default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCID56th 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, Ari Rappoport:
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, Austin Blodgett, Sarah R. Moeller, Aviram Stern, Adi Bitan, Omri Abend:
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, Jonathan K. Kummerfeld, Li Zhang, Karthik Ramanathan, Sesh Sadasivam, Rui Zhang, Dragomir R. Radev:
Improving Text-to-SQL Evaluation Methodology. 351-360 - Yibo Sun, Duyu Tang, Nan Duan, Jianshu Ji, Guihong Cao, Xiaocheng Feng, Bing Qin, Ting Liu, Ming Zhou:
Semantic Parsing with Syntax- and Table-Aware SQL Generation. 361-372 - Daniel Hershcovich, Omri Abend, Ari Rappoport:
Multitask Parsing Across Semantic Representations. 373-385 - Gözde Gül Sahin, Mark Steedman:
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, Jian Yin:
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, Qinliang Su, Yizhe Zhang, Chunyuan Li, Ricardo Henao, Lawrence Carin:
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, Nan Yang, Furu Wei, Shaohan Huang, Ming Zhou, Tiejun Zhao:
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, Graham Neubig:
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, Fabienne Braune, Alexander M. Fraser, Hinrich Schütze:
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, Wenhu Chen, Yuan-Fang Wang, William Yang 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, Xiaodong Zhang, Xuancheng Ren, Houfeng Wang, Wenjie Li:
Unpaired Sentiment-to-Sentiment Translation: A Cycled Reinforcement Learning Approach. 979-988 - Boyuan Pan, Yazheng Yang, Zhou Zhao, Yueting Zhuang, Deng Cai, Xiaofei He:
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, Le Sun:
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, Xueqi Cheng:
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, Christopher Cerezo Falco:
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, Trevor Cohn:
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, Cristian Danescu-Niculescu-Mizil, Lucas Dixon, Yiqing Hua, Dario Taraborelli, Nithum Thain:
Conversations Gone Awry: Detecting Early Signs of Conversational Failure. 1350-1361