Year Conf. Topic Cited Paper Authors Url
2019 ACL # optim-adam, reg-dropout, train-active, arch-rnn, arch-cnn, arch-att, arch-memo, search-beam, pre-glove, task-seq2seq 2 Collaborative Dialogue in Minecraft Anjali Narayan-Chen, Prashant Jayannavar, Julia Hockenmaier https://www.aclweb.org/anthology/P19-1537.pdf
2019 ACL # optim-adam, reg-dropout, norm-layer, train-active, arch-lstm, arch-bilstm, arch-att, pre-glove, pre-elmo, pre-bert, struct-crf, task-lm 0 Learning Emphasis Selection for Written Text in Visual Media from Crowd-Sourced Label Distributions Amirreza Shirani, Franck Dernoncourt, Paul Asente, Nedim Lipka, Seokhwan Kim, Jose Echevarria, Thamar Solorio https://www.aclweb.org/anthology/P19-1112.pdf
2019 ACL # optim-adam, reg-stopping, train-mtl, train-active, arch-att, arch-subword, arch-transformer, pre-fasttext, task-condlm 14 Learning from Dialogue after Deployment: Feed Yourself, Chatbot! Braden Hancock, Antoine Bordes, Pierre-Emmanuel Mazare, Jason Weston https://www.aclweb.org/anthology/P19-1358.pdf
2019 ACL # optim-adam, reg-dropout, reg-stopping, train-active, arch-rnn, arch-lstm, arch-bilstm, pre-fasttext, loss-nce, task-seqlab, task-relation 0 Analysis of Automatic Annotation Suggestions for Hard Discourse-Level Tasks in Expert Domains Claudia Schulz, Christian M. Meyer, Jan Kiesewetter, Michael Sailer, Elisabeth Bauer, Martin R. Fischer, Frank Fischer, Iryna Gurevych https://www.aclweb.org/anthology/P19-1265.pdf
2019 ACL # optim-adam, train-mll, train-transfer, train-active, arch-cnn, arch-att, search-viterbi, struct-crf, task-textclass, task-seqlab 0 Learning How to Active Learn by Dreaming Thuy-Trang Vu, Ming Liu, Dinh Phung, Gholamreza Haffari https://www.aclweb.org/anthology/P19-1401.pdf
2019 ACL # init-glorot, train-transfer, train-active, arch-lstm 0 Budgeted Policy Learning for Task-Oriented Dialogue Systems Zhirui Zhang, Xiujun Li, Jianfeng Gao, Enhong Chen https://www.aclweb.org/anthology/P19-1364.pdf
2019 ACL # optim-adam, reg-dropout, train-transfer, train-active, arch-rnn, arch-lstm, arch-gru, arch-att, pre-glove, task-seq2seq, meta-init 5 Domain Adaptive Dialog Generation via Meta Learning Kun Qian, Zhou Yu https://www.aclweb.org/anthology/P19-1253.pdf
2019 ACL # reg-dropout, train-transfer, train-active, arch-lstm, arch-bilstm, arch-att, arch-coverage, pre-glove, pre-elmo, task-textclass, task-seqlab 1 The Language of Legal and Illegal Activity on the Darknet Leshem Choshen, Dan Eldad, Daniel Hershcovich, Elior Sulem, Omri Abend https://www.aclweb.org/anthology/P19-1419.pdf
2019 ACL # optim-adam, train-active, arch-lstm, struct-crf 0 Dataset Creation for Ranking Constructive News Comments Soichiro Fujita, Hayato Kobayashi, Manabu Okumura https://www.aclweb.org/anthology/P19-1250.pdf
2019 ACL # optim-adam, reg-dropout, train-active, arch-att, arch-memo, arch-transformer, pre-word2vec, pre-fasttext, latent-vae, loss-nce, task-seq2seq 1 Improving Neural Conversational Models with Entropy-Based Data Filtering Richárd Csáky, Patrik Purgai, Gábor Recski https://www.aclweb.org/anthology/P19-1567.pdf
2019 ACL # optim-adam, reg-dropout, reg-stopping, train-transfer, train-active, arch-rnn, arch-lstm, arch-att, arch-subword, search-beam, task-seq2seq 0 Self-Regulated Interactive Sequence-to-Sequence Learning Julia Kreutzer, Stefan Riezler https://www.aclweb.org/anthology/P19-1029.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, train-active, arch-rnn, arch-lstm, arch-gru, arch-att, arch-memo, latent-vae, task-textclass, task-seqlab 1 Incremental Learning from Scratch for Task-Oriented Dialogue Systems Weikang Wang, Jiajun Zhang, Qian Li, Mei-Yuh Hwang, Chengqing Zong, Zhifei Li https://www.aclweb.org/anthology/P19-1361.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 # 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 # 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 # reg-dropout, train-active, arch-lstm, arch-cnn, comb-ensemble, search-viterbi, struct-crf, latent-vae, task-seqlab 1 A Bayesian Approach for Sequence Tagging with Crowds Edwin D. Simpson, Iryna Gurevych https://www.aclweb.org/anthology/D19-1101.pdf
2019 EMNLP # optim-adam, init-glorot, train-mtl, train-mll, train-active, arch-rnn, arch-birnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-bilinear, arch-transformer, search-viterbi, pre-glove, struct-crf, adv-train, task-textclass, task-seqlab, task-lm, task-seq2seq, task-relation 0 Hierarchically-Refined Label Attention Network for Sequence Labeling Leyang Cui, Yue Zhang https://www.aclweb.org/anthology/D19-1422.pdf
2019 EMNLP # optim-adam, train-mll, train-active, arch-att, arch-selfatt, arch-copy, arch-subword, arch-transformer, comb-ensemble, task-lm, task-seq2seq, task-alignment 0 Learning to Copy for Automatic Post-Editing Xuancheng Huang, Yang Liu, Huanbo Luan, Jingfang Xu, Maosong Sun https://www.aclweb.org/anthology/D19-1634.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, train-transfer, train-active, arch-rnn, arch-att, arch-selfatt, arch-coverage, arch-subword, arch-transformer, search-beam, pre-fasttext, pre-bert, task-textclass, task-lm, task-condlm, task-seq2seq 14 Learning to Speak and Act in a Fantasy Text Adventure Game Jack Urbanek, Angela Fan, Siddharth Karamcheti, Saachi Jain, Samuel Humeau, Emily Dinan, Tim Rocktäschel, Douwe Kiela, Arthur Szlam, Jason Weston https://www.aclweb.org/anthology/D19-1062.pdf
2019 EMNLP # optim-adam, train-mtl, train-active, train-augment, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-selfatt, pre-elmo, pre-bert, latent-vae, task-textclass, task-lm, task-seq2seq 19 EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks Jason Wei, Kai Zou https://www.aclweb.org/anthology/D19-1670.pdf
2019 EMNLP # reg-stopping, train-mtl, train-active, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, search-viterbi, pre-glove, pre-elmo, pre-bert, struct-hmm, struct-crf, task-seqlab, task-lm, task-seq2seq 0 Similarity Based Auxiliary Classifier for Named Entity Recognition Shiyuan Xiao, Yuanxin Ouyang, Wenge Rong, Jianxin Yang, Zhang Xiong https://www.aclweb.org/anthology/D19-1105.pdf
2019 EMNLP # reg-dropout, train-active, arch-lstm, arch-cnn, arch-att, arch-coverage, pre-glove, task-textclass 1 Reporting the Unreported: Event Extraction for Analyzing the Local Representation of Hate Crimes Aida Mostafazadeh Davani, Leigh Yeh, Mohammad Atari, Brendan Kennedy, Gwenyth Portillo Wightman, Elaine Gonzalez, Natalie Delong, Rhea Bhatia, Arineh Mirinjian, Xiang Ren, Morteza Dehghani https://www.aclweb.org/anthology/D19-1580.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, train-active, arch-att 1 Finding Microaggressions in the Wild: A Case for Locating Elusive Phenomena in Social Media Posts Luke Breitfeller, Emily Ahn, David Jurgens, Yulia Tsvetkov https://www.aclweb.org/anthology/D19-1176.pdf
2019 EMNLP # train-active, arch-lstm, arch-bilstm, arch-cnn, pre-elmo, pre-bert, struct-crf, task-seqlab, task-lm 1 CrossWeigh: Training Named Entity Tagger from Imperfect Annotations Zihan Wang, Jingbo Shang, Liyuan Liu, Lihao Lu, Jiacheng Liu, Jiawei Han https://www.aclweb.org/anthology/D19-1519.pdf
2019 EMNLP # train-active, task-lm 1 MedCATTrainer: A Biomedical Free Text Annotation Interface with Active Learning and Research Use Case Specific Customisation Thomas Searle, Zeljko Kraljevic, Rebecca Bendayan, Daniel Bean, Richard Dobson https://www.aclweb.org/anthology/D19-3024.pdf
2019 EMNLP # optim-adam, reg-stopping, reg-patience, train-transfer, train-active, arch-lstm, arch-bilstm, comb-ensemble, pre-glove, pre-elmo, adv-examp, adv-train, task-lm 0 To Annotate or Not? Predicting Performance Drop under Domain Shift Hady Elsahar, Matthias Gallé https://www.aclweb.org/anthology/D19-1222.pdf
2019 EMNLP # optim-sgd, optim-adam, train-mll, train-active, arch-lstm, arch-bilstm, pre-word2vec, pre-elmo, pre-bert, task-textclass, task-textpair, task-extractive, task-condlm, task-seq2seq 2 MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover Distance Wei Zhao, Maxime Peyrard, Fei Liu, Yang Gao, Christian M. Meyer, Steffen Eger https://www.aclweb.org/anthology/D19-1053.pdf
2019 EMNLP # optim-adam, reg-dropout, train-transfer, train-active, arch-lstm, arch-bilstm, arch-cnn, search-beam, pre-word2vec, pre-glove, struct-crf, task-textclass, task-seqlab 2 Practical Obstacles to Deploying Active Learning David Lowell, Zachary C. Lipton, Byron C. Wallace https://www.aclweb.org/anthology/D19-1003.pdf
2019 EMNLP # optim-sgd, optim-adam, reg-dropout, train-active, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, comb-ensemble, pre-fasttext, task-textclass, task-lm, meta-arch 0 Sampling Bias in Deep Active Classification: An Empirical Study Ameya Prabhu, Charles Dognin, Maneesh Singh https://www.aclweb.org/anthology/D19-1417.pdf
2019 EMNLP # train-active, arch-att, pre-glove, pre-bert, task-lm, task-seq2seq 1 Automatic Argument Quality Assessment - New Datasets and Methods Assaf Toledo, Shai Gretz, Edo Cohen-Karlik, Roni Friedman, Elad Venezian, Dan Lahav, Michal Jacovi, Ranit Aharonov, Noam Slonim https://www.aclweb.org/anthology/D19-1564.pdf
2019 EMNLP # optim-adam, optim-projection, train-mll, train-transfer, train-active, pre-elmo, pre-bert, adv-train, latent-vae, task-textclass, task-seqlab, task-lm, task-seq2seq, task-lexicon 2 Adversarial Learning with Contextual Embeddings for Zero-resource Cross-lingual Classification and NER Phillip Keung, Yichao Lu, Vikas Bhardwaj https://www.aclweb.org/anthology/D19-1138.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 # 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 # train-active, arch-coverage 0 MAssistant: A Personal Knowledge Assistant for MOOC Learners Lan Jiang, Shuhan Hu, Mingyu Huang, Zhichun Wang, Jinjian Yang, Xiaoju Ye, Wei Zheng https://www.aclweb.org/anthology/D19-3023.pdf
2019 NAA-CL # optim-adam, train-active, arch-coverage, comb-ensemble, struct-hmm, struct-crf, task-textclass, task-seqlab 2 Active Learning for New Domains in Natural Language Understanding Stanislav Peshterliev, John Kearney, Abhyuday Jagannatha, Imre Kiss, Spyros Matsoukas https://www.aclweb.org/anthology/N19-2012.pdf
2019 NAA-CL # optim-adam, reg-stopping, reg-decay, train-active, arch-lstm, pre-word2vec, latent-vae, task-textclass, task-seqlab 0 Modelling Instance-Level Annotator Reliability for Natural Language Labelling Tasks Maolin Li, Arvid Fahlström Myrman, Tingting Mu, Sophia Ananiadou https://www.aclweb.org/anthology/N19-1295.pdf
2019 NAA-CL # optim-adam, reg-dropout, train-active, pool-max, arch-rnn, arch-cnn, arch-att 0 Saliency Learning: Teaching the Model Where to Pay Attention Reza Ghaeini, Xiaoli Fern, Hamed Shahbazi, Prasad Tadepalli https://www.aclweb.org/anthology/N19-1404.pdf
2019 NAA-CL # optim-adam, optim-adagrad, optim-adadelta, optim-projection, reg-dropout, reg-norm, train-mll, train-active, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-gating, arch-bilinear, arch-subword, comb-ensemble, pre-fasttext, pre-elmo, pre-bert, struct-crf, task-seqlab, task-lm, task-seq2seq, task-relation, task-lexicon 7 Polyglot Contextual Representations Improve Crosslingual Transfer Phoebe Mulcaire, Jungo Kasai, Noah A. Smith https://www.aclweb.org/anthology/N19-1392.pdf
2019 NAA-CL # optim-sgd, optim-adam, optim-projection, init-glorot, reg-dropout, train-active, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-memo, arch-bilinear 0 Relation Extraction with Temporal Reasoning Based on Memory Augmented Distant Supervision Jianhao Yan, Lin He, Ruqin Huang, Jian Li, Ying Liu https://www.aclweb.org/anthology/N19-1107.pdf
2019 NAA-CL # train-mll, train-active, arch-att, pre-fasttext, pre-use, task-textclass, task-textpair, task-lm, task-seq2seq 0 A Study of Incorrect Paraphrases in Crowdsourced User Utterances Mohammad-Ali Yaghoub-Zadeh-Fard, Boualem Benatallah, Moshe Chai Barukh, Shayan Zamanirad https://www.aclweb.org/anthology/N19-1026.pdf