| Year | Conf. | Topic | Cited | Paper | Authors | Url |
|---|---|---|---|---|---|---|
| 2019 | ACL | # optim-adam, reg-dropout, adv-train, latent-vae, latent-topic | 0 | Topic Modeling with Wasserstein Autoencoders | Feng Nan, Ran Ding, Ramesh Nallapati, Bing Xiang | https://www.aclweb.org/anthology/P19-1640.pdf |
| 2019 | ACL | # optim-adam, optim-projection, pool-max, arch-cnn, arch-att, arch-transformer, pre-word2vec, latent-topic, task-textclass, task-seq2seq, task-alignment | 1 | Improving Textual Network Embedding with Global Attention via Optimal Transport | Liqun Chen, Guoyin Wang, Chenyang Tao, Dinghan Shen, Pengyu Cheng, Xinyuan Zhang, Wenlin Wang, Yizhe Zhang, Lawrence Carin | https://www.aclweb.org/anthology/P19-1512.pdf |
| 2019 | ACL | # optim-adam, reg-stopping, train-mtl, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-coverage, latent-topic, task-seq2seq | 0 | Inducing Document Structure for Aspect-based Summarization | Lea Frermann, Alexandre Klementiev | https://www.aclweb.org/anthology/P19-1630.pdf |
| 2019 | ACL | # optim-projection, arch-coverage, pre-word2vec, pre-glove, pre-bert, latent-vae, latent-topic, loss-cca, loss-svd, task-textclass | 0 | Word2Sense: Sparse Interpretable Word Embeddings | Abhishek Panigrahi, Harsha Vardhan Simhadri, Chiranjib Bhattacharyya | https://www.aclweb.org/anthology/P19-1570.pdf |
| 2019 | ACL | # arch-recnn, latent-topic, task-textclass | 1 | What Makes a Good Counselor? Learning to Distinguish between High-quality and Low-quality Counseling Conversations | Verónica Pérez-Rosas, Xinyi Wu, Kenneth Resnicow, Rada Mihalcea | https://www.aclweb.org/anthology/P19-1088.pdf |
| 2019 | ACL | # latent-topic | 0 | Why Didn’t You Listen to Me? Comparing User Control of Human-in-the-Loop Topic Models | Varun Kumar, Alison Smith-Renner, Leah Findlater, Kevin Seppi, Jordan Boyd-Graber | https://www.aclweb.org/anthology/P19-1637.pdf |
| 2019 | ACL | # optim-sgd, optim-adam, init-glorot, reg-dropout, arch-lstm, arch-att, arch-memo, pre-word2vec, latent-topic, task-textpair, task-seqlab, task-condlm | 1 | Aspect Sentiment Classification Towards Question-Answering with Reinforced Bidirectional Attention Network | Jingjing Wang, Changlong Sun, Shoushan Li, Xiaozhong Liu, Luo Si, Min Zhang, Guodong Zhou | https://www.aclweb.org/anthology/P19-1345.pdf |
| 2019 | ACL | # optim-adam, optim-projection, arch-lstm, arch-bilstm, arch-gru, arch-cnn, arch-att, pre-glove, pre-elmo, latent-topic, task-textclass | 9 | The Risk of Racial Bias in Hate Speech Detection | Maarten Sap, Dallas Card, Saadia Gabriel, Yejin Choi, Noah A. Smith | https://www.aclweb.org/anthology/P19-1163.pdf |
| 2019 | ACL | # init-glorot, train-transfer, arch-lstm, arch-att, arch-coverage, arch-transformer, pre-glove, pre-elmo, pre-bert, adv-train, latent-topic, task-textclass, task-lm | 1 | Zero-Shot Entity Linking by Reading Entity Descriptions | Lajanugen Logeswaran, Ming-Wei Chang, Kenton Lee, Kristina Toutanova, Jacob Devlin, Honglak Lee | https://www.aclweb.org/anthology/P19-1335.pdf |
| 2019 | ACL | # optim-adam, arch-lstm, arch-bilstm, arch-att, arch-coverage, pre-glove, struct-crf, latent-topic, loss-nce, task-textpair, task-seqlab, task-lm | 1 | Deep Neural Model Inspection and Comparison via Functional Neuron Pathways | James Fiacco, Samridhi Choudhary, Carolyn Rose | https://www.aclweb.org/anthology/P19-1575.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, reg-dropout, reg-stopping, train-mll, train-transfer, arch-lstm, arch-memo, pre-glove, latent-topic, task-lm, task-alignment | 1 | Towards Automating Healthcare Question Answering in a Noisy Multilingual Low-Resource Setting | Jeanne E. Daniel, Willie Brink, Ryan Eloff, Charles Copley | https://www.aclweb.org/anthology/P19-1090.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-mtl, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-transformer, pre-bert, struct-crf, latent-topic, task-seq2seq | 3 | Open-Domain Targeted Sentiment Analysis via Span-Based Extraction and Classification | Minghao Hu, Yuxing Peng, Zhen Huang, Dongsheng Li, Yiwei Lv | https://www.aclweb.org/anthology/P19-1051.pdf |
| 2019 | ACL | # arch-att, arch-coverage, latent-topic | 3 | A Simple Theoretical Model of Importance for Summarization | Maxime Peyrard | https://www.aclweb.org/anthology/P19-1101.pdf |
| 2019 | ACL | # latent-topic, loss-nce | 1 | Automatic Evaluation of Local Topic Quality | Jeffrey Lund, Piper Armstrong, Wilson Fearn, Stephen Cowley, Courtni Byun, Jordan Boyd-Graber, Kevin Seppi | https://www.aclweb.org/anthology/P19-1076.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, arch-lstm, comb-ensemble, pre-glove, latent-topic, task-condlm | 1 | Categorizing and Inferring the Relationship between the Text and Image of Twitter Posts | Alakananda Vempala, Daniel Preoţiuc-Pietro | https://www.aclweb.org/anthology/P19-1272.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, arch-rnn, arch-gru, arch-att, arch-selfatt, arch-transformer, latent-topic, task-seq2seq | 2 | Cross-Modal Commentator: Automatic Machine Commenting Based on Cross-Modal Information | Pengcheng Yang, Zhihan Zhang, Fuli Luo, Lei Li, Chengyang Huang, Xu Sun | https://www.aclweb.org/anthology/P19-1257.pdf |
| 2019 | ACL | # train-transfer, arch-coverage, pre-word2vec, adv-examp, latent-topic, loss-nce, task-textclass, task-textpair | 1 | SherLIiC: A Typed Event-Focused Lexical Inference Benchmark for Evaluating Natural Language Inference | Martin Schmitt, Hinrich Schütze | https://www.aclweb.org/anthology/P19-1086.pdf |
| 2019 | ACL | # optim-adam, arch-cnn, arch-att, latent-topic | 0 | Enhancing Air Quality Prediction with Social Media and Natural Language Processing | Jyun-Yu Jiang, Xue Sun, Wei Wang, Sean Young | https://www.aclweb.org/anthology/P19-1251.pdf |
| 2019 | ACL | # optim-adam, reg-stopping, norm-gradient, arch-rnn, arch-lstm, arch-gru, arch-bigru, arch-att, arch-copy, search-beam, latent-vae, latent-topic, task-textclass, task-seq2seq | 3 | Topic-Aware Neural Keyphrase Generation for Social Media Language | Yue Wang, Jing Li, Hou Pong Chan, Irwin King, Michael R. Lyu, Shuming Shi | https://www.aclweb.org/anthology/P19-1240.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 | # optim-adam, reg-dropout, arch-rnn, arch-gru, arch-att, arch-selfatt, pre-fasttext, latent-topic, task-textclass, task-lm, task-seq2seq | 0 | Fine-Grained Spoiler Detection from Large-Scale Review Corpora | Mengting Wan, Rishabh Misra, Ndapa Nakashole, Julian McAuley | https://www.aclweb.org/anthology/P19-1248.pdf |
| 2019 | ACL | # optim-adam, reg-decay, arch-lstm, arch-att, arch-coverage, comb-ensemble, pre-paravec, latent-topic, task-relation | 0 | Modeling Financial Analysts’ Decision Making via the Pragmatics and Semantics of Earnings Calls | Katherine Keith, Amanda Stent | https://www.aclweb.org/anthology/P19-1047.pdf |
| 2019 | ACL | # optim-adam, latent-vae, latent-topic, loss-nce, task-relation | 1 | Unsupervised Discovery of Gendered Language through Latent-Variable Modeling | Alexander Miserlis Hoyle, Lawrence Wolf-Sonkin, Hanna Wallach, Isabelle Augenstein, Ryan Cotterell | https://www.aclweb.org/anthology/P19-1167.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, activ-tanh, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-memo, arch-bilinear, arch-energy, search-viterbi, struct-crf, latent-topic, task-seqlab, task-lm | 1 | DOER: Dual Cross-Shared RNN for Aspect Term-Polarity Co-Extraction | Huaishao Luo, Tianrui Li, Bing Liu, Junbo Zhang | https://www.aclweb.org/anthology/P19-1056.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-adagrad, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-coverage, latent-topic, task-seq2seq | 2 | BIGPATENT: A Large-Scale Dataset for Abstractive and Coherent Summarization | Eva Sharma, Chen Li, Lu Wang | https://www.aclweb.org/anthology/P19-1212.pdf |
| 2019 | ACL | # optim-projection, train-mll, train-transfer, arch-coverage, arch-subword, struct-crf, adv-train, latent-topic, task-textclass, task-lexicon | 1 | A Resource-Free Evaluation Metric for Cross-Lingual Word Embeddings Based on Graph Modularity | Yoshinari Fujinuma, Jordan Boyd-Graber, Michael J. Paul | https://www.aclweb.org/anthology/P19-1489.pdf |
| 2019 | ACL | # train-mll, arch-lstm, arch-bilstm, arch-coverage, latent-topic, task-textclass, task-lexicon | 3 | Just “OneSeC” for Producing Multilingual Sense-Annotated Data | Bianca Scarlini, Tommaso Pasini, Roberto Navigli | https://www.aclweb.org/anthology/P19-1069.pdf |
| 2019 | ACL | # reg-norm, arch-att, arch-subword, pre-fasttext, pre-glove, latent-vae, latent-topic, task-textclass, task-lm | 0 | Word and Document Embedding with vMF-Mixture Priors on Context Word Vectors | Shoaib Jameel, Steven Schockaert | https://www.aclweb.org/anthology/P19-1321.pdf |
| 2019 | ACL | # optim-adam, train-mll, pre-word2vec, latent-topic, loss-svd, task-lm | 0 | A Wind of Change: Detecting and Evaluating Lexical Semantic Change across Times and Domains | Dominik Schlechtweg, Anna Hätty, Marco Del Tredici, Sabine Schulte im Walde | https://www.aclweb.org/anthology/P19-1072.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 | # latent-topic, loss-svd | 0 | Spatial Aggregation Facilitates Discovery of Spatial Topics | Aniruddha Maiti, Slobodan Vucetic | https://www.aclweb.org/anthology/P19-1025.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, arch-rnn, arch-gru, arch-att, arch-copy, arch-transformer, search-greedy, search-beam, nondif-reinforce, latent-topic, task-condlm, task-seq2seq | 2 | Neural Keyphrase Generation via Reinforcement Learning with Adaptive Rewards | Hou Pong Chan, Wang Chen, Lu Wang, Irwin King | https://www.aclweb.org/anthology/P19-1208.pdf |
| 2019 | ACL | # optim-adam, init-glorot, norm-layer, train-mtl, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-selfatt, arch-transformer, pre-glove, pre-elmo, pre-bert, latent-topic, task-textclass, task-lm, task-seq2seq | 0 | Text Categorization by Learning Predominant Sense of Words as Auxiliary Task | Kazuya Shimura, Jiyi Li, Fumiyo Fukumoto | https://www.aclweb.org/anthology/P19-1105.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, reg-labelsmooth, arch-lstm, arch-cnn, arch-att, arch-coverage, arch-transformer, latent-topic, task-seq2seq | 3 | Generating Summaries with Topic Templates and Structured Convolutional Decoders | Laura Perez-Beltrachini, Yang Liu, Mirella Lapata | https://www.aclweb.org/anthology/P19-1504.pdf |
| 2019 | ACL | # optim-adam, optim-projection, reg-dropout, reg-stopping, reg-patience, train-active, arch-lstm, arch-cnn, arch-att, arch-transformer, pre-glove, pre-bert, struct-cfg, adv-train, latent-vae, latent-topic, task-textclass, task-lm | 1 | Variational Pretraining for Semi-supervised Text Classification | Suchin Gururangan, Tam Dang, Dallas Card, Noah A. Smith | https://www.aclweb.org/anthology/P19-1590.pdf |
| 2019 | ACL | # optim-adam, optim-projection, init-glorot, reg-dropout, reg-stopping, train-mtl, train-transfer, arch-cnn, arch-att, comb-ensemble, adv-train, latent-vae, latent-topic, task-textclass, task-seq2seq | 0 | Semi-supervised Stochastic Multi-Domain Learning using Variational Inference | Yitong Li, Timothy Baldwin, Trevor Cohn | https://www.aclweb.org/anthology/P19-1186.pdf |
| 2019 | ACL | # pre-glove, latent-vae, latent-topic, task-textclass | 0 | Leveraging Meta Information in Short Text Aggregation | He Zhao, Lan Du, Guanfeng Liu, Wray Buntine | https://www.aclweb.org/anthology/P19-1396.pdf |
| 2019 | ACL | # reg-dropout, reg-stopping, train-transfer, arch-lstm, arch-bilstm, arch-att, pre-word2vec, pre-bert, struct-crf, latent-topic, task-seqlab, task-relation | 2 | Neural Aspect and Opinion Term Extraction with Mined Rules as Weak Supervision | Hongliang Dai, Yangqiu Song | https://www.aclweb.org/anthology/P19-1520.pdf |
| 2019 | ACL | # train-transfer, arch-lstm, arch-bilstm, arch-att, pre-elmo, pre-bert, latent-topic, task-lm | 2 | Diachronic Sense Modeling with Deep Contextualized Word Embeddings: An Ecological View | Renfen Hu, Shen Li, Shichen Liang | https://www.aclweb.org/anthology/P19-1379.pdf |
| 2019 | ACL | # arch-att, arch-selfatt, arch-subword, arch-transformer, pre-fasttext, pre-glove, pre-bert, latent-topic, task-lm | 0 | Context-specific Language Modeling for Human Trafficking Detection from Online Advertisements | Saeideh Shahrokh Esfahani, Michael J. Cafarella, Maziyar Baran Pouyan, Gregory DeAngelo, Elena Eneva, Andy E. Fano | https://www.aclweb.org/anthology/P19-1114.pdf |
| 2019 | ACL | # optim-adam, optim-projection, reg-labelsmooth, train-transfer, activ-relu, pool-max, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-coverage, pre-glove, pre-bert, latent-topic, task-textpair, task-lm, task-seq2seq | 2 | Zero-shot Word Sense Disambiguation using Sense Definition Embeddings | Sawan Kumar, Sharmistha Jat, Karan Saxena, Partha Talukdar | https://www.aclweb.org/anthology/P19-1568.pdf |
| 2019 | ACL | # arch-coverage, pre-word2vec, latent-topic, task-seq2seq | 1 | Corpus-based Check-up for Thesaurus | Natalia Loukachevitch | https://www.aclweb.org/anthology/P19-1577.pdf |
| 2019 | ACL | # arch-coverage, pre-word2vec, pre-glove, pre-bert, latent-topic, task-textclass, task-lm, task-graph | 0 | Towards Unsupervised Text Classification Leveraging Experts and Word Embeddings | Zied Haj-Yahia, Adrien Sieg, Léa A. Deleris | https://www.aclweb.org/anthology/P19-1036.pdf |
| 2019 | EMNLP | # arch-att, arch-selfatt, latent-topic, task-lm | 0 | CodeSwitch-Reddit: Exploration of Written Multilingual Discourse in Online Discussion Forums | Ella Rabinovich, Masih Sultani, Suzanne Stevenson | https://www.aclweb.org/anthology/D19-1484.pdf |
| 2019 | EMNLP | # reg-stopping, train-transfer, arch-transformer, latent-topic, task-lm, task-seq2seq, task-relation | 2 | Distributionally Robust Language Modeling | Yonatan Oren, Shiori Sagawa, Tatsunori Hashimoto, Percy Liang | https://www.aclweb.org/anthology/D19-1432.pdf |
| 2019 | EMNLP | # optim-adam, reg-norm, train-mll, train-transfer, arch-rnn, arch-lstm, arch-att, arch-subword, pre-fasttext, pre-glove, pre-bert, latent-topic, task-textclass, task-lm, task-seq2seq, task-lexicon | 0 | Cross-Cultural Transfer Learning for Text Classification | Dor Ringel, Gal Lavee, Ido Guy, Kira Radinsky | https://www.aclweb.org/anthology/D19-1400.pdf |
| 2019 | EMNLP | # optim-adam, arch-rnn, arch-lstm, arch-att, pre-word2vec, pre-fasttext, pre-glove, latent-topic, task-textclass, task-lm | 0 | Latent Suicide Risk Detection on Microblog via Suicide-Oriented Word Embeddings and Layered Attention | Lei Cao, Huijun Zhang, Ling Feng, Zihan Wei, Xin Wang, Ningyun Li, Xiaohao He | https://www.aclweb.org/anthology/D19-1181.pdf |
| 2019 | EMNLP | # optim-adam, latent-topic, task-lm | 0 | Room to Glo: A Systematic Comparison of Semantic Change Detection Approaches with Word Embeddings | Philippa Shoemark, Farhana Ferdousi Liza, Dong Nguyen, Scott Hale, Barbara McGillivray | https://www.aclweb.org/anthology/D19-1007.pdf |
| 2019 | EMNLP | # optim-adam, train-mtl, train-mll, train-transfer, arch-lstm, arch-cnn, arch-att, arch-memo, pre-bert, adv-train, latent-topic, task-lexicon | 1 | Contrastive Language Adaptation for Cross-Lingual Stance Detection | Mitra Mohtarami, James Glass, Preslav Nakov | https://www.aclweb.org/anthology/D19-1452.pdf |
| 2019 | EMNLP | # optim-projection, latent-topic, loss-svd | 0 | Practical Correlated Topic Modeling and Analysis via the Rectified Anchor Word Algorithm | Moontae Lee, Sungjun Cho, David Bindel, David Mimno | https://www.aclweb.org/anthology/D19-1504.pdf |
| 2019 | EMNLP | # optim-adam, latent-topic | 0 | Automatically Inferring Gender Associations from Language | Serina Chang, Kathy McKeown | https://www.aclweb.org/anthology/D19-1579.pdf |
| 2019 | EMNLP | # reg-dropout, reg-worddropout, train-transfer, pool-max, arch-rnn, arch-lstm, arch-gru, arch-bigru, arch-cnn, arch-att, latent-vae, latent-topic, task-textclass, task-lm, task-seq2seq | 0 | A Topic Augmented Text Generation Model: Joint Learning of Semantics and Structural Features | Hongyin Tang, Miao Li, Beihong Jin | https://www.aclweb.org/anthology/D19-1513.pdf |
| 2019 | EMNLP | # optim-adam, train-mll, arch-coverage, arch-subword, arch-transformer, search-greedy, search-beam, latent-topic, task-textclass, task-lm, task-seq2seq, task-lexicon | 0 | Machine Translation With Weakly Paired Documents | Lijun Wu, Jinhua Zhu, Di He, Fei Gao, Tao Qin, Jianhuang Lai, Tie-Yan Liu | https://www.aclweb.org/anthology/D19-1446.pdf |
| 2019 | EMNLP | # train-active, pre-word2vec, latent-topic, loss-svd | 0 | PaRe: A Paper-Reviewer Matching Approach Using a Common Topic Space | Omer Anjum, Hongyu Gong, Suma Bhat, Wen-Mei Hwu, JinJun Xiong | https://www.aclweb.org/anthology/D19-1049.pdf |
| 2019 | EMNLP | # optim-adam, arch-att, arch-coverage, latent-topic | 0 | Interpretable Word Embeddings via Informative Priors | Miriam Hurtado Bodell, Martin Arvidsson, Måns Magnusson | https://www.aclweb.org/anthology/D19-1661.pdf |
| 2019 | EMNLP | # latent-topic, task-textclass | 0 | Evaluating Topic Quality with Posterior Variability | Linzi Xing, Michael J. Paul, Giuseppe Carenini | https://www.aclweb.org/anthology/D19-1349.pdf |
| 2019 | EMNLP | # arch-att, pre-use, latent-vae, latent-topic | 0 | Leveraging Structural and Semantic Correspondence for Attribute-Oriented Aspect Sentiment Discovery | Zhe Zhang, Munindar Singh | https://www.aclweb.org/anthology/D19-1555.pdf |
| 2019 | EMNLP | # optim-projection, arch-rnn, arch-gru, latent-vae, latent-topic, task-seq2seq | 0 | Variational Hierarchical User-based Conversation Model | JinYeong Bak, Alice Oh | https://www.aclweb.org/anthology/D19-1202.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, reg-decay, arch-rnn, arch-lstm, arch-gru, arch-att, arch-memo, latent-vae, latent-topic, loss-svd, task-lm, task-seq2seq | 0 | Adaptive Parameterization for Neural Dialogue Generation | Hengyi Cai, Hongshen Chen, Cheng Zhang, Yonghao Song, Xiaofang Zhao, Dawei Yin | https://www.aclweb.org/anthology/D19-1188.pdf |
| 2019 | EMNLP | # arch-lstm, arch-att, arch-coverage, latent-topic | 0 | Modeling Frames in Argumentation | Yamen Ajjour, Milad Alshomary, Henning Wachsmuth, Benno Stein | https://www.aclweb.org/anthology/D19-1290.pdf |
| 2019 | EMNLP | # train-mll, arch-rnn, arch-lstm, arch-att, arch-coverage, comb-ensemble, pre-word2vec, pre-bert, latent-topic, task-textclass, task-textpair | 0 | Benchmarking Zero-shot Text Classification: Datasets, Evaluation and Entailment Approach | Wenpeng Yin, Jamaal Hay, Dan Roth | https://www.aclweb.org/anthology/D19-1404.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 | # arch-lstm, arch-bilstm, arch-att, arch-bilinear, arch-coverage, arch-subword, pre-word2vec, pre-fasttext, pre-glove, pre-elmo, pre-bert, latent-topic, task-textclass, task-lm, task-seq2seq | 0 | Game Theory Meets Embeddings: a Unified Framework for Word Sense Disambiguation | Rocco Tripodi, Roberto Navigli | https://www.aclweb.org/anthology/D19-1009.pdf |
| 2019 | EMNLP | # optim-adadelta, reg-dropout, reg-stopping, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-memo, arch-subword, pre-glove, latent-topic, task-textclass, task-lm, task-seq2seq | 0 | Rethinking Attribute Representation and Injection for Sentiment Classification | Reinald Kim Amplayo | https://www.aclweb.org/anthology/D19-1562.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, init-glorot, reg-dropout, train-mll, train-transfer, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-transformer, comb-ensemble, pre-glove, adv-train, latent-topic, task-textclass, task-seq2seq | 0 | Adaptive Ensembling: Unsupervised Domain Adaptation for Political Document Analysis | Shrey Desai, Barea Sinno, Alex Rosenfeld, Junyi Jessy Li | https://www.aclweb.org/anthology/D19-1478.pdf |
| 2019 | EMNLP | # train-mll, train-transfer, latent-topic | 0 | A Multilingual Topic Model for Learning Weighted Topic Links Across Corpora with Low Comparability | Weiwei Yang, Jordan Boyd-Graber, Philip Resnik | https://www.aclweb.org/anthology/D19-1120.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 | # train-transfer, arch-lstm, arch-att, adv-feat, adv-train, latent-topic, task-textclass, task-seq2seq, task-lexicon, task-alignment | 0 | Topics to Avoid: Demoting Latent Confounds in Text Classification | Sachin Kumar, Shuly Wintner, Noah A. Smith, Yulia Tsvetkov | https://www.aclweb.org/anthology/D19-1425.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, arch-gnn, arch-cnn, arch-att, latent-topic, loss-svd | 0 | Reviews Meet Graphs: Enhancing User and Item Representations for Recommendation with Hierarchical Attentive Graph Neural Network | Chuhan Wu, Fangzhao Wu, Tao Qi, Suyu Ge, Yongfeng Huang, Xing Xie | https://www.aclweb.org/anthology/D19-1494.pdf |
| 2019 | EMNLP | # optim-sgd, optim-adam, optim-projection, latent-vae, latent-topic | 0 | Document Hashing with Mixture-Prior Generative Models | Wei Dong, Qinliang Su, Dinghan Shen, Changyou Chen | https://www.aclweb.org/anthology/D19-1526.pdf |
| 2019 | EMNLP | # reg-dropout, train-mtl, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-memo, pre-word2vec, latent-vae, latent-topic | 1 | Heterogeneous Graph Attention Networks for Semi-supervised Short Text Classification | Hu Linmei, Tianchi Yang, Chuan Shi, Houye Ji, Xiaoli Li | https://www.aclweb.org/anthology/D19-1488.pdf |
| 2019 | EMNLP | # optim-adam, init-glorot, reg-dropout, train-mtl, arch-lstm, arch-att, pre-glove, latent-vae, latent-topic, task-seq2seq | 0 | Coupling Global and Local Context for Unsupervised Aspect Extraction | Ming Liao, Jing Li, Haisong Zhang, Lingzhi Wang, Xixin Wu, Kam-Fai Wong | https://www.aclweb.org/anthology/D19-1465.pdf |
| 2019 | EMNLP | # optim-adam, train-mtl, arch-rnn, arch-gru, arch-att, latent-topic, task-extractive, task-seq2seq | 0 | Subtopic-driven Multi-Document Summarization | Xin Zheng, Aixin Sun, Jing Li, Karthik Muthuswamy | https://www.aclweb.org/anthology/D19-1311.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-transformer, pre-fasttext, pre-bert, latent-topic | 0 | The Trumpiest Trump? Identifying a Subject’s Most Characteristic Tweets | Charuta Pethe, Steve Skiena | https://www.aclweb.org/anthology/D19-1175.pdf |
| 2019 | EMNLP | # train-transfer, arch-att, latent-topic, task-lm | 0 | Chameleon: A Language Model Adaptation Toolkit for Automatic Speech Recognition of Conversational Speech | Yuanfeng Song, Di Jiang, Weiwei Zhao, Qian Xu, Raymond Chi-Wing Wong, Qiang Yang | https://www.aclweb.org/anthology/D19-3007.pdf |
| 2019 | EMNLP | # pool-max, arch-rnn, arch-cnn, arch-att, pre-word2vec, latent-topic, task-textclass | 0 | The Myth of Double-Blind Review Revisited: ACL vs. EMNLP | Cornelia Caragea, Ana Uban, Liviu P. Dinu | https://www.aclweb.org/anthology/D19-1236.pdf |
| 2019 | EMNLP | # optim-adam, arch-rnn, arch-att, latent-topic, task-textpair | 0 | Neural Topic Model with Reinforcement Learning | Lin Gui, Jia Leng, Gabriele Pergola, Yu Zhou, Ruifeng Xu, Yulan He | https://www.aclweb.org/anthology/D19-1350.pdf |
| 2019 | EMNLP | # reg-dropout, arch-rnn, arch-lstm, arch-att, arch-coverage, pre-glove, latent-topic, task-textclass, task-seqlab | 0 | Interpretable Relevant Emotion Ranking with Event-Driven Attention | Yang Yang, Deyu Zhou, Yulan He, Meng Zhang | https://www.aclweb.org/anthology/D19-1017.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, norm-layer, pool-max, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, latent-topic, task-lm | 0 | A Hierarchical Location Prediction Neural Network for Twitter User Geolocation | Binxuan Huang, Kathleen Carley | https://www.aclweb.org/anthology/D19-1480.pdf |
| 2019 | EMNLP | # optim-adam, arch-rnn, arch-gru, search-beam, latent-vae, latent-topic, task-lm, task-seq2seq | 0 | Dirichlet Latent Variable Hierarchical Recurrent Encoder-Decoder in Dialogue Generation | Min Zeng, Yisen Wang, Yuan Luo | https://www.aclweb.org/anthology/D19-1124.pdf |
| 2019 | EMNLP | # reg-dropout, reg-norm, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-bilinear, pre-word2vec, pre-bert, latent-topic, task-textclass, task-lm, task-seq2seq | 0 | Leveraging Just a Few Keywords for Fine-Grained Aspect Detection Through Weakly Supervised Co-Training | Giannis Karamanolakis, Daniel Hsu, Luis Gravano | https://www.aclweb.org/anthology/D19-1468.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, train-mll, train-transfer, train-active, arch-lstm, arch-bilstm, arch-cnn, arch-subword, struct-crf, latent-topic, task-seqlab, task-seq2seq | 1 | A Little Annotation does a Lot of Good: A Study in Bootstrapping Low-resource Named Entity Recognizers | Aditi Chaudhary, Jiateng Xie, Zaid Sheikh, Graham Neubig, Jaime Carbonell | https://www.aclweb.org/anthology/D19-1520.pdf |
| 2019 | EMNLP | # optim-sgd, optim-adam, reg-dropout, reg-norm, arch-lstm, arch-att, arch-memo, nondif-reinforce, latent-topic | 0 | Human-Like Decision Making: Document-level Aspect Sentiment Classification via Hierarchical Reinforcement Learning | Jingjing Wang, Changlong Sun, Shoushan Li, Jiancheng Wang, Luo Si, Min Zhang, Xiaozhong Liu, Guodong Zhou | https://www.aclweb.org/anthology/D19-1560.pdf |
| 2019 | EMNLP | # optim-adam, arch-cnn, arch-att, arch-coverage, pre-glove, pre-bert, latent-topic, task-spanlab | 1 | Question Answering for Privacy Policies: Combining Computational and Legal Perspectives | Abhilasha Ravichander, Alan W Black, Shomir Wilson, Thomas Norton, Norman Sadeh | https://www.aclweb.org/anthology/D19-1500.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-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 | # optim-adam, reg-stopping, train-mll, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-copy, arch-coverage, arch-transformer, pre-bert, adv-train, latent-topic, task-lm | 0 | Neural Duplicate Question Detection without Labeled Training Data | Andreas Rücklé, Nafise Sadat Moosavi, Iryna Gurevych | https://www.aclweb.org/anthology/D19-1171.pdf |
| 2019 | NAA-CL | # optim-adam, optim-projection, arch-coverage, pre-glove, latent-topic | 5 | Analyzing Polarization in Social Media: Method and Application to Tweets on 21 Mass Shootings | Dorottya Demszky, Nikhil Garg, Rob Voigt, James Zou, Jesse Shapiro, Matthew Gentzkow, Dan Jurafsky | https://www.aclweb.org/anthology/N19-1304.pdf |
| 2019 | NAA-CL | # train-mll, train-transfer, latent-topic, loss-nce, task-textclass, task-lm, task-alignment | 1 | Multilingual prediction of Alzheimer’s disease through domain adaptation and concept-based language modelling | Kathleen C. Fraser, Nicklas Linz, Bai Li, Kristina Lundholm Fors, Frank Rudzicz, Alexandra König, Jan Alexandersson, Philippe Robert, Dimitrios Kokkinakis | https://www.aclweb.org/anthology/N19-1367.pdf |
| 2019 | NAA-CL | # optim-projection, train-mll, arch-cnn, arch-coverage, nondif-gumbelsoftmax, latent-topic, task-textclass, task-seq2seq | 1 | Cross-Topic Distributional Semantic Representations Via Unsupervised Mappings | Eleftheria Briakou, Nikos Athanasiou, Alexandros Potamianos | https://www.aclweb.org/anthology/N19-1110.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-att, latent-topic, task-textclass, task-lm, task-seq2seq | 0 | Conversation Model Fine-Tuning for Classifying Client Utterances in Counseling Dialogues | Sungjoon Park, Donghyun Kim, Alice Oh | https://www.aclweb.org/anthology/N19-1148.pdf |
| 2019 | NAA-CL | # optim-sgd, optim-adam, optim-adagrad, optim-projection, reg-norm, arch-lstm, arch-bilstm, arch-memo, pre-glove, latent-topic, task-lexicon | 1 | Sentence Embedding Alignment for Lifelong Relation Extraction | Hong Wang, Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Shiyu Chang, William Yang Wang | https://www.aclweb.org/anthology/N19-1086.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, train-mll, arch-rnn, arch-gru, arch-bigru, arch-att, arch-selfatt, latent-topic, task-textpair | 2 | Train One Get One Free: Partially Supervised Neural Network for Bug Report Duplicate Detection and Clustering | Lahari Poddar, Leonardo Neves, William Brendel, Luis Marujo, Sergey Tulyakov, Pradeep Karuturi | https://www.aclweb.org/anthology/N19-2020.pdf |
| 2019 | NAA-CL | # reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-memo, arch-bilinear, arch-coverage, arch-subword, search-beam, search-viterbi, struct-crf, latent-topic, task-textpair, task-seqlab, task-lm, task-seq2seq | 0 | Incorporating Word Attention into Character-Based Word Segmentation | Shohei Higashiyama, Masao Utiyama, Eiichiro Sumita, Masao Ideuchi, Yoshiaki Oida, Yohei Sakamoto, Isaac Okada | https://www.aclweb.org/anthology/N19-1276.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 | # latent-vae, latent-topic, task-textclass | 0 | Doc2hash: Learning Discrete Latent variables for Documents Retrieval | Yifei Zhang, Hao Zhu | https://www.aclweb.org/anthology/N19-1232.pdf |
| 2019 | NAA-CL | # optim-adam, norm-batch, train-mtl, train-transfer, struct-cfg, adv-train, latent-topic, task-seq2seq | 5 | Detecting cognitive impairments by agreeing on interpretations of linguistic features | Zining Zhu, Jekaterina Novikova, Frank Rudzicz | https://www.aclweb.org/anthology/N19-1146.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-gru, arch-bigru, arch-att, arch-memo, arch-copy, search-beam, latent-topic, task-seq2seq | 2 | Microblog Hashtag Generation via Encoding Conversation Contexts | Yue Wang, Jing Li, Irwin King, Michael R. Lyu, Shuming Shi | https://www.aclweb.org/anthology/N19-1164.pdf |
| 2019 | NAA-CL | # optim-adadelta, reg-decay, train-mtl, arch-rnn, arch-att, pre-word2vec, struct-crf, latent-vae, latent-topic, task-textclass, task-relation | 0 | A Variational Approach to Weakly Supervised Document-Level Multi-Aspect Sentiment Classification | Ziqian Zeng, Wenxuan Zhou, Xin Liu, Yangqiu Song | https://www.aclweb.org/anthology/N19-1036.pdf |
| 2019 | NAA-CL | # optim-adam, comb-ensemble, pre-word2vec, latent-topic | 1 | Integration of Knowledge Graph Embedding Into Topic Modeling with Hierarchical Dirichlet Process | Dingcheng Li, Siamak Zamani, Jingyuan Zhang, Ping Li | https://www.aclweb.org/anthology/N19-1099.pdf |
| 2019 | NAA-CL | # arch-lstm, arch-cnn, pre-word2vec, latent-topic, task-textclass | 4 | Augmenting word2vec with latent Dirichlet allocation within a clinical application | Akshay Budhkar, Frank Rudzicz | https://www.aclweb.org/anthology/N19-1414.pdf |
| 2019 | NAA-CL | # optim-adam, arch-rnn, arch-att, latent-topic, loss-nce, task-extractive, task-seq2seq | 0 | News Article Teaser Tweets and How to Generate Them | Sanjeev Kumar Karn, Mark Buckley, Ulli Waltinger, Hinrich Schütze | https://www.aclweb.org/anthology/N19-1398.pdf |
| 2019 | NAA-CL | # optim-adam, init-glorot, reg-dropout, reg-stopping, reg-patience, reg-norm, arch-rnn, arch-lstm, arch-gru, arch-att, arch-copy, comb-ensemble, pre-glove, struct-crf, latent-topic, task-extractive | 0 | Glocal: Incorporating Global Information in Local Convolution for Keyphrase Extraction | Animesh Prasad, Min-Yen Kan | https://www.aclweb.org/anthology/N19-1182.pdf |
| 2019 | NAA-CL | # train-mll, train-transfer, latent-topic | 0 | Analyzing Bayesian Crosslingual Transfer in Topic Models | Shudong Hao, Michael J. Paul | https://www.aclweb.org/anthology/N19-1158.pdf |
| 2019 | NAA-CL | # reg-dropout, pool-max, arch-lstm, arch-cnn, arch-att, latent-topic, task-textclass | 3 | Sub-event detection from twitter streams as a sequence labeling problem | Giannis Bekoulis, Johannes Deleu, Thomas Demeester, Chris Develder | https://www.aclweb.org/anthology/N19-1081.pdf |