default search action
57th ACL 2019: Florence, Italy - Volume 1: Long Papers
- Anna Korhonen, David R. Traum, Lluís Màrquez:
Proceedings of the 57th Conference of the Association for Computational Linguistics, ACL 2019, Florence, Italy, July 28- August 2, 2019, Volume 1: Long Papers. Association for Computational Linguistics 2019, ISBN 978-1-950737-48-2 - Chongyang Tao, Wei Wu, Can Xu, Wenpeng Hu, Dongyan Zhao, Rui Yan:
One Time of Interaction May Not Be Enough: Go Deep with an Interaction-over-Interaction Network for Response Selection in Dialogues. 1-11 - Zekang Li, Cheng Niu, Fandong Meng, Yang Feng, Qian Li, Jie Zhou:
Incremental Transformer with Deliberation Decoder for Document Grounded Conversations. 12-21 - Hui Su, Xiaoyu Shen, Rongzhi Zhang, Fei Sun, Pengwei Hu, Cheng Niu, Jie Zhou:
Improving Multi-turn Dialogue Modelling with Utterance ReWriter. 22-31 - Chinnadhurai Sankar, Sandeep Subramanian, Chris Pal, Sarath Chandar, Yoshua Bengio:
Do Neural Dialog Systems Use the Conversation History Effectively? An Empirical Study. 32-37 - Wenchao Du, Alan W. Black:
Boosting Dialog Response Generation. 38-43 - Junyu Lu, Chenbin Zhang, Zeying Xie, Guang Ling, Tom Chao Zhou, Zenglin Xu:
Constructing Interpretive Spatio-Temporal Features for Multi-Turn Responses Selection. 44-50 - Ruisheng Cao, Su Zhu, Chen Liu, Jieyu Li, Kai Yu:
Semantic Parsing with Dual Learning. 51-64 - Antoine Venant, Alexander Koller:
Semantic Expressive Capacity with Bounded Memory. 65-79 - Sheng Zhang, Xutai Ma, Kevin Duh, Benjamin Van Durme:
AMR Parsing as Sequence-to-Graph Transduction. 80-94 - Peter Shaw, Philip Massey, Angelica Chen, Francesco Piccinno, Yasemin Altun:
Generating Logical Forms from Graph Representations of Text and Entities. 95-106 - Dinghan Shen, Pengyu Cheng, Dhanasekar Sundararaman, Xinyuan Zhang, Qian Yang, Meng Tang, Asli Celikyilmaz, Lawrence Carin:
Learning Compressed Sentence Representations for On-Device Text Processing. 107-116 - Agnieszka Falenska, Jonas Kuhn:
The (Non-)Utility of Structural Features in BiLSTM-based Dependency Parsers. 117-128 - Masashi Yoshikawa, Hiroshi Noji, Koji Mineshima, Daisuke Bekki:
Automatic Generation of High Quality CCGbanks for Parser Domain Adaptation. 129-139 - Genady Beryozkin, Yoel Drori, Oren Gilon, Tzvika Hartman, Idan Szpektor:
A Joint Named-Entity Recognizer for Heterogeneous Tag-sets Using a Tag Hierarchy. 140-150 - Afshin Rahimi, Yuan Li, Trevor Cohn:
Massively Multilingual Transfer for NER. 151-164 - Ying Lin, Liyuan Liu, Heng Ji, Dong Yu, Jiawei Han:
Reliability-aware Dynamic Feature Composition for Name Tagging. 165-174 - Yichong Leng, Xu Tan, Tao Qin, Xiang-Yang Li, Tie-Yan Liu:
Unsupervised Pivot Translation for Distant Languages. 175-183 - Barun Patra, Joel Ruben Antony Moniz, Sarthak Garg, Matthew R. Gormley, Graham Neubig:
Bilingual Lexicon Induction with Semi-supervision in Non-Isometric Embedding Spaces. 184-193 - Mikel Artetxe, Gorka Labaka, Eneko Agirre:
An Effective Approach to Unsupervised Machine Translation. 194-203 - Motoki Sato, Jun Suzuki, Shun Kiyono:
Effective Adversarial Regularization for Neural Machine Translation. 204-210 - Rico Sennrich, Biao Zhang:
Revisiting Low-Resource Neural Machine Translation: A Case Study. 211-221 - Danielle Saunders, Felix Stahlberg, Adrià de Gispert, Bill Byrne:
Domain Adaptive Inference for Neural Machine Translation. 222-228 - Bayu Distiawan Trisedya, Gerhard Weikum, Jianzhong Qi, Rui Zhang:
Neural Relation Extraction for Knowledge Base Enrichment. 229-240 - Zhijiang Guo, Yan Zhang, Wei Lu:
Attention Guided Graph Convolutional Networks for Relation Extraction. 241-251 - Aniruddha Maiti, Slobodan Vucetic:
Spatial Aggregation Facilitates Discovery of Spatial Topics. 252-262 - Canran Xu, Ruijiang Li:
Relation Embedding with Dihedral Group in Knowledge Graph. 263-272 - Benjamin Heinzerling, Michael Strube:
Sequence Tagging with Contextual and Non-Contextual Subword Representations: A Multilingual Evaluation. 273-291 - Tao Li, Vivek Srikumar:
Augmenting Neural Networks with First-order Logic. 292-302 - Julia Kreutzer, Stefan Riezler:
Self-Regulated Interactive Sequence-to-Sequence Learning. 303-315 - Mahtab Ahmed, Muhammad Rifayat Samee, Robert E. Mercer:
You Only Need Attention to Traverse Trees. 316-322 - Daniel Fried, Nikita Kitaev, Dan Klein:
Cross-Domain Generalization of Neural Constituency Parsers. 323-330 - Sainbayar Sukhbaatar, Edouard Grave, Piotr Bojanowski, Armand Joulin:
Adaptive Attention Span in Transformers. 331-335 - Mingxiao An, Fangzhao Wu, Chuhan Wu, Kun Zhang, Zheng Liu, Xing Xie:
Neural News Recommendation with Long- and Short-term User Representations. 336-345 - Marina Sedinkina, Nikolas Breitkopf, Hinrich Schütze:
Automatic Domain Adaptation Outperforms Manual Domain Adaptation for Predicting Financial Outcomes. 346-359 - Ji-Ung Lee, Erik Schwan, Christian M. Meyer:
Manipulating the Difficulty of C-Tests. 360-370 - Zied Haj-Yahia, Adrien Sieg, Léa A. Deleris:
Towards Unsupervised Text Classification Leveraging Experts and Word Embeddings. 371-379 - Matthew Shardlow, Raheel Nawaz:
Neural Text Simplification of Clinical Letters with a Domain Specific Phrase Table. 380-389 - Yu Qin, Yi Yang:
What You Say and How You Say It Matters: Predicting Stock Volatility Using Verbal and Vocal Cues. 390-401 - Shengli Hu:
Detecting Concealed Information in Text and Speech. 402-412 - Yi Zhang, Zachary G. Ives, Dan Roth:
Evidence-based Trustworthiness. 413-423 - Vineet John, Lili Mou, Hareesh Bahuleyan, Olga Vechtomova:
Disentangled Representation Learning for Non-Parallel Text Style Transfer. 424-434 - Shamil Chollampatt, Weiqi Wang, Hwee Tou Ng:
Cross-Sentence Grammatical Error Correction. 435-445 - Rui Zhang, Joel R. Tetreault:
This Email Could Save Your Life: Introducing the Task of Email Subject Line Generation. 446-456 - Haim Dubossarsky, Simon Hengchen, Nina Tahmasebi, Dominik Schlechtweg:
Time-Out: Temporal Referencing for Robust Modeling of Lexical Semantic Change. 457-470 - Suyang Zhu, Shoushan Li, Guodong Zhou:
Adversarial Attention Modeling for Multi-dimensional Emotion Regression. 471-480 - Sijie Mai, Haifeng Hu, Songlong Xing:
Divide, Conquer and Combine: Hierarchical Feature Fusion Network with Local and Global Perspectives for Multimodal Affective Computing. 481-492 - Katherine A. Keith, Amanda Stent:
Modeling Financial Analysts' Decision Making via the Pragmatics and Semantics of Earnings Calls. 493-503 - Ruidan He, Wee Sun Lee, Hwee Tou Ng, Daniel Dahlmeier:
An Interactive Multi-Task Learning Network for End-to-End Aspect-Based Sentiment Analysis. 504-515 - Debela Gemechu, Chris Reed:
Decompositional Argument Mining: A General Purpose Approach for Argument Graph Construction. 516-526 - Soujanya Poria, Devamanyu Hazarika, Navonil Majumder, Gautam Naik, Erik Cambria, Rada Mihalcea:
MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations. 527-536 - Minghao Hu, Yuxing Peng, Zhen Huang, Dongsheng Li, Yiwei Lv:
Open-Domain Targeted Sentiment Analysis via Span-Based Extraction and Classification. 537-546 - Zhuang Chen, Tieyun Qian:
Transfer Capsule Network for Aspect Level Sentiment Classification. 547-556 - Jialong Tang, Ziyao Lu, Jinsong Su, Yubin Ge, Linfeng Song, Le Sun, Jiebo Luo:
Progressive Self-Supervised Attention Learning for Aspect-Level Sentiment Analysis. 557-566 - Nils Reimers, Benjamin Schiller, Tilman Beck, Johannes Daxenberger, Christian Stab, Iryna Gurevych:
Classification and Clustering of Arguments with Contextualized Word Embeddings. 567-578 - Xiao Zhang, Dan Goldwasser:
Sentiment Tagging with Partial Labels using Modular Architectures. 579-590 - Huaishao Luo, Tianrui Li, Bing Liu, Junbo Zhang:
DOER: Dual Cross-Shared RNN for Aspect Term-Polarity Co-Extraction. 591-601 - Esin Durmus, Claire Cardie:
A Corpus for Modeling User and Language Effects in Argumentation on Online Debating. 602-607 - Sheng Xu, Peifeng Li, Fang Kong, Qiaoming Zhu, Guodong Zhou:
Topic Tensor Network for Implicit Discourse Relation Recognition in Chinese. 608-618 - Bill McDowell, Noah D. Goodman:
Learning from Omission. 619-628 - Youmna Farag, Helen Yannakoudakis:
Multi-Task Learning for Coherence Modeling. 629-639 - Sonia Badene, Kate Thompson, Jean-Pierre Lorré, Nicholas Asher:
Data Programming for Learning Discourse Structure. 640-645 - Elisa Ferracane, Greg Durrett, Junyi Jessy Li, Katrin Erk:
Evaluating Discourse in Structured Text Representations. 646-653 - Sina Zarrieß, David Schlangen:
Know What You Don't Know: Modeling a Pragmatic Speaker that Refers to Objects of Unknown Categories. 654-659 - Hongliang Fei, Xu Li, Dingcheng Li, Ping Li:
End-to-end Deep Reinforcement Learning Based Coreference Resolution. 660-665 - Mingyu Derek Ma, Kevin Bowden, JiaQi Wu, Wen Cui, Marilyn A. Walker:
Implicit Discourse Relation Identification for Open-domain Dialogues. 666-672 - Ben Kantor, Amir Globerson:
Coreference Resolution with Entity Equalization. 673-677 - Peng Xu, Hamidreza Saghir, Jin Sung Kang, Teng Long, Avishek Joey Bose, Yanshuai Cao, Jackie Chi Kit Cheung:
A Cross-Domain Transferable Neural Coherence Model. 678-687 - Andrei M. Butnaru, Radu Tudor Ionescu:
MOROCO: The Moldavian and Romanian Dialectal Corpus. 688-698 - Bianca Scarlini, Tommaso Pasini, Roberto Navigli:
Just "OneSeC" for Producing Multilingual Sense-Annotated Data. 699-709 - Goran Glavas, Robert Litschko, Sebastian Ruder, Ivan Vulic:
How to (Properly) Evaluate Cross-Lingual Word Embeddings: On Strong Baselines, Comparative Analyses, and Some Misconceptions. 710-721 - Hongming Zhang, Hantian Ding, Yangqiu Song:
SP-10K: A Large-scale Evaluation Set for Selectional Preference Acquisition. 722-731 - Dominik Schlechtweg, Anna Hätty, Marco Del Tredici, Sabine Schulte im Walde:
A Wind of Change: Detecting and Evaluating Lexical Semantic Change across Times and Domains. 732-746 - Tongshuang Wu, Marco Túlio Ribeiro, Jeffrey Heer, Daniel S. Weld:
Errudite: Scalable, Reproducible, and Testable Error Analysis. 747-763 - Yuan Yao, Deming Ye, Peng Li, Xu Han, Yankai Lin, Zhenghao Liu, Zhiyuan Liu, Lixin Huang, Jie Zhou, Maosong Sun:
DocRED: A Large-Scale Document-Level Relation Extraction Dataset. 764-777 - Chujie Zheng, Minlie Huang, Aixin Sun:
ChID: A Large-scale Chinese IDiom Dataset for Cloze Test. 778-787 - Jeffrey Lund, Piper Armstrong, Wilson Fearn, Stephen Cowley, Courtni Byun, Jordan L. Boyd-Graber, Kevin D. Seppi:
Automatic Evaluation of Local Topic Quality. 788-796 - Chris Madge, Juntao Yu, Jon Chamberlain, Udo Kruschwitz, Silviu Paun, Massimo Poesio:
Crowdsourcing and Aggregating Nested Markable Annotations. 797-807 - Chien-Sheng Wu, Andrea Madotto, Ehsan Hosseini-Asl, Caiming Xiong, Richard Socher, Pascale Fung:
Transferable Multi-Domain State Generator for Task-Oriented Dialogue Systems. 808-819 - Shiva Pentyala, Mengwen Liu, Markus Dreyer:
Multi-Task Networks with Universe, Group, and Task Feature Learning. 820-830 - Anusha Balakrishnan, Jinfeng Rao, Kartikeya Upasani, Michael White, Rajen Subba:
Constrained Decoding for Neural NLG from Compositional Representations in Task-Oriented Dialogue. 831-844 - Seungwhan Moon, Pararth Shah, Anuj Kumar, Rajen Subba:
OpenDialKG: Explainable Conversational Reasoning with Attention-based Walks over Knowledge Graphs. 845-854 - Daya Guo, Duyu Tang, Nan Duan, Ming Zhou, Jian Yin:
Coupling Retrieval and Meta-Learning for Context-Dependent Semantic Parsing. 855-866 - Hongming Zhang, Yan Song, Yangqiu Song, Dong Yu:
Knowledge-aware Pronoun Coreference Resolution. 867-876 - Yonatan Belinkov, Adam Poliak, Stuart M. Shieber, Benjamin Van Durme, Alexander M. Rush:
Don't Take the Premise for Granted: Mitigating Artifacts in Natural Language Inference. 877-891 - Jie Zhou, Xu Han, Cheng Yang, Zhiyuan Liu, Lifeng Wang, Changcheng Li, Maosong Sun:
GEAR: Graph-based Evidence Aggregating and Reasoning for Fact Verification. 892-901 - Martin Schmitt, Hinrich Schütze:
SherLIiC: A Typed Event-Focused Lexical Inference Benchmark for Evaluating Natural Language Inference. 902-914 - Nan Du, Kai Chen, Anjuli Kannan, Linh Tran, Yuhui Chen, Izhak Shafran:
Extracting Symptoms and their Status from Clinical Conversations. 915-925 - Verónica Pérez-Rosas, Xinyi Wu, Kenneth Resnicow, Rada Mihalcea:
What Makes a Good Counselor? Learning to Distinguish between High-quality and Low-quality Counseling Conversations. 926-935 - Justine Zhang, Robert Filbin, Christine Morrison, Jaclyn Weiser, Cristian Danescu-Niculescu-Mizil:
Finding Your Voice: The Linguistic Development of Mental Health Counselors. 946-947 - Jeanne E. Daniel, Willie Brink, Ryan Eloff, Charles Copley:
Towards Automating Healthcare Question Answering in a Noisy Multilingual Low-Resource Setting. 948-953 - Parminder Bhatia, Busra Celikkaya, Mohammed Khalilia:
Joint Entity Extraction and Assertion Detection for Clinical Text. 954-959 - David Vilares, Carlos Gómez-Rodríguez:
HEAD-QA: A Healthcare Dataset for Complex Reasoning. 960-966 - Martin Gleize, Eyal Shnarch, Leshem Choshen, Lena Dankin, Guy Moshkowich, Ranit Aharonov, Noam Slonim:
Are You Convinced? Choosing the More Convincing Evidence with a Siamese Network. 967-976 - Roy Bar-Haim, Dalia Krieger, Orith Toledo-Ronen, Lilach Edelstein, Yonatan Bilu, Alon Halfon, Yoav Katz, Amir Menczel, Ranit Aharonov, Noam Slonim:
From Surrogacy to Adoption; From Bitcoin to Cryptocurrency: Debate Topic Expansion. 977-990 - Gustavo Aguilar, Viktor Rozgic, Weiran Wang, Chao Wang:
Multimodal and Multi-view Models for Emotion Recognition. 991-1002 - Rui Xia, Zixiang Ding:
Emotion-Cause Pair Extraction: A New Task to Emotion Analysis in Texts. 1003-1012 - Yonatan Bilu, Ariel Gera, Daniel Hershcovich, Benjamin Sznajder, Dan Lahav, Guy Moshkowich, Anael Malet, Assaf Gavron, Noam Slonim:
Argument Invention from First Principles. 1013-1026 - Sangwoo Cho, Logan Lebanoff, Hassan Foroosh, Fei Liu:
Improving the Similarity Measure of Determinantal Point Processes for Extractive Multi-Document Summarization. 1027-1038 - Takuya Makino, Tomoya Iwakura, Hiroya Takamura, Manabu Okumura:
Global Optimization under Length Constraint for Neural Text Summarization. 1039-1048 - Ming Zhong, Pengfei Liu, Danqing Wang, Xipeng Qiu, Xuanjing Huang:
Searching for Effective Neural Extractive Summarization: What Works and What's Next. 1049-1058 - Maxime Peyrard:
A Simple Theoretical Model of Importance for Summarization. 1059-1073 - Alexander R. Fabbri, Irene Li, Tianwei She, Suyi Li, Dragomir R. Radev:
Multi-News: A Large-Scale Multi-Document Summarization Dataset and Abstractive Hierarchical Model. 1074-1084 - Shuhuai Ren, Yihe Deng, Kun He, Wanxiang Che:
Generating Natural Language Adversarial Examples through Probability Weighted Word Saliency. 1085-1097 - Janek Bevendorff, Martin Potthast, Matthias Hagen, Benno Stein:
Heuristic Authorship Obfuscation. 1098-1108 - Kazuya Shimura, Jiyi Li, Fumiyo Fukumoto:
Text Categorization by Learning Predominant Sense of Words as Auxiliary Task. 1109-1119 - Tirthankar Ghosal, Rajeev Verma, Asif Ekbal, Pushpak Bhattacharyya:
DeepSentiPeer: Harnessing Sentiment in Review Texts to Recommend Peer Review Decisions. 1120-1130 - Suyoun Kim, Siddharth Dalmia, Florian Metze:
Gated Embeddings in End-to-End Speech Recognition for Conversational-Context Fusion. 1131-1141 - Adith Iyer, Aditya Joshi, Sarvnaz Karimi, Ross Sparks, Cécile Paris:
Figurative Usage Detection of Symptom Words to Improve Personal Health Mention Detection. 1142-1147 - Sian Gooding, Ekaterina Kochmar:
Complex Word Identification as a Sequence Labelling Task. 1148-1153 - Chuhan Wu, Fangzhao Wu, Mingxiao An, Yongfeng Huang, Xing Xie:
Neural News Recommendation with Topic-Aware News Representation. 1154-1159 - Amrith Krishna, Vishnu Dutt Sharma, Bishal Santra, Aishik Chakraborty, Pavankumar Satuluri, Pawan Goyal:
Poetry to Prose Conversion in Sanskrit as a Linearisation Task: A Case for Low-Resource Languages. 1160-1166 - Amirreza Shirani, Franck Dernoncourt, Paul Asente, Nedim Lipka, Seokhwan Kim, Jose Echevarria, Thamar Solorio:
Learning Emphasis Selection for Written Text in Visual Media from Crowd-Sourced Label Distributions. 1167-1172 - Quanzhi Li, Qiong Zhang, Luo Si:
Rumor Detection by Exploiting User Credibility Information, Attention and Multi-task Learning. 1173-1179 - Saeideh Shahrokh Esfahani, Michael J. Cafarella, Maziyar Baran Pouyan, Gregory J. DeAngelo, Elena Eneva, Andy E. Fano:
Context-specific Language Modeling for Human Trafficking Detection from Online Advertisements. 1180-1184 - Matthias Sperber, Graham Neubig, Ngoc-Quan Pham, Alex Waibel:
Self-Attentional Models for Lattice Inputs. 1185-1197 - Elena Voita, Rico Sennrich, Ivan Titov:
When a Good Translation is Wrong in Context: Context-Aware Machine Translation Improves on Deixis, Ellipsis, and Lexical Cohesion. 1198-1212 - Yining Wang, Long Zhou, Jiajun Zhang, Feifei Zhai, Jingfang Xu, Chengqing Zong:
A Compact and Language-Sensitive Multilingual Translation Method. 1213-1223 - Viktor Hangya, Alexander M. Fraser:
Unsupervised Parallel Sentence Extraction with Parallel Segment Detection Helps Machine Translation. 1224-1234 - Haipeng Sun, Rui Wang, Kehai Chen, Masao Utiyama, Eiichiro Sumita, Tiejun Zhao:
Unsupervised Bilingual Word Embedding Agreement for Unsupervised Neural Machine Translation. 1235-1245