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 |