Guided Approach for Multi-hop Question Answering | Tushar Khot, Ashish Sabharwal, Peter Clark | https://www.aclweb.org/anthology/D19-1281.pdf |
| 2019 | EMNLP | # optim-sgd, optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-gru, arch-att, arch-selfatt, arch-transformer, struct-cfg, task-textclass, task-textpair, task-lm, task-seq2seq, task-tree | 0 | PaLM: A Hybrid Parser and Language Model | Hao Peng, Roy Schwartz, Noah A. Smith | https://www.aclweb.org/anthology/D19-1376.pdf |
| 2019 | EMNLP | # optim-adam, init-glorot, arch-att, arch-bilinear, task-relation, task-tree | 0 | Dependency Parsing for Spoken Dialog Systems | Sam Davidson, Dian Yu, Zhou Yu | https://www.aclweb.org/anthology/D19-1162.pdf |
| 2019 | EMNLP | # reg-norm, train-mll, arch-att, struct-crf, struct-cfg, latent-vae, task-seqlab, task-tree | 1 | Text2Math: End-to-end Parsing Text into Math Expressions | Yanyan Zou, Wei Lu | https://www.aclweb.org/anthology/D19-1536.pdf |
| 2019 | EMNLP | # optim-projection, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-memo, search-greedy, pre-glove, task-seq2seq, task-tree | 0 | Look-up and Adapt: A One-shot Semantic Parser | Zhichu Lu, Forough Arabshahi, Igor Labutov, Tom Mitchell | https://www.aclweb.org/anthology/D19-1104.pdf |
| 2019 | EMNLP | # reg-dropout, train-active, arch-att, pre-bert, task-tree | 0 | Model-based Interactive Semantic Parsing: A Unified Framework and A Text-to-SQL Case Study | Ziyu Yao, Yu Su, Huan Sun, Wen-tau Yih | https://www.aclweb.org/anthology/D19-1547.pdf |
| 2019 | EMNLP | # optim-adam, arch-att, arch-selfatt, arch-coverage, pre-bert, nondif-reinforce, latent-vae, task-spanlab, task-tree | 2 | A Discrete Hard EM Approach for Weakly Supervised Question Answering | Sewon Min, Danqi Chen, Hannaneh Hajishirzi, Luke Zettlemoyer | https://www.aclweb.org/anthology/D19-1284.pdf |
| 2019 | EMNLP | # reg-dropout, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-coverage, arch-transformer, pre-bert, struct-cfg, task-lm, task-seq2seq, task-cloze, task-tree | 0 | Tree Transformer: Integrating Tree Structures into Self-Attention | Yaushian Wang, Hung-Yi Lee, Yun-Nung Chen | https://www.aclweb.org/anthology/D19-1098.pdf |
| 2019 | EMNLP | # optim-adam, arch-att, arch-transformer, comb-ensemble, pre-bert, task-lm, task-condlm, task-cloze, task-tree | 11 | Fusion of Detected Objects in Text for Visual Question Answering | Chris Alberti, Jeffrey Ling, Michael Collins, David Reitter | https://www.aclweb.org/anthology/D19-1219.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-recnn, arch-cnn, arch-att, arch-memo, arch-copy, comb-ensemble, pre-word2vec, task-tree | 0 | Tree-structured Decoding for Solving Math Word Problems | Qianying Liu, Wenyv Guan, Sujian Li, Daisuke Kawahara | https://www.aclweb.org/anthology/D19-1241.pdf |
| 2019 | EMNLP | # optim-adam, arch-rnn, arch-lstm, search-beam, task-lm, task-relation, task-tree | 0 | Variable beam search for generative neural parsing and its relevance for the analysis of neuro-imaging signal | Benoit Crabbé, Murielle Fabre, Christophe Pallier | https://www.aclweb.org/anthology/D19-1106.pdf |
| 2019 | EMNLP | # optim-adam, pool-max, pool-mean, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-bilinear, arch-subword, pre-word2vec, pre-elmo, task-lm, task-seq2seq, task-tree | 0 | A Unified Neural Coherence Model | Han Cheol Moon, Tasnim Mohiuddin, Shafiq Joty, Chi Xu | https://www.aclweb.org/anthology/D19-1231.pdf |
| 2019 | EMNLP | # optim-sgd, reg-dropout, arch-lstm, arch-bilstm, arch-att, pre-word2vec, pre-glove, pre-elmo, pre-bert, struct-crf, latent-topic, task-tree | 0 | Negative Focus Detection via Contextual Attention Mechanism | Longxiang Shen, Bowei Zou, Yu Hong, Guodong Zhou, Qiaoming Zhu, AiTi Aw | https://www.aclweb.org/anthology/D19-1230.pdf |
| 2019 | EMNLP | # arch-rnn, arch-lstm, arch-att, arch-memo, arch-copy, arch-bilinear, arch-coverage, task-textpair, task-spanlab, task-seq2seq, task-tree | 0 | Knowledge Aware Conversation Generation with Explainable Reasoning over Augmented Graphs | Zhibin Liu, Zheng-Yu Niu, Hua Wu, Haifeng Wang | https://www.aclweb.org/anthology/D19-1187.pdf |
| 2019 | NAA-CL | # reg-dropout, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-memo, arch-coverage, search-beam, pre-glove, nondif-reinforce, latent-vae, task-seq2seq, task-tree | 4 | UHop: An Unrestricted-Hop Relation Extraction Framework for Knowledge-Based Question Answering | Zi-Yuan Chen, Chih-Hung Chang, Yi-Pei Chen, Jijnasa Nayak, Lun-Wei Ku | https://www.aclweb.org/anthology/N19-1031.pdf |
| 2019 | NAA-CL | # reg-dropout, train-mtl, arch-lstm, arch-cnn, arch-att, arch-selfatt, pre-elmo, task-lm, task-tree | 1 | Neural Constituency Parsing of Speech Transcripts | Paria Jamshid Lou, Yufei Wang, Mark Johnson | https://www.aclweb.org/anthology/N19-1282.pdf |
| 2019 | NAA-CL | # reg-dropout, train-augment, arch-rnn, arch-lstm, arch-bilstm, arch-att, search-beam, task-lm, task-seq2seq, task-tree | 19 | Learning to Navigate Unseen Environments: Back Translation with Environmental Dropout | Hao Tan, Licheng Yu, Mohit Bansal | https://www.aclweb.org/anthology/N19-1268.pdf |
| 2019 | NAA-CL | # optim-adam, reg-stopping, train-augment, arch-lstm, arch-att, arch-selfatt, arch-copy, arch-coverage, arch-subword, arch-transformer, search-beam, pre-glove, pre-elmo, task-textpair, task-lm, task-condlm, task-seq2seq, task-tree | 1 | Improved Lexically Constrained Decoding for Translation and Monolingual Rewriting | J. Edward Hu, Huda Khayrallah, Ryan Culkin, Patrick Xia, Tongfei Chen, Matt Post, Benjamin Van Durme | https://www.aclweb.org/anthology/N19-1090.pdf |
| 2019 | NAA-CL | # optim-projection, reg-dropout, train-mll, arch-lstm, adv-train, task-relation, task-tree, task-alignment | 1 | Typological Features for Multilingual Delexicalised Dependency Parsing | Manon Scholivet, Franck Dary, Alexis Nasr, Benoit Favre, Carlos Ramisch | https://www.aclweb.org/anthology/N19-1393.pdf |
| 2019 | NAA-CL | # optim-adam, optim-projection, reg-dropout, train-mll, train-transfer, arch-lstm, arch-bilstm, arch-att, arch-selfatt, comb-ensemble, pre-elmo, pre-bert, struct-crf, task-seqlab, task-lm, task-seq2seq, task-relation, task-tree, task-lexicon, task-alignment | 12 | Cross-lingual Transfer Learning for Multilingual Task Oriented Dialog | Sebastian Schuster, Sonal Gupta, Rushin Shah, Mike Lewis | https://www.aclweb.org/anthology/N19-1380.pdf |
| 2019 | NAA-CL | # optim-adam, optim-projection, reg-dropout, train-mtl, train-transfer, train-parallel, arch-rnn, arch-att, arch-coverage, arch-subword, arch-transformer, task-seq2seq, task-tree | 0 | Understanding and Improving Hidden Representations for Neural Machine Translation | Guanlin Li, Lemao Liu, Xintong Li, Conghui Zhu, Tiejun Zhao, Shuming Shi | https://www.aclweb.org/anthology/N19-1046.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, arch-lstm, arch-bilstm, arch-att, arch-copy, arch-coverage, arch-transformer, pre-bert, task-lm, task-seq2seq, task-tree | 1 | PoMo: Generating Entity-Specific Post-Modifiers in Context | Jun Seok Kang, Robert Logan, Zewei Chu, Yang Chen, Dheeru Dua, Kevin Gimpel, Sameer Singh, Niranjan Balasubramanian | https://www.aclweb.org/anthology/N19-1089.pdf |
| 2019 | NAA-CL | # optim-adam, optim-projection, reg-dropout, train-augment, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-copy, search-beam, task-condlm, task-seq2seq, task-tree | 0 | Context Dependent Semantic Parsing over Temporally Structured Data | Charles Chen, Razvan Bunescu | https://www.aclweb.org/anthology/N19-1360.pdf |
| 2019 | NAA-CL | # reg-dropout, arch-rnn, arch-lstm, arch-coverage, search-beam, task-lm, task-tree | 6 | Structural Supervision Improves Learning of Non-Local Grammatical Dependencies | Ethan Wilcox, Peng Qian, Richard Futrell, Miguel Ballesteros, Roger Levy | https://www.aclweb.org/anthology/N19-1334.pdf |
| 2019 | NAA-CL | # optim-adam, optim-projection, reg-dropout, norm-batch, pool-max, arch-lstm, arch-bilstm, arch-gru, arch-cnn, arch-att, arch-selfatt, arch-memo, pre-glove, nondif-reinforce, task-seq2seq, task-tree | 4 | Bidirectional Attentive Memory Networks for Question Answering over Knowledge Bases | Yu Chen, Lingfei Wu, Mohammed J. Zaki | https://www.aclweb.org/anthology/N19-1299.pdf |
| 2019 | NAA-CL | # init-glorot, reg-dropout, reg-worddropout, arch-cnn, arch-att, arch-coverage, pre-glove, latent-topic, task-textpair, task-seq2seq, task-relation, task-tree | 1 | No Permanent Friends or Enemies: Tracking Relationships between Nations from News | Xiaochuang Han, Eunsol Choi, Chenhao Tan | https://www.aclweb.org/anthology/N19-1167.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-transformer, comb-ensemble, pre-fasttext, task-textclass, task-seq2seq, task-tree | 2 | Semantically-Aligned Equation Generation for Solving and Reasoning Math Word Problems | Ting-Rui Chiang, Yun-Nung Chen | https://www.aclweb.org/anthology/N19-1272.pdf |
| 2019 | NAA-CL | # optim-sgd, optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-gru, arch-att, nondif-reinforce, latent-vae, task-seq2seq, task-tree | 17 | Rethinking Action Spaces for Reinforcement Learning in End-to-end Dialog Agents with Latent Variable Models | Tiancheng Zhao, Kaige Xie, Maxine Eskenazi | https://www.aclweb.org/anthology/N19-1123.pdf |
| 2019 | NAA-CL | # train-mtl, train-mll, train-transfer, arch-rnn, arch-gru, arch-att, arch-selfatt, adv-train, task-relation, task-tree | 1 | Robust Semantic Parsing with Adversarial Learning for Domain Generalization | Gabriel Marzinotto, Géraldine Damnati, Frédéric Béchet, Benoît Favre | https://www.aclweb.org/anthology/N19-2021.pdf |
| 2019 | NAA-CL | # optim-adam, init-glorot, reg-dropout, train-augment, arch-lstm, arch-att, arch-coverage, comb-ensemble, search-beam, task-seq2seq, task-tree | 1 | Iterative Search for Weakly Supervised Semantic Parsing | Pradeep Dasigi, Matt Gardner, Shikhar Murty, Luke Zettlemoyer, Eduard Hovy | https://www.aclweb.org/anthology/N19-1273.pdf |
| 2019 | NAA-CL | # reg-dropout, arch-rnn, arch-lstm, arch-att, arch-coverage, search-beam, pre-glove, struct-crf, task-textpair, task-seq2seq, task-tree | 1 | Open Information Extraction from Question-Answer Pairs | Nikita Bhutani, Yoshihiko Suhara, Wang-Chiew Tan, Alon Halevy, H. V. Jagadish | https://www.aclweb.org/anthology/N19-1239.pdf |
| 2019 | NAA-CL | # arch-rnn, arch-lstm, arch-bilstm, arch-treelstm, arch-att, arch-coverage, arch-transformer, pre-word2vec, pre-elmo, pre-bert, pre-use, task-textpair, task-seq2seq, task-tree | 4 | Evaluating Coherence in Dialogue Systems using Entailment | Nouha Dziri, Ehsan Kamalloo, Kory Mathewson, Osmar Zaiane | https://www.aclweb.org/anthology/N19-1381.pdf |
| 2019 | NAA-CL | # optim-sgd, optim-projection, init-glorot, reg-dropout, reg-stopping, arch-rnn, arch-birnn, arch-lstm, arch-gnn, arch-cnn, arch-att, arch-selfatt, arch-copy, arch-coverage, arch-transformer, search-beam, struct-crf, task-seqlab, task-lm, task-tree, task-graph | 8 | Text Generation from Knowledge Graphs with Graph Transformers | Rik Koncel-Kedziorski, Dhanush Bekal, Yi Luan, Mirella Lapata, Hannaneh Hajishirzi | https://www.aclweb.org/anthology/N19-1238.pdf |
| 2019 | NAA-CL | # arch-rnn, arch-lstm, arch-bilstm, arch-memo, task-spanlab, task-lm, task-tree | 0 | FreebaseQA: A New Factoid QA Data Set Matching Trivia-Style Question-Answer Pairs with Freebase | Kelvin Jiang, Dekun Wu, Hui Jiang | https://www.aclweb.org/anthology/N19-1028.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, arch-lstm, arch-att, arch-copy, arch-coverage, task-lm, task-seq2seq, task-tree, task-graph | 3 | Neural Text Generation from Rich Semantic Representations | Valerie Hajdik, Jan Buys, Michael Wayne Goodman, Emily M. Bender | https://www.aclweb.org/anthology/N19-1235.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-bilinear, pre-glove, pre-elmo, pre-bert, task-relation, task-tree | 0 | Decomposed Local Models for Coordinate Structure Parsing | Hiroki Teranishi, Hiroyuki Shindo, Yuji Matsumoto | https://www.aclweb.org/anthology/N19-1343.pdf |
| 2019 | NAA-CL | # optim-adam, arch-att, search-viterbi, task-tree, task-graph | 3 | The problem with probabilistic DAG automata for semantic graphs | Ieva Vasiljeva, Sorcha Gilroy, Adam Lopez | https://www.aclweb.org/anthology/N19-1096.pdf |
| 2019 | NAA-CL | # optim-adam, init-glorot, reg-stopping, train-mtl, pool-mean, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-coverage, search-viterbi, pre-glove, struct-crf, task-relation, task-tree, task-alignment | 2 | Target-oriented Opinion Words Extraction with Target-fused Neural Sequence Labeling | Zhifang Fan, Zhen Wu, Xin-Yu Dai, Shujian Huang, Jiajun Chen | https://www.aclweb.org/anthology/N19-1259.pdf |
| 2019 | NAA-CL | # optim-adam, optim-adagrad, arch-lstm, arch-att, arch-coverage, search-beam, task-extractive, task-seq2seq, task-tree | 4 | Question Answering as an Automatic Evaluation Metric for News Article Summarization | Matan Eyal, Tal Baumel, Michael Elhadad | https://www.aclweb.org/anthology/N19-1395.pdf |
| 2019 | NAA-CL | # arch-lstm, arch-att, arch-coverage, pre-fasttext, pre-glove, pre-elmo, pre-use, task-textclass, task-relation, task-tree | 0 | Outlier Detection for Improved Data Quality and Diversity in Dialog Systems | Stefan Larson, Anish Mahendran, Andrew Lee, Jonathan K. Kummerfeld, Parker Hill, Michael A. Laurenzano, Johann Hauswald, Lingjia Tang, Jason Mars | https://www.aclweb.org/anthology/N19-1051.pdf |
| 2019 | NAA-CL | # reg-dropout, arch-lstm, arch-bilstm, arch-att, arch-bilinear, pre-glove, task-textpair, task-seqlab, task-tree | 2 | Imposing Label-Relational Inductive Bias for Extremely Fine-Grained Entity Typing | Wenhan Xiong, Jiawei Wu, Deren Lei, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang | https://www.aclweb.org/anthology/N19-1084.pdf |
| 2019 | NAA-CL | # optim-projection, train-mll, arch-lstm, arch-coverage, task-relation, task-tree, task-graph, task-alignment | 0 | Cross-lingual CCG Induction | Kilian Evang | https://www.aclweb.org/anthology/N19-1160.pdf |
| 2019 | NAA-CL | # optim-adam, reg-stopping, reg-patience, arch-rnn, arch-gru, arch-att, task-textclass, task-seq2seq, task-tree | 4 | Inferring Which Medical Treatments Work from Reports of Clinical Trials | Eric Lehman, Jay DeYoung, Regina Barzilay, Byron C. Wallace | https://www.aclweb.org/anthology/N19-1371.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, norm-layer, train-augment, arch-lstm, arch-att, arch-copy, arch-coverage, search-beam, pre-word2vec, task-seq2seq, task-tree, task-graph | 2 | Factorising AMR generation through syntax | Kris Cao, Stephen Clark | https://www.aclweb.org/anthology/N19-1223.pdf |
| 2019 | NAA-CL | # reg-dropout, reg-decay, train-mtl, arch-rnn, arch-att, arch-selfatt, arch-copy, arch-transformer, comb-ensemble, pre-glove, pre-elmo, pre-bert, task-lm, task-seq2seq, task-tree | 20 | Improving Grammatical Error Correction via Pre-Training a Copy-Augmented Architecture with Unlabeled Data | Wei Zhao, Liang Wang, Kewei Shen, Ruoyu Jia, Jingming Liu | https://www.aclweb.org/anthology/N19-1014.pdf |
| 2019 | NAA-CL | # optim-adam, arch-memo, task-tree | 4 | ComQA: A Community-sourced Dataset for Complex Factoid Question Answering with Paraphrase Clusters | Abdalghani Abujabal, Rishiraj Saha Roy, Mohamed Yahya, Gerhard Weikum | https://www.aclweb.org/anthology/N19-1027.pdf |
| 2019 | NAA-CL | # train-mll, task-tree | 0 | Improving Knowledge Base Construction from Robust Infobox Extraction | Boya Peng, Yejin Huh, Xiao Ling, Michele Banko | https://www.aclweb.org/anthology/N19-2018.pdf |
| 2019 | NAA-CL | # arch-coverage, search-beam, struct-cfg, task-tree | 1 | Implementation of a Chomsky-Schützenberger n-best parser for weighted multiple context-free grammars | Thomas Ruprecht, Tobias Denkinger | https://www.aclweb.org/anthology/N19-1016.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, reg-worddropout, norm-layer, arch-rnn, arch-lstm, arch-att, pre-glove, nondif-reinforce, latent-vae, task-lm, task-condlm, task-seq2seq, task-tree | 4 | SEQˆ3: Differentiable Sequence-to-Sequence-to-Sequence Autoencoder for Unsupervised Abstractive Sentence Compression | Christos Baziotis, Ion Androutsopoulos, Ioannis Konstas, Alexandros Potamianos | https://www.aclweb.org/anthology/N19-1071.pdf |