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ORCIDNAACL-HLT 2019: Minneapolis, MN, USA - Volume 1 (Long and Short Papers)
- Jill Burstein, Christy Doran, Thamar Solorio:
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2019, Minneapolis, MN, USA, June 2-7, 2019, Volume 1 (Long and Short Papers). Association for Computational Linguistics 2019, ISBN 978-1-950737-13-0
- Nora Hollenstein, Ce Zhang:
Entity Recognition at First Sight: Improving NER with Eye Movement Information. 1-10 - Yair Lakretz, Germán Kruszewski, Theo Desbordes, Dieuwke Hupkes, Stanislas Dehaene, Marco Baroni:
The emergence of number and syntax units in LSTM language models. 11-20 - Hadi Amiri:
Neural Self-Training through Spaced Repetition. 21-31 - Richard Futrell, Ethan Wilcox, Takashi Morita
, Peng Qian, Miguel Ballesteros, Roger Levy:
Neural language models as psycholinguistic subjects: Representations of syntactic state. 32-42 - Dan Schwartz, Tom M. Mitchell:
Understanding language-elicited EEG data by predicting it from a fine-tuned language model. 43-57 - Sameer Bansal, Herman Kamper, Karen Livescu, Adam Lopez, Sharon Goldwater:
Pre-training on high-resource speech recognition improves low-resource speech-to-text translation. 58-68 - Cory Shain, Micha Elsner:
Measuring the perceptual availability of phonological features during language acquisition using unsupervised binary stochastic autoencoders. 69-85 - Vicky Zayats, Mari Ostendorf:
Giving Attention to the Unexpected: Using Prosody Innovations in Disfluency Detection. 86-95 - Oliver Adams, Matthew Wiesner, Shinji Watanabe, David Yarowsky:
Massively Multilingual Adversarial Speech Recognition. 96-108 - Nikolai Vogler, Craig Stewart, Graham Neubig:
Lost in Interpretation: Predicting Untranslated Terminology in Simultaneous Interpretation. 109-118 - Chris Dongjoo Kim, Byeongchang Kim, Hyunmin Lee, Gunhee Kim:
AudioCaps: Generating Captions for Audios in The Wild. 119-132 - Nabil Hossain, John Krumm, Michael Gamon:
"President Vows to Cut Hair": Dataset and Analysis of Creative Text Editing for Humorous Headlines. 133-142 - Sudha Rao, Hal Daumé III:
Answer-based Adversarial Training for Generating Clarification Questions. 143-155 - Wei Zhao, Liang Wang, Kewei Shen, Ruoyu Jia, Jingming Liu:
Improving Grammatical Error Correction via Pre-Training a Copy-Augmented Architecture with Unlabeled Data. 156-165 - Wenlin Wang, Zhe Gan, Hongteng Xu, Ruiyi Zhang, Guoyin Wang, Dinghan Shen, Changyou Chen, Lawrence Carin:
Topic-Guided Variational Auto-Encoder for Text Generation. 166-177 - Thomas Ruprecht, Tobias Denkinger:
Implementation of a Chomsky-Schützenberger n-best parser for weighted multiple context-free grammars. 178-191 - Mathieu Dehouck, Pascal Denis:
Phylogenic Multi-Lingual Dependency Parsing. 192-203 - Maximin Coavoux, Shay B. Cohen:
Discontinuous Constituency Parsing with a Stack-Free Transition System and a Dynamic Oracle. 204-217 - Guillaume Wisniewski, François Yvon:
How Bad are PoS Tagger in Cross-Corpora Settings? Evaluating Annotation Divergence in the UD Project. 218-227 - Milos Stanojevic, Mark Steedman:
CCG Parsing Algorithm with Incremental Tree Rotation. 228-239 - Hao Fu, Chunyuan Li, Xiaodong Liu, Jianfeng Gao, Asli Celikyilmaz, Lawrence Carin:
Cyclical Annealing Schedule: A Simple Approach to Mitigating KL Vanishing. 240-250 - Natalie Schluter:
Recurrent models and lower bounds for projective syntactic decoding. 251-260 - Gijs Wijnholds, Mehrnoosh Sadrzadeh:
Evaluating Composition Models for Verb Phrase Elliptical Sentence Embeddings. 261-271 - Chu-Cheng Lin, Hao Zhu, Matthew R. Gormley, Jason Eisner:
Neural Finite-State Transducers: Beyond Rational Relations. 272-283 - Prince Zizhuang Wang, William Yang Wang:
Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling. 284-294 - Mohammad-Ali Yaghoub-Zadeh-Fard, Boualem Benatallah, Moshe Chai Barukh, Shayan Zamanirad:
A Study of Incorrect Paraphrases in Crowdsourced User Utterances. 295-306 - Abdalghani Abujabal, Rishiraj Saha Roy, Mohamed Yahya, Gerhard Weikum:
ComQA: A Community-sourced Dataset for Complex Factoid Question Answering with Paraphrase Clusters. 307-317 - Kelvin Jiang, Dekun Wu, Hui Jiang:
FreebaseQA: A New Factoid QA Data Set Matching Trivia-Style Question-Answer Pairs with Freebase. 318-323 - Wenbo Zhao, Tagyoung Chung, Anuj Kumar Goyal, Angeliki Metallinou:
Simple Question Answering with Subgraph Ranking and Joint-Scoring. 324-334 - Jianmo Ni, Chenguang Zhu, Weizhu Chen, Julian J. McAuley:
Learning to Attend On Essential Terms: An Enhanced Retriever-Reader Model for Open-domain Question Answering. 335-344 - Zi-Yuan Chen, Chih-Hung Chang, Yi-Pei Chen, Jijnasa Nayak, Lun-Wei Ku:
UHop: An Unrestricted-Hop Relation Extraction Framework for Knowledge-Based Question Answering. 345-356 - Yu Cao, Meng Fang, Dacheng Tao:
BAG: Bi-directional Attention Entity Graph Convolutional Network for Multi-hop Reasoning Question Answering. 357-362 - Radu Tudor Ionescu, Andrei M. Butnaru:
Vector of Locally-Aggregated Word Embeddings (VLAWE): A Novel Document-level Representation. 363-369 - Md. Shad Akhtar, Dushyant Singh Chauhan, Deepanway Ghosal, Soujanya Poria, Asif Ekbal, Pushpak Bhattacharyya:
Multi-task Learning for Multi-modal Emotion Recognition and Sentiment Analysis. 370-379 - Chi Sun, Luyao Huang, Xipeng Qiu:
Utilizing BERT for Aspect-Based Sentiment Analysis via Constructing Auxiliary Sentence. 380-385 - Ziqian Zeng, Wenxuan Zhou, Xin Liu, Yangqiu Song:
A Variational Approach to Weakly Supervised Document-Level Multi-Aspect Sentiment Classification. 386-396 - Wenxiang Jiao, Haiqin Yang, Irwin King, Michael R. Lyu:
HiGRU: Hierarchical Gated Recurrent Units for Utterance-Level Emotion Recognition. 397-406 - Nicolas Pröllochs, Stefan Feuerriegel, Dirk Neumann:
Learning Interpretable Negation Rules via Weak Supervision at Document Level: A Reinforcement Learning Approach. 407-413 - Timothy A. Miller:
Simplified Neural Unsupervised Domain Adaptation. 414-419 - Yanlin Feng, Xiaojun Wan:
Learning Bilingual Sentiment-Specific Word Embeddings without Cross-lingual Supervision. 420-429 - Inigo Jauregi Unanue, Ehsan Zare Borzeshi, Nazanin Esmaili, Massimo Piccardi:
ReWE: Regressing Word Embeddings for Regularization of Neural Machine Translation Systems. 430-436 - Reuben Cohn-Gordon, Noah D. Goodman:
Lost in Machine Translation: A Method to Reduce Meaning Loss. 437-441 - Xing Niu, Weijia Xu, Marine Carpuat:
Bi-Directional Differentiable Input Reconstruction for Low-Resource Neural Machine Translation. 442-448 - Kai Song, Yue Zhang, Heng Yu, Weihua Luo, Kun Wang, Min Zhang:
Code-Switching for Enhancing NMT with Pre-Specified Translation. 449-459 - Noa Yehezkel Lubin, Jacob Goldberger, Yoav Goldberg:
Aligning Vector-spaces with Noisy Supervised Lexicon. 460-465 - Guanlin Li, Lemao Liu, Xintong Li, Conghui Zhu, Tiejun Zhao, Shuming Shi:
Understanding and Improving Hidden Representations for Neural Machine Translation. 466-477 - Daniel Hershcovich, Omri Abend, Ari Rappoport:
Content Differences in Syntactic and Semantic Representation. 478-488 - Timo Schick, Hinrich Schütze:
Attentive Mimicking: Better Word Embeddings by Attending to Informative Contexts. 489-494 - Remi Mir, Bjarke Felbo, Nick Obradovich, Iyad Rahwan:
Evaluating Style Transfer for Text. 495-504 - Shima Asaadi, Saif M. Mohammad, Svetlana Kiritchenko:
Big BiRD: A Large, Fine-Grained, Bigram Relatedness Dataset for Examining Semantic Composition. 505-516 - Stefan Larson, Anish Mahendran, Andrew Lee, Jonathan K. Kummerfeld, Parker Hill, Michael A. Laurenzano, Johann Hauswald, Lingjia Tang, Jason Mars:
Outlier Detection for Improved Data Quality and Diversity in Dialog Systems. 517-527 - Liye Fu, Jonathan P. Chang, Cristian Danescu-Niculescu-Mizil:
Asking the Right Question: Inferring Advice-Seeking Intentions from Personal Narratives. 528-541 - Sihao Chen, Daniel Khashabi, Wenpeng Yin, Chris Callison-Burch, Dan Roth:
Seeing Things from a Different Angle: Discovering Diverse Perspectives about Claims. 542-557 - Tuhin Chakrabarty, Christopher Hidey, Kathy McKeown:
IMHO Fine-Tuning Improves Claim Detection. 558-563 - Rashmi Gangadharaiah, Balakrishnan Narayanaswamy:
Joint Multiple Intent Detection and Slot Labeling for Goal-Oriented Dialog. 564-569 - Malihe Alikhani, Sreyasi Nag Chowdhury, Gerard de Melo, Matthew Stone:
CITE: A Corpus of Image-Text Discourse Relations. 570-575 - Sanuj Sharma, Prafulla Kumar Choubey, Ruihong Huang:
Improving Dialogue State Tracking by Discerning the Relevant Context. 576-581 - Satwik Kottur, José M. F. Moura, Devi Parikh, Dhruv Batra, Marcus Rohrbach:
CLEVR-Dialog: A Diagnostic Dataset for Multi-Round Reasoning in Visual Dialog. 582-595 - Jesse Mu, Helen Yannakoudakis, Ekaterina Shutova:
Learning Outside the Box: Discourse-level Features Improve Metaphor Identification. 596-601 - Michael Wiegand, Josef Ruppenhofer, Thomas Kleinbauer:
Detection of Abusive Language: the Problem of Biased Datasets. 602-608 - Hila Gonen, Yoav Goldberg:
Lipstick on a Pig: Debiasing Methods Cover up Systematic Gender Biases in Word Embeddings But do not Remove Them. 609-614 - Thomas Manzini, Yao Chong Lim, Alan W. Black, Yulia Tsvetkov:
Black is to Criminal as Caucasian is to Police: Detecting and Removing Multiclass Bias in Word Embeddings. 615-621 - Chandler May, Alex Wang, Shikha Bordia, Samuel R. Bowman, Rachel Rudinger:
On Measuring Social Biases in Sentence Encoders. 622-628 - Jieyu Zhao, Tianlu Wang, Mark Yatskar, Ryan Cotterell, Vicente Ordonez, Kai-Wei Chang:
Gender Bias in Contextualized Word Embeddings. 629-634 - Alexander Hoyle, Lawrence Wolf-Sonkin, Hanna M. Wallach, Ryan Cotterell, Isabelle Augenstein:
Combining Sentiment Lexica with a Multi-View Variational Autoencoder. 635-640 - Meishan Zhang, Peili Liang, Guohong Fu:
Enhancing Opinion Role Labeling with Semantic-Aware Word Representations from Semantic Role Labeling. 641-646 - Evgeny Kim, Roman Klinger:
Frowning Frodo, Wincing Leia, and a Seriously Great Friendship: Learning to Classify Emotional Relationships of Fictional Characters. 647-653 - Janek Bevendorff, Benno Stein, Matthias Hagen, Martin Potthast:
Generalizing Unmasking for Short Texts. 654-659 - Robert McHardy, Heike Adel, Roman Klinger:
Adversarial Training for Satire Detection: Controlling for Confounding Variables. 660-665 - Erion Çano, Ondrej Bojar:
Keyphrase Generation: A Text Summarization Struggle. 666-672 - Christos Baziotis, Ion Androutsopoulos, Ioannis Konstas, Alexandros Potamianos:
SEQˆ3: Differentiable Sequence-to-Sequence-to-Sequence Autoencoder for Unsupervised Abstractive Sentence Compression. 673-681 - Ori Shapira, David Gabay, Yang Gao, Hadar Ronen, Ramakanth Pasunuru, Mohit Bansal, Yael Amsterdamer, Ido Dagan:
Crowdsourcing Lightweight Pyramids for Manual Summary Evaluation. 682-687 - Hassan Hajipoor, Hadi Amiri, Maseud Rahgozar, Farhad Oroumchian:
Serial Recall Effects in Neural Language Modeling. 688-694 - Tobias Falke, Iryna Gurevych:
Fast Concept Mention Grouping for Concept Map-based Multi-Document Summarization. 695-700 - Jungo Kasai, Dan Friedman, Robert Frank, Dragomir R. Radev, Owen Rambow:
Syntax-aware Neural Semantic Role Labeling with Supertags. 701-709 - Daniel Fernández-González, Carlos Gómez-Rodríguez:
Left-to-Right Dependency Parsing with Pointer Networks. 710-716 - Michalina Strzyz, David Vilares, Carlos Gómez-Rodríguez:
Viable Dependency Parsing as Sequence Labeling. 717-723 - Alan Akbik, Tanja Bergmann, Roland Vollgraf:
Pooled Contextualized Embeddings for Named Entity Recognition. 724-728 - Zhanming Jie, Pengjun Xie, Wei Lu, Ruixue Ding, Linlin Li:
Better Modeling of Incomplete Annotations for Named Entity Recognition. 729-734 - Shulin Liu, Yang Li, Feng Zhang, Tao Yang, Xinpeng Zhou:
Event Detection without Triggers. 735-744 - Giannis Bekoulis, Johannes Deleu, Thomas Demeester, Chris Develder:
Sub-event detection from twitter streams as a sequence labeling problem. 745-750 - Yujie Qian, Enrico Santus, Zhijing Jin, Jiang Guo, Regina Barzilay:
GraphIE: A Graph-Based Framework for Information Extraction. 751-761 - Dongxu Zhang, Subhabrata Mukherjee, Colin Lockard, Xin Luna Dong, Andrew McCallum:
OpenKI: Integrating Open Information Extraction and Knowledge Bases with Relation Inference. 762-772 - Wenhan Xiong, Jiawei Wu, Deren Lei, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang:
Imposing Label-Relational Inductive Bias for Extremely Fine-Grained Entity Typing. 773-784 - Yin Jou Huang, Jing Lu, Sadao Kurohashi, Vincent Ng:
Improving Event Coreference Resolution by Learning Argument Compatibility from Unlabeled Data. 785-795 - Hong Wang, Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Shiyu Chang, William Yang Wang:
Sentence Embedding Alignment for Lifelong Relation Extraction. 796-806 - Rasha Obeidat, Xiaoli Z. Fern, Hamed Shahbazi, Prasad Tadepalli:
Description-Based Zero-shot Fine-Grained Entity Typing. 807-814 - Alexey Romanov, Anna Rumshisky, Anna Rogers, David Donahue:
Adversarial Decomposition of Text Representation. 815-825 - Jun Seok Kang, Robert L. Logan IV, Zewei Chu, Yang Chen, Dheeru Dua, Kevin Gimpel, Sameer Singh, Niranjan Balasubramanian:
PoMo: Generating Entity-Specific Post-Modifiers in Context. 826-838 - J. Edward Hu, Huda Khayrallah, Ryan Culkin, Patrick Xia, Tongfei Chen, Matt Post, Benjamin Van Durme:
Improved Lexically Constrained Decoding for Translation and Monolingual Rewriting. 839-850 - Hitesh Golchha, Mauajama Firdaus, Asif Ekbal, Pushpak Bhattacharyya:
Courteously Yours: Inducing courteous behavior in Customer Care responses using Reinforced Pointer Generator Network. 851-860 - Zhiwei Yu, Xiaojun Wan:
How to Avoid Sentences Spelling Boring? Towards a Neural Approach to Unsupervised Metaphor Generation. 861-871 - Hongming Zhang, Yan Song, Yangqiu Song:
Incorporating Context and External Knowledge for Pronoun Coreference Resolution. 872-881 - Shuohang Wang, Sheng Zhang, Yelong Shen, Xiaodong Liu, Jingjing Liu, Jianfeng Gao, Jing Jiang:
Unsupervised Deep Structured Semantic Models for Commonsense Reasoning. 882-891 - Jingxuan Yang, Jianzhuo Tong, Si Li, Sheng Gao, Jun Guo, Nianwen Xue:
Recovering dropped pronouns in Chinese conversations via modeling their referents. 892-901 - Ieva Vasiljeva, Sorcha Gilroy, Adam Lopez:
The problem with probabilistic DAG automata for semantic graphs. 902-911 - Yi Zhu, Ivan Vulic, Anna Korhonen:
A Systematic Study of Leveraging Subword Information for Learning Word Representations. 912-932 - Prakhar Gupta, Matteo Pagliardini, Martin Jaggi:
Better Word Embeddings by Disentangling Contextual n-Gram Information. 933-939 - Dingcheng Li, Siamak Zamani, Jingyuan Zhang, Ping Li:
Integration of Knowledge Graph Embedding Into Topic Modeling with Hierarchical Dirichlet Process. 940-950 - Vitalii Zhelezniak, Aleksandar Savkov, April Shen, Nils Y. Hammerla:
Correlation Coefficients and Semantic Textual Similarity. 951-962 - James Thorne, Andreas Vlachos, Christos Christodoulopoulos, Arpit Mittal:
Generating Token-Level Explanations for Natural Language Inference. 963-969 - Pierre Finnimore, Elisabeth Fritzsch, Daniel King, Alison Sneyd, Aneeq Ur Rehman, Fernando Alva-Manchego, Andreas Vlachos:
Strong Baselines for Complex Word Identification across Multiple Languages. 970-977 - Xiaotian Jiang, Quan Wang, Bin Wang:
Adaptive Convolution for Multi-Relational Learning. 978-987 - Takuma Ebisu, Ryutaro Ichise:
Graph Pattern Entity Ranking Model for Knowledge Graph Completion. 988-997 - Xiaozhi Wang, Xu Han, Zhiyuan Liu, Maosong Sun, Peng Li:
Adversarial Training for Weakly Supervised Event Detection. 998-1008 - Elham J. Barezi, Ian D. Wood, Pascale Fung, Hamid R. Rabiee:
A Submodular Feature-Aware Framework for Label Subset Selection in Extreme Classification Problems. 1009-1018 - Jianhao Yan, Lin He, Ruqin Huang, Jian Li, Ying Liu:
Relation Extraction with Temporal Reasoning Based on Memory Augmented Distant Supervision. 1019-1030 - Jingqing Zhang, Piyawat Lertvittayakumjorn, Yike Guo:
Integrating Semantic Knowledge to Tackle Zero-shot Text Classification. 1031-1040 - Procheta Sen, Debasis Ganguly, Gareth J. F. Jones:
Word-Node2Vec: Improving Word Embedding with Document-Level Non-Local Word Co-occurrences. 1041-1051 - Eleftheria Briakou, Nikos Athanasiou, Alexandros Potamianos:
Cross-Topic Distributional Semantic Representations Via Unsupervised Mappings. 1052-1061 - Dmetri Hayes:
What just happened? Evaluating retrofitted distributional word vectors. 1062-1072 - Nelson F. Liu, Matt Gardner, Yonatan Belinkov, Matthew E. Peters, Noah A. Smith:
Linguistic Knowledge and Transferability of Contextual Representations. 1073-1094 - Karl Stratos:
Mutual Information Maximization for Simple and Accurate Part-Of-Speech Induction. 1095-1104 - Yoon Kim, Alexander M. Rush, Lei Yu, Adhiguna Kuncoro, Chris Dyer, Gábor Melis:
Unsupervised Recurrent Neural Network Grammars. 1105-1117 - Serhii Havrylov, Germán Kruszewski, Armand Joulin:
Cooperative Learning of Disjoint Syntax and Semantics. 1118-1128 - Andrew Drozdov, Patrick Verga, Mohit Yadav, Mohit Iyyer, Andrew McCallum:
Unsupervised Latent Tree Induction with Deep Inside-Outside Recursive Auto-Encoders. 1129-1141 - Angli Liu, Jingfei Du, Veselin Stoyanov:
Knowledge-Augmented Language Model and Its Application to Unsupervised Named-Entity Recognition. 1142-1150 - Meishan Zhang, Zhenghua Li, Guohong Fu, Min Zhang:
Syntax-Enhanced Neural Machine Translation with Syntax-Aware Word Representations. 1151-1161 - Emmanouil Antonios Platanios, Otilia Stretcu, Graham Neubig, Barnabás Póczos, Tom M. Mitchell:
Competence-based Curriculum Learning for Neural Machine Translation. 1162-1172 - Jiawei Wu, Xin Wang, William Yang Wang:
Extract and Edit: An Alternative to Back-Translation for Unsupervised Neural Machine Translation. 1173-1183