| Year | Conf. | Topic | Cited | Paper | Authors | Url |
|---|---|---|---|---|---|---|
| 2019 | ACL | # optim-adam, reg-dropout, train-mtl, train-mll, pool-max, pool-mean, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-coverage, pre-glove, pre-skipthought, pre-elmo, pre-bert, adv-train, task-textpair, task-lm, task-cloze, task-relation | 2 | DisSent: Learning Sentence Representations from Explicit Discourse Relations | Allen Nie, Erin Bennett, Noah Goodman | https://www.aclweb.org/anthology/P19-1442.pdf |
| 2019 | ACL | # optim-adam, optim-projection, reg-dropout, pool-max, pool-mean, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-transformer, pre-bert, struct-crf, task-seq2seq | 1 | Dense Procedure Captioning in Narrated Instructional Videos | Botian Shi, Lei Ji, Yaobo Liang, Nan Duan, Peng Chen, Zhendong Niu, Ming Zhou | https://www.aclweb.org/anthology/P19-1641.pdf |
| 2019 | ACL | # optim-adam, pool-max, pool-mean, arch-lstm, arch-bilstm, arch-att, arch-selfatt, pre-glove, task-textpair | 0 | Predicting Human Activities from User-Generated Content | Steven Wilson, Rada Mihalcea | https://www.aclweb.org/anthology/P19-1245.pdf |
| 2019 | ACL | # optim-adagrad, reg-dropout, train-mll, pool-mean, arch-gnn, arch-att, arch-selfatt, arch-subword, loss-triplet | 7 | Multi-Channel Graph Neural Network for Entity Alignment | Yixin Cao, Zhiyuan Liu, Chengjiang Li, Zhiyuan Liu, Juanzi Li, Tat-Seng Chua | https://www.aclweb.org/anthology/P19-1140.pdf |
| 2019 | ACL | # optim-adam, init-glorot, pool-mean, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-memo, pre-glove, loss-nce, task-seq2seq | 0 | Joint Effects of Context and User History for Predicting Online Conversation Re-entries | Xingshan Zeng, Jing Li, Lu Wang, Kam-Fai Wong | https://www.aclweb.org/anthology/P19-1270.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, norm-batch, norm-gradient, train-transfer, pool-mean, arch-lstm, arch-bilstm, arch-att, arch-memo, comb-ensemble, pre-elmo, loss-cca, task-lm, task-seq2seq, task-alignment | 1 | Multimodal and Multi-view Models for Emotion Recognition | Gustavo Aguilar, Viktor Rozgic, Weiran Wang, Chao Wang | https://www.aclweb.org/anthology/P19-1095.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, activ-relu, pool-max, pool-mean, arch-cnn, pre-glove, task-textclass, task-lm, task-seq2seq | 4 | MOROCO: The Moldavian and Romanian Dialectal Corpus | Andrei Butnaru, Radu Tudor Ionescu | https://www.aclweb.org/anthology/P19-1068.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, pool-mean, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-gnn, arch-att, arch-selfatt, arch-memo, arch-bilinear, comb-ensemble, pre-glove, task-textclass, task-condlm, task-seq2seq | 10 | Multi-step Reasoning via Recurrent Dual Attention for Visual Dialog | Zhe Gan, Yu Cheng, Ahmed Kholy, Linjie Li, Jingjing Liu, Jianfeng Gao | https://www.aclweb.org/anthology/P19-1648.pdf |
| 2019 | ACL | # reg-dropout, pool-mean, arch-lstm, arch-bilstm, arch-att, arch-subword, latent-topic, task-textclass | 0 | Topic Tensor Network for Implicit Discourse Relation Recognition in Chinese | Sheng Xu, Peifeng Li, Fang Kong, Qiaoming Zhu, Guodong Zhou | https://www.aclweb.org/anthology/P19-1058.pdf |
| 2019 | ACL | # optim-adam, optim-projection, pool-mean, arch-coverage, arch-subword, pre-elmo, pre-bert, task-lm, task-seq2seq | 2 | Entity-Centric Contextual Affective Analysis | Anjalie Field, Yulia Tsvetkov | https://www.aclweb.org/anthology/P19-1243.pdf |
| 2019 | ACL | # init-glorot, pool-mean, arch-lstm, arch-bilstm, arch-att, arch-coverage, pre-glove, pre-elmo, task-relation | 0 | Embedding Time Expressions for Deep Temporal Ordering Models | Tanya Goyal, Greg Durrett | https://www.aclweb.org/anthology/P19-1433.pdf |
| 2019 | ACL | # reg-dropout, norm-layer, pool-mean, arch-rnn, arch-lstm, arch-gru, arch-att, arch-selfatt, arch-memo, arch-subword, arch-transformer, search-beam, adv-train, task-seq2seq | 0 | Reference Network for Neural Machine Translation | Han Fu, Chenghao Liu, Jianling Sun | https://www.aclweb.org/anthology/P19-1287.pdf |
| 2019 | ACL | # optim-adam, init-glorot, reg-dropout, norm-gradient, train-mtl, train-mll, pool-max, pool-mean, arch-rnn, arch-birnn, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-selfatt, search-beam, search-viterbi, pre-glove, pre-bert, struct-crf, task-seqlab, task-lm | 3 | GCDT: A Global Context Enhanced Deep Transition Architecture for Sequence Labeling | Yijin Liu, Fandong Meng, Jinchao Zhang, Jinan Xu, Yufeng Chen, Jie Zhou | https://www.aclweb.org/anthology/P19-1233.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, activ-relu, pool-mean, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-bilinear, arch-transformer, pre-word2vec, pre-glove, pre-bert, task-spanlab | 0 | Open-Domain Why-Question Answering with Adversarial Learning to Encode Answer Texts | Jong-Hoon Oh, Kazuma Kadowaki, Julien Kloetzer, Ryu Iida, Kentaro Torisawa | https://www.aclweb.org/anthology/P19-1414.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-adam, reg-dropout, pool-max, pool-mean, arch-rnn, arch-lstm, arch-gnn, arch-cnn, arch-att, arch-selfatt, arch-copy, latent-topic, task-textclass, task-seqlab, task-seq2seq, task-graph | 2 | Coherent Comments Generation for Chinese Articles with a Graph-to-Sequence Model | Wei Li, Jingjing Xu, Yancheng He, ShengLi Yan, Yunfang Wu, Xu Sun | https://www.aclweb.org/anthology/P19-1479.pdf |
| 2019 | ACL | # train-mll, train-transfer, pool-max, pool-mean, arch-rnn, arch-cnn, arch-att, arch-selfatt, arch-subword, task-textclass, task-seq2seq | 4 | Exploiting Sentential Context for Neural Machine Translation | Xing Wang, Zhaopeng Tu, Longyue Wang, Shuming Shi | https://www.aclweb.org/anthology/P19-1624.pdf |
| 2019 | ACL | # optim-adam, init-glorot, train-mtl, train-mll, pool-mean, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, pre-word2vec, adv-train | 2 | Adversarial Attention Modeling for Multi-dimensional Emotion Regression | Suyang Zhu, Shoushan Li, Guodong Zhou | https://www.aclweb.org/anthology/P19-1045.pdf |
| 2019 | ACL | # optim-adam, init-glorot, reg-dropout, norm-batch, pool-mean, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-coverage, pre-elmo, pre-bert, latent-vae, latent-topic, task-lm | 1 | Open Domain Event Extraction Using Neural Latent Variable Models | Xiao Liu, Heyan Huang, Yue Zhang | https://www.aclweb.org/anthology/P19-1276.pdf |
| 2019 | ACL | # optim-adam, reg-stopping, pool-max, pool-mean, arch-lstm, arch-bilstm, arch-att, pre-glove, latent-vae, loss-nce, task-seqlab | 0 | Distant Learning for Entity Linking with Automatic Noise Detection | Phong Le, Ivan Titov | https://www.aclweb.org/anthology/P19-1400.pdf |
| 2019 | ACL | # train-mtl, pool-mean, arch-rnn, arch-lstm, arch-att, arch-transformer, pre-word2vec, pre-glove, pre-bert, task-textclass, task-textpair, task-extractive, task-seq2seq | 3 | Searching for Effective Neural Extractive Summarization: What Works and What’s Next | Ming Zhong, Pengfei Liu, Danqing Wang, Xipeng Qiu, Xuanjing Huang | https://www.aclweb.org/anthology/P19-1100.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-sgd, reg-dropout, pool-max, pool-mean, arch-lstm, arch-bilstm, arch-cnn, arch-att, pre-bert, struct-crf, task-spanlab, task-lm | 0 | Eliciting Knowledge from Experts: Automatic Transcript Parsing for Cognitive Task Analysis | Junyi Du, He Jiang, Jiaming Shen, Xiang Ren | https://www.aclweb.org/anthology/P19-1420.pdf |
| 2019 | ACL | # optim-sgd, optim-adam, reg-dropout, pool-max, pool-mean, arch-rnn, arch-lstm, arch-bilstm, arch-gnn, arch-cnn, arch-att, arch-memo, pre-glove, task-textpair | 1 | Multi-Level Matching and Aggregation Network for Few-Shot Relation Classification | Zhi-Xiu Ye, Zhen-Hua Ling | https://www.aclweb.org/anthology/P19-1277.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-transfer, train-active, pool-max, pool-mean, arch-rnn, arch-lstm, arch-gru, arch-bigru, arch-gating, arch-subword, pre-fasttext, pre-glove, task-lm, task-seq2seq | 1 | Low-resource Deep Entity Resolution with Transfer and Active Learning | Jungo Kasai, Kun Qian, Sairam Gurajada, Yunyao Li, Lucian Popa | https://www.aclweb.org/anthology/P19-1586.pdf |
| 2019 | EMNLP | # optim-adam, pool-mean, arch-lstm, arch-att, arch-subword, pre-fasttext, task-textpair, task-condlm, task-seq2seq | 0 | YouMakeup: A Large-Scale Domain-Specific Multimodal Dataset for Fine-Grained Semantic Comprehension | Weiying Wang, Yongcheng Wang, Shizhe Chen, Qin Jin | https://www.aclweb.org/anthology/D19-1517.pdf |
| 2019 | EMNLP | # optim-adam, pool-mean, arch-rnn, arch-lstm, arch-att, search-greedy, search-beam, pre-use | 0 | Bias and Fairness in Natural Language Processing | Kai-Wei Chang, Vinod Prabhakaran, Vicente Ordonez | https://www.aclweb.org/anthology/D19-1682.pdf |
| 2019 | EMNLP | # optim-adam, reg-norm, pool-max, pool-mean, arch-lstm, task-textclass | 0 | Out-of-Domain Detection for Low-Resource Text Classification Tasks | Ming Tan, Yang Yu, Haoyu Wang, Dakuo Wang, Saloni Potdar, Shiyu Chang, Mo Yu | https://www.aclweb.org/anthology/D19-1364.pdf |
| 2019 | EMNLP | # optim-adam, pool-mean, arch-rnn, arch-lstm, arch-att, search-greedy, search-beam, pre-use | 74 | Semantic Specialization of Distributional Word Vectors | Goran Glavaś, Edoardo Maria Ponti, Ivan Vulić | https://www.aclweb.org/anthology/D19-1682.pdf |
| 2019 | EMNLP | # optim-adam, reg-decay, norm-layer, train-mll, pool-mean, arch-att, arch-selfatt, arch-transformer, comb-ensemble, pre-bert, task-spanlab, task-lm, task-seq2seq | 0 | Cross-Lingual Machine Reading Comprehension | Yiming Cui, Wanxiang Che, Ting Liu, Bing Qin, Shijin Wang, Guoping Hu | https://www.aclweb.org/anthology/D19-1169.pdf |
| 2019 | EMNLP | # optim-adam, pool-mean, arch-rnn, arch-lstm, arch-att, search-greedy, search-beam, pre-use | 0 | Context-Aware Conversation Thread Detection in Multi-Party Chat | Ming Tan, Dakuo Wang, Yupeng Gao, Haoyu Wang, Saloni Potdar, Xiaoxiao Guo, Shiyu Chang, Mo Yu | https://www.aclweb.org/anthology/D19-1682.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, train-mll, train-transfer, pool-mean, arch-att, arch-transformer, pre-fasttext, pre-bert, loss-cca, task-spanlab, task-lm, task-seq2seq, task-lexicon | 0 | Zero-shot Reading Comprehension by Cross-lingual Transfer Learning with Multi-lingual Language Representation Model | Tsung-Yuan Hsu, Chi-Liang Liu, Hung-yi Lee | https://www.aclweb.org/anthology/D19-1607.pdf |
| 2019 | EMNLP | # optim-adam, pool-mean, arch-rnn, arch-lstm, arch-att, search-greedy, search-beam, pre-use | 1 | , abs | https://www.aclweb.org/anthology/D19-1682.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 | # optim-adam, pool-mean, arch-rnn, arch-lstm, arch-att, search-greedy, search-beam, pre-use | 0 | Dive into Deep Learning for Natural Language Processing | Haibin Lin, Xingjian Shi, Leonard Lausen, Aston Zhang, He He, Sheng Zha, Alexander Smola | https://www.aclweb.org/anthology/D19-1682.pdf |
| 2019 | EMNLP | # optim-adam, train-augment, pool-max, pool-mean, arch-cnn, arch-att, arch-selfatt, arch-memo, latent-vae, task-textclass, meta-init | 0 | Tackling Long-Tailed Relations and Uncommon Entities in Knowledge Graph Completion | Zihao Wang, Kwunping Lai, Piji Li, Lidong Bing, Wai Lam | https://www.aclweb.org/anthology/D19-1024.pdf |
| 2019 | EMNLP | # optim-sgd, reg-dropout, pool-mean, arch-lstm, arch-bilstm, arch-att, arch-coverage, arch-subword, pre-fasttext, pre-glove, pre-elmo, pre-bert, task-textpair, task-lm | 1 | Incorporating Domain Knowledge into Medical NLI using Knowledge Graphs | Soumya Sharma, Bishal Santra, Abhik Jana, Santosh Tokala, Niloy Ganguly, Pawan Goyal | https://www.aclweb.org/anthology/D19-1631.pdf |
| 2019 | EMNLP | # optim-adam, init-glorot, reg-dropout, norm-gradient, train-transfer, pool-max, pool-mean, arch-rnn, arch-birnn, arch-lstm, arch-bilstm, arch-gru, arch-cnn, arch-att, arch-selfatt, arch-memo, search-viterbi, pre-glove, pre-bert, struct-crf, task-seqlab, task-lm, task-seq2seq | 0 | CM-Net: A Novel Collaborative Memory Network for Spoken Language Understanding | Yijin Liu, Fandong Meng, Jinchao Zhang, Jie Zhou, Yufeng Chen, Jinan Xu | https://www.aclweb.org/anthology/D19-1097.pdf |
| 2019 | EMNLP | # optim-adam, pool-mean, arch-rnn, arch-lstm, arch-att, search-greedy, search-beam, pre-use | 0 | Data Collection and End-to-End Learning for Conversational AI | Tsung-Hsien Wen, Pei-Hao Su, Paweł Budzianowski, Iñigo Casanueva, Ivan Vulić | https://www.aclweb.org/anthology/D19-1682.pdf |
| 2019 | EMNLP | # optim-adam, init-glorot, reg-dropout, pool-max, pool-mean, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, comb-ensemble, pre-bert, task-textpair, task-lm | 0 | Original Semantics-Oriented Attention and Deep Fusion Network for Sentence Matching | Mingtong Liu, Yujie Zhang, Jinan Xu, Yufeng Chen | https://www.aclweb.org/anthology/D19-1267.pdf |
| 2019 | EMNLP | # optim-adam, optim-adagrad, norm-layer, pool-mean, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-transformer, search-beam, pre-glove, pre-paravec, adv-train, latent-topic, task-textpair, task-extractive, task-spanlab, task-lm, task-condlm, task-seq2seq | 0 | Topic-Guided Coherence Modeling for Sentence Ordering by Preserving Global and Local Information | Byungkook Oh, Seungmin Seo, Cheolheon Shin, Eunju Jo, Kyong-Ho Lee | https://www.aclweb.org/anthology/D19-1232.pdf |
| 2019 | EMNLP | # optim-adam, pool-mean, arch-rnn, arch-lstm, arch-att, search-greedy, search-beam, pre-use | 1 | , abs | https://www.aclweb.org/anthology/D19-1682.pdf | |
| 2019 | EMNLP | # optim-adam, reg-dropout, pool-mean, arch-rnn, arch-lstm, arch-att, arch-coverage, arch-subword, nondif-reinforce, latent-vae, task-extractive, task-condlm, task-seq2seq | 0 | Select and Attend: Towards Controllable Content Selection in Text Generation | Xiaoyu Shen, Jun Suzuki, Kentaro Inui, Hui Su, Dietrich Klakow, Satoshi Sekine | https://www.aclweb.org/anthology/D19-1054.pdf |
| 2019 | EMNLP | # optim-adam, pool-mean, arch-rnn, arch-lstm, arch-att, search-greedy, search-beam, pre-use | 0 | Discreteness in Neural Natural Language Processing | Lili Mou, Hao Zhou, Lei Li | https://www.aclweb.org/anthology/D19-1682.pdf |
| 2019 | EMNLP | # optim-adam, pool-mean, arch-rnn, arch-lstm, arch-att, search-greedy, search-beam, pre-use | 49 | bib (full) | https://www.aclweb.org/anthology/D19-1682.pdf | |
| 2019 | EMNLP | # optim-adam, pool-mean, arch-rnn, arch-lstm, arch-att, search-greedy, search-beam, pre-use | 0 | Processing and Understanding Mixed Language Data | Monojit Choudhury, Anirudh Srinivasan, Sandipan Dandapat | https://www.aclweb.org/anthology/D19-1682.pdf |
| 2019 | EMNLP | # optim-adam, pool-mean, arch-lstm, arch-bilstm, pre-glove, struct-crf | 0 | Neural Conversation Recommendation with Online Interaction Modeling | Xingshan Zeng, Jing Li, Lu Wang, Kam-Fai Wong | https://www.aclweb.org/anthology/D19-1470.pdf |
| 2019 | EMNLP | # optim-adam, pool-max, pool-mean, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-memo, pre-word2vec, task-alignment | 0 | Multi-hop Selector Network for Multi-turn Response Selection in Retrieval-based Chatbots | Chunyuan Yuan, Wei Zhou, Mingming Li, Shangwen Lv, Fuqing Zhu, Jizhong Han, Songlin Hu | https://www.aclweb.org/anthology/D19-1011.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, norm-layer, pool-max, pool-mean, arch-lstm, arch-bilstm, arch-att, arch-coverage, comb-ensemble, pre-fasttext, pre-glove, task-textpair, task-condlm | 0 | Asynchronous Deep Interaction Network for Natural Language Inference | Di Liang, Fubao Zhang, Qi Zhang, Xuanjing Huang | https://www.aclweb.org/anthology/D19-1271.pdf |
| 2019 | EMNLP | # optim-adam, pool-mean, arch-rnn, arch-lstm, arch-att, search-greedy, search-beam, pre-use | 1 | , abs | https://www.aclweb.org/anthology/D19-1682.pdf | |
| 2019 | EMNLP | # optim-adadelta, reg-dropout, pool-mean, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, task-relation | 0 | Event Detection with Multi-Order Graph Convolution and Aggregated Attention | Haoran Yan, Xiaolong Jin, Xiangbin Meng, Jiafeng Guo, Xueqi Cheng | https://www.aclweb.org/anthology/D19-1582.pdf |
| 2019 | EMNLP | # optim-adam, pool-mean, arch-rnn, arch-lstm, arch-att, search-greedy, search-beam, pre-use | 1 | , abs | https://www.aclweb.org/anthology/D19-1682.pdf | |
| 2019 | EMNLP | # optim-adadelta, reg-stopping, pool-max, pool-mean, arch-rnn, arch-lstm, arch-gru, arch-cnn, arch-att, arch-selfatt, arch-transformer, pre-word2vec, pre-fasttext, pre-glove, pre-bert, task-textclass, task-seq2seq | 0 | Enhancing Local Feature Extraction with Global Representation for Neural Text Classification | Guocheng Niu, Hengru Xu, Bolei He, Xinyan Xiao, Hua Wu, Sheng Gao | https://www.aclweb.org/anthology/D19-1047.pdf |
| 2019 | EMNLP | # optim-adam, init-glorot, norm-gradient, pool-mean, arch-rnn, arch-gru, arch-att, arch-coverage, search-beam, adv-train, latent-vae, task-seq2seq | 0 | Long and Diverse Text Generation with Planning-based Hierarchical Variational Model | Zhihong Shao, Minlie Huang, Jiangtao Wen, Wenfei Xu, Xiaoyan Zhu | https://www.aclweb.org/anthology/D19-1321.pdf |
| 2019 | EMNLP | # optim-adam, pool-mean, arch-rnn, arch-lstm, arch-att, search-greedy, search-beam, pre-use | 1 | , abs | https://www.aclweb.org/anthology/D19-1682.pdf | |
| 2019 | EMNLP | # reg-dropout, pool-mean, arch-lstm, arch-att, arch-selfatt, arch-copy, task-seq2seq | 0 | Table-to-Text Generation with Effective Hierarchical Encoder on Three Dimensions (Row, Column and Time) | Heng Gong, Xiaocheng Feng, Bing Qin, Ting Liu | https://www.aclweb.org/anthology/D19-1310.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, norm-batch, pool-mean, arch-rnn, arch-cnn | 0 | Honkling: In-Browser Personalization for Ubiquitous Keyword Spotting | Jaejun Lee, Raphael Tang, Jimmy Lin | https://www.aclweb.org/anthology/D19-3016.pdf |
| 2019 | EMNLP | # optim-adam, norm-layer, pool-max, pool-mean, arch-rnn, arch-lstm, arch-gru, arch-cnn, arch-att, arch-selfatt, arch-memo, arch-transformer, pre-glove, pre-bert, latent-topic, task-lm, task-seq2seq | 1 | Knowledge-Enriched Transformer for Emotion Detection in Textual Conversations | Peixiang Zhong, Di Wang, Chunyan Miao | https://www.aclweb.org/anthology/D19-1016.pdf |
| 2019 | EMNLP | # init-glorot, train-transfer, pool-mean, arch-gru, arch-att, pre-bert, task-seq2seq | 0 | WSLLN:Weakly Supervised Natural Language Localization Networks | Mingfei Gao, Larry Davis, Richard Socher, Caiming Xiong | https://www.aclweb.org/anthology/D19-1157.pdf |
| 2019 | EMNLP | # optim-adam, pool-mean, arch-lstm, arch-cnn, arch-att, task-seq2seq, task-alignment | 0 | A Deep Neural Information Fusion Architecture for Textual Network Embeddings | Zenan Xu, Qinliang Su, Xiaojun Quan, Weijia Zhang | https://www.aclweb.org/anthology/D19-1476.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, 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 | # optim-adam, pool-mean, arch-rnn, arch-lstm, arch-att, search-greedy, search-beam, pre-use | 0 | Graph-based Deep Learning in Natural Language Processing | Shikhar Vashishth, Naganand Yadati, Partha Talukdar | https://www.aclweb.org/anthology/D19-1682.pdf |
| 2019 | EMNLP | # optim-adam, pool-mean, arch-rnn, arch-lstm, arch-att, search-greedy, search-beam, pre-use | 1 | , abs | https://www.aclweb.org/anthology/D19-1682.pdf | |
| 2019 | EMNLP | # optim-adam, train-mtl, pool-mean, arch-lstm, arch-bilstm, arch-att, arch-selfatt, pre-glove, pre-bert, loss-nce, task-textpair, task-lm | 4 | KagNet: Knowledge-Aware Graph Networks for Commonsense Reasoning | Bill Yuchen Lin, Xinyue Chen, Jamin Chen, Xiang Ren | https://www.aclweb.org/anthology/D19-1282.pdf |
| 2019 | EMNLP | # optim-adam, pool-mean, arch-rnn, arch-gru, arch-att, pre-glove, latent-vae, task-textpair, task-seq2seq | 0 | Modeling Event Background for If-Then Commonsense Reasoning Using Context-aware Variational Autoencoder | Li Du, Xiao Ding, Ting Liu, Zhongyang Li | https://www.aclweb.org/anthology/D19-1270.pdf |
| 2019 | EMNLP | # optim-adam, pool-mean, arch-rnn, arch-lstm, arch-att, search-greedy, search-beam, pre-use | 1 | , abs | https://www.aclweb.org/anthology/D19-1682.pdf | |
| 2019 | EMNLP | # optim-adam, pool-mean, arch-rnn, arch-lstm, pre-glove, task-seqlab, task-seq2seq | 0 | Extracting Possessions from Social Media: Images Complement Language | Dhivya Chinnappa, Srikala Murugan, Eduardo Blanco | https://www.aclweb.org/anthology/D19-1061.pdf |
| 2019 | EMNLP | # optim-projection, reg-dropout, norm-layer, pool-mean, arch-rnn, arch-att, arch-selfatt, arch-subword, arch-transformer, pre-bert, task-textclass, task-textpair | 0 | Learning Invariant Representations of Social Media Users | Nicholas Andrews, Marcus Bishop | https://www.aclweb.org/anthology/D19-1178.pdf |
| 2019 | EMNLP | # optim-sgd, optim-adam, reg-dropout, train-mtl, pool-max, pool-mean, arch-rnn, arch-lstm, arch-gru, arch-bigru, arch-att, arch-coverage, pre-word2vec, latent-topic, task-spanlab, task-seq2seq | 0 | A Neural Citation Count Prediction Model based on Peer Review Text | Siqing Li, Wayne Xin Zhao, Eddy Jing Yin, Ji-Rong Wen | https://www.aclweb.org/anthology/D19-1497.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 | NAA-CL | # pool-mean, arch-lstm, arch-cnn, arch-att, arch-selfatt, comb-ensemble, pre-fasttext, pre-glove, struct-crf, loss-cca, loss-margin, task-textclass | 1 | Ranking-Based Autoencoder for Extreme Multi-label Classification | Bingyu Wang, Li Chen, Wei Sun, Kechen Qin, Kefeng Li, Hui Zhou | https://www.aclweb.org/anthology/N19-1289.pdf |
| 2019 | NAA-CL | # optim-sgd, reg-dropout, reg-worddropout, reg-patience, pool-max, pool-mean, arch-rnn, arch-lstm, arch-bilstm, arch-subword, pre-elmo, pre-bert, struct-crf, task-seqlab, task-lm | 27 | Pooled Contextualized Embeddings for Named Entity Recognition | Alan Akbik, Tanja Bergmann, Roland Vollgraf | https://www.aclweb.org/anthology/N19-1078.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-projection, train-transfer, pool-max, pool-mean, arch-lstm, arch-att, arch-memo, arch-bilinear, pre-word2vec, pre-glove, task-textclass, task-seqlab | 1 | Description-Based Zero-shot Fine-Grained Entity Typing | Rasha Obeidat, Xiaoli Fern, Hamed Shahbazi, Prasad Tadepalli | https://www.aclweb.org/anthology/N19-1087.pdf |