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56th ACL 2018: Melbourne, Australia - Volume 1: Long Papers
- Iryna Gurevych, Yusuke Miyao:
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, ACL 2018, Melbourne, Australia, July 15-20, 2018, Volume 1: Long Papers. Association for Computational Linguistics 2018, ISBN 978-1-948087-32-2 - Ben Athiwaratkun, Andrew Gordon Wilson, Anima Anandkumar:
Probabilistic FastText for Multi-Sense Word Embeddings. 1-11 - Mikhail Khodak, Nikunj Saunshi, Yingyu Liang, Tengyu Ma, Brandon Stewart, Sanjeev Arora:
A La Carte Embedding: Cheap but Effective Induction of Semantic Feature Vectors. 12-22 - Shoaib Jameel, Zied Bouraoui, Steven Schockaert:
Unsupervised Learning of Distributional Relation Vectors. 23-33 - Goran Glavas, Ivan Vulic:
Explicit Retrofitting of Distributional Word Vectors. 34-45 - Zhen Yang, Wei Chen, Feng Wang, Bo Xu:
Unsupervised Neural Machine Translation with Weight Sharing. 46-55 - Shuo Ren, Wenhu Chen, Shujie Liu, Mu Li, Ming Zhou, Shuai Ma:
Triangular Architecture for Rare Language Translation. 56-65 - Taku Kudo:
Subword Regularization: Improving Neural Network Translation Models with Multiple Subword Candidates. 66-75 - Mia Xu Chen, Orhan Firat, Ankur Bapna, Melvin Johnson, Wolfgang Macherey, George F. Foster, Llion Jones, Mike Schuster, Noam Shazeer, Niki Parmar, Ashish Vaswani, Jakob Uszkoreit, Lukasz Kaiser, Zhifeng Chen, Yonghui Wu, Macduff Hughes:
The Best of Both Worlds: Combining Recent Advances in Neural Machine Translation. 76-86 - Eunsol Choi, Omer Levy, Yejin Choi, Luke Zettlemoyer:
Ultra-Fine Entity Typing. 87-96 - Shikhar Murty, Patrick Verga, Luke Vilnis, Irena Radovanovic
, Andrew McCallum:
Hierarchical Losses and New Resources for Fine-grained Entity Typing and Linking. 97-109 - Boyang Ding, Quan Wang, Bin Wang, Li Guo:
Improving Knowledge Graph Embedding Using Simple Constraints. 110-121 - Chandrahas, Aditya Sharma, Partha P. Talukdar:
Towards Understanding the Geometry of Knowledge Graph Embeddings. 122-131 - Wan Ting Hsu, Chieh-Kai Lin, Ming-Ying Lee, Kerui Min, Jing Tang, Min Sun:
A Unified Model for Extractive and Abstractive Summarization using Inconsistency Loss. 132-141 - Aishwarya Jadhav, Vaibhav Rajan
Extractive Summarization with SWAP-NET: Sentences and Words from Alternating Pointer Networks. 142-151 - Ziqiang Cao, Wenjie Li, Sujian Li, Furu Wei:
Retrieve, Rerank and Rewrite: Soft Template Based Neural Summarization. 152-161 - Elior Sulem, Omri Abend
Simple and Effective Text Simplification Using Semantic and Neural Methods. 162-173 - Saif M. Mohammad:
Obtaining Reliable Human Ratings of Valence, Arousal, and Dominance for 20, 000 English Words. 174-184 - Nathan Schneider, Jena D. Hwang, Vivek Srikumar, Jakob Prange
Comprehensive Supersense Disambiguation of English Prepositions and Possessives. 185-196 - Benjamin E. Nye, Junyi Jessy Li, Roma Patel, Yinfei Yang, Iain James Marshall, Ani Nenkova, Byron C. Wallace:
A Corpus with Multi-Level Annotations of Patients, Interventions and Outcomes to Support Language Processing for Medical Literature. 197-207 - Keisuke Sakaguchi, Benjamin Van Durme:
Efficient Online Scalar Annotation with Bounded Support. 208-218 - Xinyu Hua, Lu Wang:
Neural Argument Generation Augmented with Externally Retrieved Evidence. 219-230 - Martin Potthast, Johannes Kiesel, Kevin Reinartz, Janek Bevendorff, Benno Stein:
A Stylometric Inquiry into Hyperpartisan and Fake News. 231-240 - Henning Wachsmuth, Shahbaz Syed, Benno Stein:
Retrieval of the Best Counterargument without Prior Topic Knowledge. 241-251 - Rakshit Trivedi, Bunyamin Sisman, Xin Luna Dong, Christos Faloutsos, Jun Ma, Hongyuan Zha:
LinkNBed: Multi-Graph Representation Learning with Entity Linkage. 252-262 - Luke Vilnis, Xiang Li, Shikhar Murty, Andrew McCallum:
Probabilistic Embedding of Knowledge Graphs with Box Lattice Measures. 263-272 - Daniel Beck, Gholamreza Haffari, Trevor Cohn:
Graph-to-Sequence Learning using Gated Graph Neural Networks. 273-283 - Urvashi Khandelwal, He He, Peng Qi, Dan Jurafsky:
Sharp Nearby, Fuzzy Far Away: How Neural Language Models Use Context. 284-294 - Roy Schwartz, Sam Thomson, Noah A. Smith:
Bridging CNNs, RNNs, and Weighted Finite-State Machines. 295-305 - Shashank Srivastava, Igor Labutov, Tom M. Mitchell:
Zero-shot Learning of Classifiers from Natural Language Quantification. 306-316 - Yue Zhang, Qi Liu, Linfeng Song:
Sentence-State LSTM for Text Representation. 317-327 - Jeremy Howard, Sebastian Ruder:
Universal Language Model Fine-tuning for Text Classification. 328-339 - Nina Pörner, Hinrich Schütze, Benjamin Roth:
Evaluating neural network explanation methods using hybrid documents and morphosyntactic agreement. 340-350 - Catherine Finegan-Dollak
Improving Text-to-SQL Evaluation Methodology. 351-360 - Yibo Sun
Semantic Parsing with Syntax- and Table-Aware SQL Generation. 361-372 - Daniel Hershcovich, Omri Abend
Multitask Parsing Across Semantic Representations. 373-385 - Gözde Gül Sahin
Character-Level Models versus Morphology in Semantic Role Labeling. 386-396 - Chunchuan Lyu, Ivan Titov:
AMR Parsing as Graph Prediction with Latent Alignment. 397-407 - Yufei Chen, Weiwei Sun, Xiaojun Wan:
Accurate SHRG-Based Semantic Parsing. 408-418 - Danqing Huang, Jin-Ge Yao, Chin-Yew Lin, Qingyu Zhou
Using Intermediate Representations to Solve Math Word Problems. 419-428 - Jiangming Liu, Shay B. Cohen, Mirella Lapata:
Discourse Representation Structure Parsing. 429-439 - Dinghan Shen, Guoyin Wang, Wenlin Wang, Martin Renqiang Min
Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms. 440-450 - John Wieting, Kevin Gimpel:
ParaNMT-50M: Pushing the Limits of Paraphrastic Sentence Embeddings with Millions of Machine Translations. 451-462 - Hannah Rashkin, Maarten Sap, Emily Allaway, Noah A. Smith, Yejin Choi:
Event2Mind: Commonsense Inference on Events, Intents, and Reactions. 463-473 - Shuhei Kurita, Daisuke Kawahara, Sadao Kurohashi:
Neural Adversarial Training for Semi-supervised Japanese Predicate-argument Structure Analysis. 474-484 - Prafulla Kumar Choubey, Ruihong Huang:
Improving Event Coreference Resolution by Modeling Correlations between Event Coreference Chains and Document Topic Structures. 485-495 - Pengda Qin, Weiran Xu, William Yang Wang:
DSGAN: Generative Adversarial Training for Distant Supervision Relation Extraction. 496-505 - Xiangrong Zeng, Daojian Zeng, Shizhu He, Kang Liu, Jun Zhao:
Extracting Relational Facts by an End-to-End Neural Model with Copy Mechanism. 506-514 - Yu Hong, Wenxuan Zhou, Jingli Zhang, Qiaoming Zhu, Guodong Zhou:
Self-regulation: Employing a Generative Adversarial Network to Improve Event Detection. 515-526 - Yuanliang Meng, Anna Rumshisky:
Context-Aware Neural Model for Temporal Information Extraction. 527-536 - Wenlin Yao, Ruihong Huang:
Temporal Event Knowledge Acquisition via Identifying Narratives. 537-547 - Laurent Vanni, Mélanie Ducoffe, Carlos Aguilar, Frédéric Precioso, Damon Mayaffre:
Textual Deconvolution Saliency (TDS) : a deep tool box for linguistic analysis. 548-557 - Tasnim Mohiuddin, Shafiq R. Joty, Dat Tien Nguyen:
Coherence Modeling of Asynchronous Conversations: A Neural Entity Grid Approach. 558-568 - Qingyu Yin, Yu Zhang, Weinan Zhang, Ting Liu, William Yang Wang:
Deep Reinforcement Learning for Chinese Zero Pronoun Resolution. 569-578 - Tomohide Shibata, Sadao Kurohashi:
Entity-Centric Joint Modeling of Japanese Coreference Resolution and Predicate Argument Structure Analysis. 579-589 - John Torr:
Constraining MGbank: Agreement, L-Selection and Supertagging in Minimalist Grammars. 590-600 - Yang Xu, Jeremy R. Cole, David Reitter:
Not that much power: Linguistic alignment is influenced more by low-level linguistic features rather than social power. 601-610 - Alexander R. Fabbri, Irene Li, Prawat Trairatvorakul, Yijiao He, Wei Tai Ting, Robert Tung, Caitlin Westerfield, Dragomir R. Radev:
TutorialBank: A Manually-Collected Corpus for Prerequisite Chains, Survey Extraction and Resource Recommendation. 611-620 - Winston Carlile, Nishant Gurrapadi, Zixuan Ke, Vincent Ng:
Give Me More Feedback: Annotating Argument Persuasiveness and Related Attributes in Student Essays. 621-631 - Leshem Choshen, Omri Abend
Inherent Biases in Reference-based Evaluation for Grammatical Error Correction. 632-642 - Arun Tejasvi Chaganty, Stephen Mussmann, Percy Liang:
The price of debiasing automatic metrics in natural language evalaution. 643-653 - Qingyu Zhou
Neural Document Summarization by Jointly Learning to Score and Select Sentences. 654-663 - Guokan Shang, Wensi Ding, Zekun Zhang, Antoine J.-P. Tixier, Polykarpos Meladianos, Michalis Vazirgiannis, Jean-Pierre Lorré:
Unsupervised Abstractive Meeting Summarization with Multi-Sentence Compression and Budgeted Submodular Maximization. 664-674 - Yen-Chun Chen, Mohit Bansal:
Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting. 675-686 - Han Guo, Ramakanth Pasunuru, Mohit Bansal:
Soft Layer-Specific Multi-Task Summarization with Entailment and Question Generation. 687-697 - Gerardo Ocampo Diaz, Vincent Ng:
Modeling and Prediction of Online Product Review Helpfulness: A Survey. 698-708 - Bill Y. Lin, Frank F. Xu, Kenny Q. Zhu, Seung-won Hwang:
Mining Cross-Cultural Differences and Similarities in Social Media. 709-719 - Kristen Johnson, Dan Goldwasser:
Classification of Moral Foundations in Microblog Political Discourse. 720-730 - Li Dong, Mirella Lapata:
Coarse-to-Fine Decoding for Neural Semantic Parsing. 731-742 - Li Dong, Chris Quirk, Mirella Lapata:
Confidence Modeling for Neural Semantic Parsing. 743-753 - Pengcheng Yin, Chunting Zhou, Junxian He
StructVAE: Tree-structured Latent Variable Models for Semi-supervised Semantic Parsing. 754-765 - Bo Chen, Le Sun, Xianpei Han:
Sequence-to-Action: End-to-End Semantic Graph Generation for Semantic Parsing. 766-777 - Anders Søgaard, Sebastian Ruder, Ivan Vulic:
On the Limitations of Unsupervised Bilingual Dictionary Induction. 778-788 - Mikel Artetxe, Gorka Labaka, Eneko Agirre:
A robust self-learning method for fully unsupervised cross-lingual mappings of word embeddings. 789-798 - Ying Lin, Shengqi Yang, Veselin Stoyanov, Heng Ji:
A Multi-lingual Multi-task Architecture for Low-resource Sequence Labeling. 799-809 - Viktor Hangya
Two Methods for Domain Adaptation of Bilingual Tasks: Delightfully Simple and Broadly Applicable. 810-820 - Todor Mihaylov, Anette Frank:
Knowledgeable Reader: Enhancing Cloze-Style Reading Comprehension with External Commonsense Knowledge. 821-832 - Igor Labutov, Bishan Yang, Anusha Prakash, Amos Azaria
Multi-Relational Question Answering from Narratives: Machine Reading and Reasoning in Simulated Worlds. 833-844 - Christopher Clark, Matt Gardner:
Simple and Effective Multi-Paragraph Reading Comprehension. 845-855 - Marco Túlio Ribeiro, Sameer Singh, Carlos Guestrin:
Semantically Equivalent Adversarial Rules for Debugging NLP models. 856-865 - Shrimai Prabhumoye, Yulia Tsvetkov, Ruslan Salakhutdinov, Alan W. Black:
Style Transfer Through Back-Translation. 866-876 - Rajarshi Bhowmik, Gerard de Melo:
Generating Fine-Grained Open Vocabulary Entity Type Descriptions. 877-888 - Angela Fan, Mike Lewis, Yann N. Dauphin:
Hierarchical Neural Story Generation. 889-898 - Xin Wang
No Metrics Are Perfect: Adversarial Reward Learning for Visual Storytelling. 899-909 - Guy Rotman, Ivan Vulic, Roi Reichart:
Bridging Languages through Images with Deep Partial Canonical Correlation Analysis. 910-921 - Jamie Ryan Kiros, William Chan, Geoffrey E. Hinton:
Illustrative Language Understanding: Large-Scale Visual Grounding with Image Search. 922-933 - Qiaozi Gao, Shaohua Yang, Joyce Yue Chai, Lucy Vanderwende:
What Action Causes This? Towards Naive Physical Action-Effect Prediction. 934-945 - Xin Li, Lidong Bing, Wai Lam, Bei Shi:
Transformation Networks for Target-Oriented Sentiment Classification. 946-956 - Shuai Wang, Sahisnu Mazumder, Bing Liu, Mianwei Zhou, Yi Chang
Target-Sensitive Memory Networks for Aspect Sentiment Classification. 957-967 - Raksha Sharma, Pushpak Bhattacharyya, Sandipan Dandapat, Himanshu Sharad Bhatt:
Identifying Transferable Information Across Domains for Cross-domain Sentiment Classification. 968-978 - Jingjing Xu, Xu Sun, Qi Zeng
Unpaired Sentiment-to-Sentiment Translation: A Cycled Reinforcement Learning Approach. 979-988 - Boyuan Pan, Yazheng Yang
Discourse Marker Augmented Network with Reinforcement Learning for Natural Language Inference. 989-999 - Juan Pavez, Héctor Allende, Héctor Allende-Cid:
Working Memory Networks: Augmenting Memory Networks with a Relational Reasoning Module. 1000-1009 - Yi Tay, Anh Tuan Luu, Siu Cheung Hui, Jian Su
Reasoning with Sarcasm by Reading In-Between. 1010-1020 - Avishek Joey Bose, Huan Ling, Yanshuai Cao:
Adversarial Contrastive Estimation. 1021-1032 - Hongyu Lin, Yaojie Lu, Xianpei Han, Le Sun:
Adaptive Scaling for Sparse Detection in Information Extraction. 1033-1043 - Sebastian Ruder, Barbara Plank:
Strong Baselines for Neural Semi-Supervised Learning under Domain Shift. 1044-1054 - Tao Ge, Furu Wei, Ming Zhou:
Fluency Boost Learning and Inference for Neural Grammatical Error Correction. 1055-1065 - Pengtao Xie, Haoran Shi, Ming Zhang, Eric P. Xing:
A Neural Architecture for Automated ICD Coding. 1066-1076 - Firoj Alam, Shafiq R. Joty, Muhammad Imran:
Domain Adaptation with Adversarial Training and Graph Embeddings. 1077-1087 - Cancan Jin, Ben He, Kai Hui
TDNN: A Two-stage Deep Neural Network for Prompt-independent Automated Essay Scoring. 1088-1097 - Tiancheng Zhao, Kyusong Lee, Maxine Eskénazi:
Unsupervised Discrete Sentence Representation Learning for Interpretable Neural Dialog Generation. 1098-1107 - Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Jun Xu
Learning to Control the Specificity in Neural Response Generation. 1108-1117 - Xiangyang Zhou, Lu Li, Daxiang Dong, Yi Liu, Ying Chen, Wayne Xin Zhao, Dianhai Yu, Hua Wu:
Multi-Turn Response Selection for Chatbots with Deep Attention Matching Network. 1118-1127 - Xianda Zhou, William Yang Wang:
MojiTalk: Generating Emotional Responses at Scale. 1128-1137 - Tatsuru Kobayashi, Kumiko Tanaka-Ishii
Taylor's law for Human Linguistic Sequences. 1138-1148 - Jordan Kodner
A Framework for Representing Language Acquisition in a Population Setting. 1149-1159 - Logan Born, Anoop Sarkar:
Prefix Lexicalization of Synchronous CFGs using Synchronous TAG. 1160-1170 - Yikang Shen, Zhouhan Lin, Athul Paul Jacob, Alessandro Sordoni, Aaron C. Courville, Yoshua Bengio:
Straight to the Tree: Constituency Parsing with Neural Syntactic Distance. 1171-1180 - Yanpeng Zhao, Liwen Zhang, Kewei Tu:
Gaussian Mixture Latent Vector Grammars. 1181-1189 - Vidur Joshi, Matthew E. Peters, Mark Hopkins:
Extending a Parser to Distant Domains Using a Few Dozen Partially Annotated Examples. 1190-1199 - Vered Shwartz, Ido Dagan:
Paraphrase to Explicate: Revealing Implicit Noun-Compound Relations. 1200-1211 - Maksim Tkachenko, Chong Cher Chia, Hady W. Lauw
Searching for the X-Factor: Exploring Corpus Subjectivity for Word Embeddings. 1212-1221 - Rui Mao, Chenghua Lin, Frank Guerin:
Word Embedding and WordNet Based Metaphor Identification and Interpretation. 1222-1231 - Yang Xu, Jiawei Liu, Wei Yang, Liusheng Huang:
Incorporating Latent Meanings of Morphological Compositions to Enhance Word Embeddings. 1232-1242 - Philip Schulz, Wilker Aziz
A Stochastic Decoder for Neural Machine Translation. 1243-1252 - Chunpeng Ma, Akihiro Tamura, Masao Utiyama, Tiejun Zhao, Eiichiro Sumita:
Forest-Based Neural Machine Translation. 1253-1263 - Elena Voita, Pavel Serdyukov, Rico Sennrich, Ivan Titov:
Context-Aware Neural Machine Translation Learns Anaphora Resolution. 1264-1274 - Sameen Maruf, Gholamreza Haffari:
Document Context Neural Machine Translation with Memory Networks. 1275-1284 - Milan Gritta, Mohammad Taher Pilehvar, Nigel Collier:
Which Melbourne? Augmenting Geocoding with Maps. 1285-1296 - Tianyu Jiang, Ellen Riloff:
Learning Prototypical Goal Activities for Locations. 1297-1307 - Yang Li, Bo Zhao, Ariel Fuxman, Fangbo Tao:
Guess Me if You Can: Acronym Disambiguation for Enterprises. 1308-1317 - Qiang Ning, Hao Wu, Dan Roth:
A Multi-Axis Annotation Scheme for Event Temporal Relations. 1318-1328 - Gaurav Pandey, Danish Contractor, Vineet Kumar, Sachindra Joshi:
Exemplar Encoder-Decoder for Neural Conversation Generation. 1329-1338 - Izzeddin Gur, Semih Yavuz, Yu Su, Xifeng Yan:
DialSQL: Dialogue Based Structured Query Generation. 1339-1349 - Justine Zhang, Jonathan P. Chang
Conversations Gone Awry: Detecting Early Signs of Conversational Failure. 1350-1361 - Ondrej Cífka, Ondrej Bojar:
Are BLEU and Meaning Representation in Opposition? 1362-1371 - Leshem Choshen, Omri Abend
Automatic Metric Validation for Grammatical Error Correction. 1372-1382 - Rotem Dror, Gili Baumer, Segev Shlomov, Roi Reichart:
The Hitchhiker's Guide to Testing Statistical Significance in Natural Language Processing. 1383-1392 - Yijia Liu, Wanxiang Che, Huaipeng Zhao, Bing Qin, Ting Liu:
Distilling Knowledge for Search-based Structured Prediction. 1393-1402 - Xuezhe Ma, Zecong Hu
Stack-Pointer Networks for Dependency Parsing. 1403-1414 - Su Lin Blodgett, Johnny Wei, Brendan T. O'Connor:
Twitter Universal Dependency Parsing for African-American and Mainstream American English. 1415-1425 - Adhiguna Kuncoro, Chris Dyer, John Hale, Dani Yogatama, Stephen Clark, Phil Blunsom:
LSTMs Can Learn Syntax-Sensitive Dependencies Well, But Modeling Structure Makes Them Better. 1426-1436 - Wenqiang Lei, Xisen Jin, Min-Yen Kan, Zhaochun Ren, Xiangnan He, Dawei Yin:
Sequicity: Simplifying Task-oriented Dialogue Systems with Single Sequence-to-Sequence Architectures. 1437-1447 - Puyang Xu, Qi Hu:
An End-to-end Approach for Handling Unknown Slot Values in Dialogue State Tracking. 1448-1457 - Victor Zhong, Caiming Xiong, Richard Socher:
Global-Locally Self-Attentive Encoder for Dialogue State Tracking. 1458-1467 - Andrea Madotto, Chien-Sheng Wu, Pascale Fung:
Mem2Seq: Effectively Incorporating Knowledge Bases into End-to-End Task-Oriented Dialog Systems. 1468-1478 - Hainan Zhang, Yanyan Lan, Jiafeng Guo, Jun Xu
Tailored Sequence to Sequence Models to Different Conversation Scenarios. 1479-1488 - Shuman Liu, Hongshen Chen, Zhaochun Ren, Yang Feng, Qun Liu, Dawei Yin:
Knowledge Diffusion for Neural Dialogue Generation. 1489-1498 - Pei Ke, Jian Guan, Minlie Huang, Xiaoyan Zhu:
Generating Informative Responses with Controlled Sentence Function. 1499-1508 - Weiyan Shi
Sentiment Adaptive End-to-End Dialog Systems. 1509-1519 - Philipp Dufter, Mengjie Zhao
Embedding Learning Through Multilingual Concept Induction. 1520-1530 - Edoardo Maria Ponti, Roi Reichart, Anna Korhonen, Ivan Vulic:
Isomorphic Transfer of Syntactic Structures in Cross-Lingual NLP. 1531-1542 - Adithya Pratapa, Gayatri Bhat, Monojit Choudhury, Sunayana Sitaram, Sandipan Dandapat, Kalika Bali:
Language Modeling for Code-Mixing: The Role of Linguistic Theory based Synthetic Data. 1543-1553 - Yue Zhang, Jie Yang:
Chinese NER Using Lattice LSTM. 1554-1564 - Hongyu Lin, Yaojie Lu, Xianpei Han, Le Sun:
Nugget Proposal Networks for Chinese Event Detection. 1565-1574 - Madhav Nimishakavi, Manish Gupta, Partha P. Talukdar:
Higher-order Relation Schema Induction using Tensor Factorization with Back-off and Aggregation. 1575-1584 - Michael R. Glass, Alfio Gliozzo
Discovering Implicit Knowledge with Unary Relations. 1585-1594 - Phong Le, Ivan Titov:
Improving Entity Linking by Modeling Latent Relations between Mentions. 1595-1604 - Shikhar Vashishth, Shib Sankar Dasgupta, Swayambhu Nath Ray, Partha P. Talukdar:
Dating Documents using Graph Convolution Networks. 1605-1615 - Linfeng Song, Yue Zhang, Zhiguo Wang, Daniel Gildea:
A Graph-to-Sequence Model for AMR-to-Text Generation. 1616-1626 - Bayu Distiawan Trisedya, Jianzhong Qi, Rui Zhang, Wei Wang:
GTR-LSTM: A Triple Encoder for Sentence Generation from RDF Data. 1627-1637 - Ari Holtzman, Jan Buys
Learning to Write with Cooperative Discriminators. 1638-1649 - Zhiwei Yu, Jiwei Tan, Xiaojun Wan:
A Neural Approach to Pun Generation. 1650-1660 - Harsh Jhamtani, Varun Gangal, Eduard H. Hovy, Graham Neubig, Taylor Berg-Kirkpatrick:
Learning to Generate Move-by-Move Commentary for Chess Games from Large-Scale Social Forum Data. 1661-1671 - Zihang Dai, Qizhe Xie, Eduard H. Hovy:
From Credit Assignment to Entropy Regularization: Two New Algorithms for Neural Sequence Prediction. 1672-1682 - Amrita Saha, Rahul Aralikatte, Mitesh M. Khapra, Karthik Sankaranarayanan:
DuoRC: Towards Complex Language Understanding with Paraphrased Reading Comprehension. 1683-1693 - Xiaodong Liu, Yelong Shen, Kevin Duh, Jianfeng Gao:
Stochastic Answer Networks for Machine Reading Comprehension. 1694-1704 - Wei Wang, Chen Wu, Ming Yan:
Multi-Granularity Hierarchical Attention Fusion Networks for Reading Comprehension and Question Answering. 1705-1714 - Zhen Wang, Jiachen Liu, Xinyan Xiao, Yajuan Lyu, Tian Wu:
Joint Training of Candidate Extraction and Answer Selection for Reading Comprehension. 1715-1724 - Sewon Min, Victor Zhong, Richard Socher, Caiming Xiong:
Efficient and Robust Question Answering from Minimal Context over Documents. 1725-1735 - Yankai Lin
Denoising Distantly Supervised Open-Domain Question Answering. 1736-1745 - Wei Wu, Xu Sun, Houfeng Wang:
Question Condensing Networks for Answer Selection in Community Question Answering. 1746-1755 - Yong Cheng, Zhaopeng Tu, Fandong Meng, Junjie Zhai, Yang Liu:
Towards Robust Neural Machine Translation. 1756-1766 - Shaohui Kuang, Junhui Li, António Branco, Weihua Luo, Deyi Xiong
Attention Focusing for Neural Machine Translation by Bridging Source and Target Embeddings. 1767-1776 - Julia Kreutzer, Joshua Uyheng
Reliability and Learnability of Human Bandit Feedback for Sequence-to-Sequence Reinforcement Learning. 1777-1788 - Biao Zhang, Deyi Xiong
Accelerating Neural Transformer via an Average Attention Network. 1789-1798 - Tobias Domhan:
How Much Attention Do You Need? A Granular Analysis of Neural Machine Translation Architectures. 1799-1808 - Omer Goldman, Veronica Latcinnik, Ehud Nave, Amir Globerson, Jonathan Berant:
Weakly Supervised Semantic Parsing with Abstract Examples. 1809-1819 - Carolin Lawrence, Stefan Riezler:
Improving a Neural Semantic Parser by Counterfactual Learning from Human Bandit Feedback. 1820-1830 - Jonas Groschwitz, Matthias Lindemann
AMR dependency parsing with a typed semantic algebra. 1831-1841 - Xiaochang Peng, Linfeng Song, Daniel Gildea, Giorgio Satta
Sequence-to-sequence Models for Cache Transition Systems. 1842-1852 - Xin Xin, Fajie Yuan, Xiangnan He, Joemon M. Jose:
Batch IS NOT Heavy: Learning Word Representations From All Samples. 1853-1862 - Hao Peng, Sam Thomson, Noah A. Smith:
Backpropagating through Structured Argmax using a SPIGOT. 1863-1873 - Ming Liu, Wray L. Buntine, Gholamreza Haffari:
Learning How to Actively Learn: A Deep Imitation Learning Approach. 1874-1883 - Braden Hancock, Paroma Varma, Stephanie Wang, Martin Bringmann, Percy Liang, Christopher Ré:
Training Classifiers with Natural Language Explanations. 1884-1895 - Pramod Kaushik Mudrakarta, Ankur Taly, Mukund Sundararajan, Kedar Dhamdhere:
Did the Model Understand the Question? 1896-1906 - Xinya Du, Claire Cardie:
Harvesting Paragraph-level Question-Answer Pairs from Wikipedia. 1907-1917 - Yizhong Wang, Kai Liu, Jing Liu, Wei He, Yajuan Lyu, Hua Wu, Sujian Li, Haifeng Wang
Multi-Passage Machine Reading Comprehension with Cross-Passage Answer Verification. 1918-1927 - Yajie Ye, Weiwei Sun, Xiaojun Wan:
Language Generation via DAG Transduction. 1928-1937 - Daniel Deutsch, John Hewitt, Dan Roth:
A Distributional and Orthographic Aggregation Model for English Derivational Morphology. 1938-1947 - Jey Han Lau, Trevor Cohn, Timothy Baldwin, Julian Brooke, Adam Hammond:
Deep-speare: A joint neural model of poetic language, meter and rhyme. 1948-1958 - Thiago Castro Ferreira, Diego Moussallem, Ákos Kádár, Sander Wubben, Emiel Krahmer:
NeuralREG: An end-to-end approach to referring expression generation. 1959-1969 - Yumo Xu, Shay B. Cohen:
Stock Movement Prediction from Tweets and Historical Prices. 1970-1979 - Jing Ma
Rumor Detection on Twitter with Tree-structured Recursive Neural Networks. 1980-1989 - Di Lu, Leonardo Neves, Vitor Carvalho, Ning Zhang, Heng Ji:
Visual Attention Model for Name Tagging in Multimodal Social Media. 1990-1999 - Seungwhan Moon, Leonardo Neves, Vitor Carvalho:
Multimodal Named Entity Disambiguation for Noisy Social Media Posts. 2000-2008 - Afshin Rahimi, Trevor Cohn, Timothy Baldwin:
Semi-supervised User Geolocation via Graph Convolutional Networks. 2009-2019 - Shashi Narayan, Ronald Cardenas, Nikos Papasarantopoulos, Shay B. Cohen, Mirella Lapata, Jiangsheng Yu, Yi Chang
Document Modeling with External Attention for Sentence Extraction. 2020-2030 - Dallas Card
Neural Models for Documents with Metadata. 2031-2040 - Dinghan Shen, Qinliang Su, Paidamoyo Chapfuwa, Wenlin Wang, Guoyin Wang, Ricardo Henao, Lawrence Carin
NASH: Toward End-to-End Neural Architecture for Generative Semantic Hashing. 2041-2050 - Nicholas FitzGerald, Julian Michael, Luheng He, Luke Zettlemoyer:
Large-Scale QA-SRL Parsing. 2051-2060 - Shexia He, Zuchao Li
Syntax for Semantic Role Labeling, To Be, Or Not To Be. 2061-2071 - Alane Suhr, Yoav Artzi:
Situated Mapping of Sequential Instructions to Actions with Single-step Reward Observation. 2072-2082 - Bingfeng Luo, Yansong Feng, Zheng Wang
Marrying Up Regular Expressions with Neural Networks: A Case Study for Spoken Language Understanding. 2083-2093 - Maha Elbayad, Laurent Besacier, Jakob Verbeek:
Token-level and sequence-level loss smoothing for RNN language models. 2094-2103 - Georgios P. Spithourakis, Sebastian Riedel:
Numeracy for Language Models: Evaluating and Improving their Ability to Predict Numbers. 2104-2115 - Amulya Gupta, Zhu Zhang:
To Attend or not to Attend: A Case Study on Syntactic Structures for Semantic Relatedness. 2116-2125 - Alexis Conneau, Germán Kruszewski, Guillaume Lample, Loïc Barrault, Marco Baroni
What you can cram into a single \$&!#* vector: Probing sentence embeddings for linguistic properties. 2126-2136 - Pengda Qin, Weiran Xu, William Yang Wang:
Robust Distant Supervision Relation Extraction via Deep Reinforcement Learning. 2137-2147 - Ryo Takahashi, Ran Tian, Kentaro Inui:
Interpretable and Compositional Relation Learning by Joint Training with an Autoencoder. 2148-2159 - Lifu Huang, Heng Ji, Kyunghyun Cho, Ido Dagan, Sebastian Riedel, Clare R. Voss:
Zero-Shot Transfer Learning for Event Extraction. 2160-2170 - Wenya Wang
Recursive Neural Structural Correspondence Network for Cross-domain Aspect and Opinion Co-Extraction. 2171-2181 - Baolin Peng, Xiujun Li, Jianfeng Gao, Jingjing Liu, Kam-Fai Wong
Deep Dyna-Q: Integrating Planning for Task-Completion Dialogue Policy Learning. 2182-2192 - Yansen Wang, Chenyi Liu, Minlie Huang, Liqiang Nie:
Learning to Ask Questions in Open-domain Conversational Systems with Typed Decoders. 2193-2203 - Saizheng Zhang, Emily Dinan, Jack Urbanek, Arthur Szlam, Douwe Kiela, Jason Weston:
Personalizing Dialogue Agents: I have a dog, do you have pets too? 2204-2213 - Young-Bum Kim, Dongchan Kim, Anjishnu Kumar, Ruhi Sarikaya:
Efficient Large-Scale Neural Domain Classification with Personalized Attention. 2214-2224 - Yue Gu
Multimodal Affective Analysis Using Hierarchical Attention Strategy with Word-Level Alignment. 2225-2235 - Amir Zadeh, Paul Pu Liang, Soujanya Poria
Multimodal Language Analysis in the Wild: CMU-MOSEI Dataset and Interpretable Dynamic Fusion Graph. 2236-2246 - Zhun Liu, Ying Shen, Varun Bharadhwaj Lakshminarasimhan, Paul Pu Liang, Amir Zadeh, Louis-Philippe Morency:
Efficient Low-rank Multimodal Fusion With Modality-Specific Factors. 2247-2256 - Hannah Rohde, Alexander Johnson, Nathan Schneider, Bonnie L. Webber:
Discourse Coherence: Concurrent Explicit and Implicit Relations. 2257-2267 - Shashank Srivastava, Nebojsa Jojic:
A Spatial Model for Extracting and Visualizing Latent Discourse Structure in Text. 2268-2277 - Qiang Ning, Zhili Feng, Hao Wu, Dan Roth:
Joint Reasoning for Temporal and Causal Relations. 2278-2288 - Hannah Rashkin, Antoine Bosselut
Modeling Naive Psychology of Characters in Simple Commonsense Stories. 2289-2299 - Chenliang Li, Wei Zhou, Feng Ji, Yu Duan, Haiqing Chen:
A Deep Relevance Model for Zero-Shot Document Filtering. 2300-2310 - Baoxin Wang:
Disconnected Recurrent Neural Networks for Text Categorization. 2311-2320 - Guoyin Wang, Chunyuan Li, Wenlin Wang, Yizhe Zhang, Dinghan Shen, Xinyuan Zhang, Ricardo Henao, Lawrence Carin
Joint Embedding of Words and Labels for Text Classification. 2321-2331 - Min Peng, Qianqian Xie, Hua Wang
Neural Sparse Topical Coding. 2332-2340 - Hongyu Gong, Tarek Sakakini, Suma Bhat
Document Similarity for Texts of Varying Lengths via Hidden Topics. 2341-2351 - Sandeep Mathias
Eyes are the Windows to the Soul: Predicting the Rating of Text Quality Using Gaze Behaviour. 2352-2362 - Rui Dong, David Smith
Multi-Input Attention for Unsupervised OCR Correction. 2363-2372 - Md. Rizwan Parvez
Building Language Models for Text with Named Entities. 2373-2383 - Jialong Han, Yan Song, Wayne Xin Zhao, Shuming Shi, Haisong Zhang:
hyperdoc2vec: Distributed Representations of Hypertext Documents. 2384-2394 - Zhenghao Liu, Chenyan Xiong, Maosong Sun, Zhiyuan Liu:
Entity-Duet Neural Ranking: Understanding the Role of Knowledge Graph Semantics in Neural Information Retrieval. 2395-2405 - Qian Chen, Xiaodan Zhu, Zhen-Hua Ling, Diana Inkpen, Si Wei:
Neural Natural Language Inference Models Enhanced with External Knowledge. 2406-2417 - Dongyeop Kang
AdvEntuRe: Adversarial Training for Textual Entailment with Knowledge-Guided Examples. 2418-2428 - Sungjoon Park, Jeongmin Byun, Sion Baek, Yongseok Cho, Alice Oh:
Subword-level Word Vector Representations for Korean. 2429-2438 - Huiming Jin, Hao Zhu, Zhiyuan Liu, Ruobing Xie, Maosong Sun, Fen Lin, Leyu Lin:
Incorporating Chinese Characters of Words for Lexical Sememe Prediction. 2439-2449 - Jisun An, Haewoon Kwak
SemAxis: A Lightweight Framework to Characterize Domain-Specific Word Semantics Beyond Sentiment. 2450-2461 - Yuning Mao, Xiang Ren, Jiaming Shen, Xiaotao Gu, Jiawei Han:
End-to-End Reinforcement Learning for Automatic Taxonomy Induction. 2462-2472 - Fuli Luo, Tianyu Liu, Qiaolin Xia, Baobao Chang, Zhifang Sui:
Incorporating Glosses into Neural Word Sense Disambiguation. 2473-2482 - Jeremy Barnes, Roman Klinger, Sabine Schulte im Walde:
Bilingual Sentiment Embeddings: Joint Projection of Sentiment Across Languages. 2483-2493 - Bei Shi, Zihao Fu, Lidong Bing, Wai Lam:
Learning Domain-Sensitive and Sentiment-Aware Word Embeddings. 2494-2504 - Minlong Peng, Qi Zhang, Yu-Gang Jiang, Xuanjing Huang:
Cross-Domain Sentiment Classification with Target Domain Specific Information. 2505-2513 - Wei Xue, Tao Li:
Aspect Based Sentiment Analysis with Gated Convolutional Networks. 2514-2523 - Xin Dong, Gerard de Melo:
A Helping Hand: Transfer Learning for Deep Sentiment Analysis. 2524-2534 - Reinald Kim Amplayo, Jihyeok Kim, Sua Sung, Seung-won Hwang:
Cold-Start Aware User and Product Attention for Sentiment Classification. 2535-2544 - Khalid Al Khatib
Modeling Deliberative Argumentation Strategies on Wikipedia. 2545-2555 - Piyush Sharma, Nan Ding, Sebastian Goodman, Radu Soricut:
Conceptual Captions: A Cleaned, Hypernymed, Image Alt-text Dataset For Automatic Image Captioning. 2556-2565 - John Hewitt, Daphne Ippolito, Brendan Callahan, Reno Kriz, Derry Tanti Wijaya
Learning Translations via Images with a Massively Multilingual Image Dataset. 2566-2576 - Baoyu Jing, Pengtao Xie, Eric P. Xing:
On the Automatic Generation of Medical Imaging Reports. 2577-2586 - Hongge Chen, Huan Zhang, Pin-Yu Chen, Jinfeng Yi, Cho-Jui Hsieh:
Attacking Visual Language Grounding with Adversarial Examples: A Case Study on Neural Image Captioning. 2587-2597 - Ankit Goyal, Jian Wang, Jia Deng:
Think Visually: Question Answering through Virtual Imagery. 2598-2608 - Haichao Zhang, Haonan Yu, Wei Xu:
Interactive Language Acquisition with One-shot Visual Concept Learning through a Conversational Game. 2609-2619 - Hiroshi Seki, Takaaki Hori, Shinji Watanabe, Jonathan Le Roux, John R. Hershey:
A Purely End-to-End System for Multi-speaker Speech Recognition. 2620-2630 - Lawrence Wolf-Sonkin, Jason Naradowsky, S. J. Mielke, Ryan Cotterell:
A Structured Variational Autoencoder for Contextual Morphological Inflection. 2631-2641 - Bernd Bohnet, Ryan T. McDonald, Gonçalo Simões, Daniel Andor, Emily Pitler, Joshua Maynez:
Morphosyntactic Tagging with a Meta-BiLSTM Model over Context Sensitive Token Encodings. 2642-2652 - Chaitanya Malaviya, Matthew R. Gormley, Graham Neubig:
Neural Factor Graph Models for Cross-lingual Morphological Tagging. 2653-2663 - Carlos Gómez-Rodríguez, Tianze Shi, Lillian Lee
Global Transition-based Non-projective Dependency Parsing. 2664-2675 - Nikita Kitaev, Dan Klein:
Constituency Parsing with a Self-Attentive Encoder. 2676-2686 - Yufei Chen, Yuanyuan Zhao, Weiwei Sun, Xiaojun Wan:
Pre- and In-Parsing Models for Neural Empty Category Detection. 2687-2696 - Arturo Argueta, David Chiang:
Composing Finite State Transducers on GPUs. 2697-2705 - Xinzhou Jiang, Zhenghua Li, Bo Zhang, Min Zhang, Sheng Li, Luo Si:
Supervised Treebank Conversion: Data and Approaches. 2706-2716 - Zhengdong Lu, Xianggen Liu, Haotian Cui, Yukun Yan, Daqi Zheng:
Object-oriented Neural Programming (OONP) for Document Understanding. 2717-2726 - John T. Hale, Chris Dyer, Adhiguna Kuncoro, Jonathan Brennan
Finding syntax in human encephalography with beam search. 2727-2736 - Sudha Rao, Hal Daumé III:
Learning to Ask Good Questions: Ranking Clarification Questions using Neural Expected Value of Perfect Information. 2737-2746 - Andre Cianflone, Yulan Feng, Jad Kabbara, Jackie Chi Kit Cheung:
Let's do it "again": A First Computational Approach to Detecting Adverbial Presupposition Triggers. 2747-2755
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