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ORCIDEMNLP 2016: Austin, Texas, USA
- Jian Su, Xavier Carreras, Kevin Duh:
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, EMNLP 2016, Austin, Texas, USA, November 1-4, 2016. The Association for Computational Linguistics 2016, ISBN 978-1-945626-25-8
Parsing and Syntax (Long Papers)
- James Cross, Liang Huang:
Span-Based Constituency Parsing with a Structure-Label System and Provably Optimal Dynamic Oracles. 1-11 - Pascual Martínez-Gómez, Yusuke Miyao:
Rule Extraction for Tree-to-Tree Transducers by Cost Minimization. 12-22 - Jessica Ficler, Yoav Goldberg
:
A Neural Network for Coordination Boundary Prediction. 23-32 - Hiroshi Noji, Yusuke Miyao, Mark Johnson:
Using Left-corner Parsing to Encode Universal Structural Constraints in Grammar Induction. 33-43
Information Extraction (Long Papers)
- Ruihong Huang, Ignacio Cases, Dan Jurafsky, Cleo Condoravdi, Ellen Riloff:
Distinguishing Past, On-going, and Future Events: The EventStatus Corpus. 44-54 - Nikita Bhutani, H. V. Jagadish, Dragomir R. Radev:
Nested Propositions in Open Information Extraction. 55-64 - Yunlun Yang, Yunhai Tong, Shulei Ma, Zhi-Hong Deng:
A Position Encoding Convolutional Neural Network Based on Dependency Tree for Relation Classification. 65-74 - Aldrian Obaja Muis, Wei Lu:
Learning to Recognize Discontiguous Entities. 75-84
Psycholinguistics / Machine Learning (Long Papers)
- Michael Hahn, Frank Keller:
Modeling Human Reading with Neural Attention. 85-95 - Libby Barak, Adele E. Goldberg, Suzanne Stevenson:
Comparing Computational Cognitive Models of Generalization in a Language Acquisition Task. 96-106 - Tao Lei, Regina Barzilay, Tommi S. Jaakkola:
Rationalizing Neural Predictions. 107-117 - Pengfei Liu, Xipeng Qiu, Xuanjing Huang:
Deep Multi-Task Learning with Shared Memory for Text Classification. 118-127
Reading Comprehension and Question Answering (Long Papers)
- Adam Trischler, Zheng Ye, Xingdi Yuan, Philip Bachman, Alessandro Sordoni, Kaheer Suleman:
Natural Language Comprehension with the EpiReader. 128-137 - Rebecca Sharp, Mihai Surdeanu, Peter Jansen, Peter Clark, Michael Hammond:
Creating Causal Embeddings for Question Answering with Minimal Supervision. 138-148 - Semih Yavuz, Izzeddin Gur, Yu Su, Mudhakar Srivatsa, Xifeng Yan:
Improving Semantic Parsing via Answer Type Inference. 149-159 - Jayant Krishnamurthy, Oyvind Tafjord, Aniruddha Kembhavi:
Semantic Parsing to Probabilistic Programs for Situated Question Answering. 160-170
Embeddings of Linguistic Structure (Long Papers)
- Ottokar Tilk, Vera Demberg, Asad B. Sayeed, Dietrich Klakow, Stefan Thater:
Event participant modelling with neural networks. 171-182 - Lin Qiu, Kewei Tu, Yong Yu:
Context-Dependent Sense Embedding. 183-191 - Shu Guo, Quan Wang, Lihong Wang, Bin Wang, Li Guo:
Jointly Embedding Knowledge Graphs and Logical Rules. 192-202 - Chloé Braud, Pascal Denis:
Learning Connective-based Word Representations for Implicit Discourse Relation Identification. 203-213
Sentiment and Opinion Analysis (Long Papers)
- Duyu Tang, Bing Qin, Ting Liu:
Aspect Level Sentiment Classification with Deep Memory Network. 214-224 - Lei Shu, Bing Liu, Hu Xu, Annice Kim:
Lifelong-RL: Lifelong Relaxation Labeling for Separating Entities and Aspects in Opinion Targets. 225-235 - Jianfei Yu, Jing Jiang:
Learning Sentence Embeddings with Auxiliary Tasks for Cross-Domain Sentiment Classification. 236-246 - Xinjie Zhou, Xiaojun Wan, Jianguo Xiao:
Attention-based LSTM Network for Cross-Lingual Sentiment Classification. 247-256
Neural Machine Translation (Long + TACL Papers)
- Luisa Bentivogli, Arianna Bisazza, Mauro Cettolo, Marcello Federico:
Neural versus Phrase-Based Machine Translation Quality: a Case Study. 257-267 - Orhan Firat, Baskaran Sankaran, Yaser Al-Onaizan, Fatos T. Yarman-Vural, Kyunghyun Cho:
Zero-Resource Translation with Multi-Lingual Neural Machine Translation. 268-277 - Mingxuan Wang, Zhengdong Lu, Hang Li, Qun Liu:
Memory-enhanced Decoder for Neural Machine Translation. 278-286
Semi-supervised and Minimally Supervised Learning (Long + TACL Papers)
- Zita Marinho, André F. T. Martins, Shay B. Cohen, Noah A. Smith:
Semi-Supervised Learning of Sequence Models with Method of Moments. 287-296 - Shyam Upadhyay, Ming-Wei Chang, Kai-Wei Chang, Wen-tau Yih:
Learning from Explicit and Implicit Supervision Jointly For Algebra Word Problems. 297-306 - Jeniya Tabassum, Alan Ritter, Wei Xu:
TweeTime : A Minimally Supervised Method for Recognizing and Normalizing Time Expressions in Twitter. 307-318
Summarization and Generation (Long Papers)
- Yishu Miao, Phil Blunsom:
Language as a Latent Variable: Discrete Generative Models for Sentence Compression. 319-328 - Chloé Kiddon, Luke Zettlemoyer, Yejin Choi:
Globally Coherent Text Generation with Neural Checklist Models. 329-339 - Kristina Toutanova, Chris Brockett, Ke M. Tran, Saleema Amershi:
A Dataset and Evaluation Metrics for Abstractive Compression of Sentences and Short Paragraphs. 340-350 - Dominique Brunato, Andrea Cimino, Felice Dell'Orletta, Giulia Venturi:
PaCCSS-IT: A Parallel Corpus of Complex-Simple Sentences for Automatic Text Simplification. 351-361
Poster Session A
- Qi Li, Tianshi Li, Baobao Chang:
Discourse Parsing with Attention-based Hierarchical Neural Networks. 362-371 - Xiangyang Zhou, Daxiang Dong, Hua Wu, Shiqi Zhao, Dianhai Yu, Hao Tian, Xuan Liu, Rui Yan:
Multi-view Response Selection for Human-Computer Conversation. 372-381 - Biao Zhang, Deyi Xiong, Jinsong Su, Qun Liu, Rongrong Ji, Hong Duan, Min Zhang:
Variational Neural Discourse Relation Recognizer. 382-391 - Haoruo Peng, Yangqiu Song, Dan Roth:
Event Detection and Co-reference with Minimal Supervision. 392-402 - Anh Tuan Luu, Yi Tay, Siu Cheung Hui, See-Kiong Ng:
Learning Term Embeddings for Taxonomic Relation Identification Using Dynamic Weighting Neural Network. 403-413 - Madhav Nimishakavi, Uday Singh Saini, Partha P. Talukdar:
Relation Schema Induction using Tensor Factorization with Side Information. 414-423 - Luis Espinosa Anke, José Camacho-Collados, Claudio Delli Bovi, Horacio Saggion:
Supervised Distributional Hypernym Discovery via Domain Adaptation. 424-435 - Tomás Brychcín:
Latent Tree Language Model. 436-446 - Douwe Kiela, Anita Lilla Vero, Stephen Clark:
Comparing Data Sources and Architectures for Deep Visual Representation Learning in Semantics. 447-456 - Akira Fukui, Dong Huk Park, Daylen Yang, Anna Rohrbach, Trevor Darrell, Marcus Rohrbach:
Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding. 457-468 - Rotem Dror, Roi Reichart:
The Structured Weighted Violations Perceptron Algorithm. 469-478 - Lili Mou, Zhao Meng, Rui Yan, Ge Li, Yan Xu, Lu Zhang, Zhi Jin:
How Transferable are Neural Networks in NLP Applications? 479-489 - Parminder Bhatia, Robert Guthrie, Jacob Eisenstein:
Morphological Priors for Probabilistic Neural Word Embeddings. 490-500 - Wenbin Jiang, Wen Zhang, Jinan Xu, Rangjia Cai:
Automatic Cross-Lingual Similarization of Dependency Grammars for Tree-based Machine Translation. 501-510 - Naoki Otani, Toshiaki Nakazawa, Daisuke Kawahara, Sadao Kurohashi:
IRT-based Aggregation Model of Crowdsourced Pairwise Comparison for Evaluating Machine Translations. 511-520 - Biao Zhang, Deyi Xiong, Jinsong Su, Hong Duan, Min Zhang:
Variational Neural Machine Translation. 521-530 - Andrei Simion, Michael Collins, Cliff Stein:
Towards a Convex HMM Surrogate for Word Alignment. 531-540 - Huazheng Wang, Fei Tian, Bin Gao, Chengjieren Zhu, Jiang Bian, Tie-Yan Liu:
Solving Verbal Questions in IQ Test by Knowledge-Powered Word Embedding. 541-550 - Jianpeng Cheng, Li Dong, Mirella Lapata:
Long Short-Term Memory-Networks for Machine Reading. 551-561 - Yu Su, Huan Sun, Brian M. Sadler, Mudhakar Srivatsa, Izzeddin Gur, Zenghui Yan, Xifeng Yan:
On Generating Characteristic-rich Question Sets for QA Evaluation. 562-572 - Ferhan Türe, Elizabeth Boschee:
Learning to Translate for Multilingual Question Answering. 573-584 - Ahmed AbdelWahab, Reinhold Kliegl, Niels Landwehr:
A Semiparametric Model for Bayesian Reader Identification. 585-594 - William L. Hamilton, Kevin Clark, Jure Leskovec, Dan Jurafsky:
Inducing Domain-Specific Sentiment Lexicons from Unlabeled Corpora. 595-605 - Yequan Wang, Minlie Huang, Xiaoyan Zhu, Li Zhao:
Attention-based LSTM for Aspect-level Sentiment Classification. 606-615 - Wenya Wang, Sinno Jialin Pan, Daniel Dahlmeier, Xiaokui Xiao:
Recursive Neural Conditional Random Fields for Aspect-based Sentiment Analysis. 616-626 - Abhishek Laddha, Arjun Mukherjee:
Extracting Aspect Specific Opinion Expressions. 627-637 - Deyu Zhou, Xuan Zhang, Yin Zhou, Quan Zhao, Xin Geng:
Emotion Distribution Learning from Texts. 638-647 - John P. Lalor, Hao Wu, Hong Yu:
Building an Evaluation Scale using Item Response Theory. 648-657 - Shihao Ji, Hyokun Yun, Pinar Yanardag, Shin Matsushima, S. V. N. Vishwanathan:
WordRank: Learning Word Embeddings via Robust Ranking. 658-668 - Yu-Ping Ruan, Zhen-Hua Ling, Yu Hu:
Exploring Semantic Representation in Brain Activity Using Word Embeddings. 669-679 - Junsheng Zhou, Feiyu Xu, Hans Uszkoreit, Weiguang Qu, Ran Li, Yanhui Gu:
AMR Parsing with an Incremental Joint Model. 680-689 - Ethan Fast, Eric Horvitz:
Identifying Dogmatism in Social Media: Signals and Models. 690-699 - Dong Zhou, Séamus Lawless, Xuan Wu, Wenyu Zhao, Jianxun Liu:
Enhanced Personalized Search using Social Data. 700-710 - Ilan Tchernowitz, Liron Yedidsion, Roi Reichart:
Effective Greedy Inference for Graph-based Non-Projective Dependency Parsing. 711-720 - Qi Zhang, Jin Qian, Ya Guo, Yaqian Zhou, Xuanjing Huang:
Generating Abbreviations for Chinese Named Entities Using Recurrent Neural Network with Dynamic Dictionary. 721-730 - Hongshen Chen, Yue Zhang, Qun Liu:
Neural Network for Heterogeneous Annotations. 731-741 - Sebastian Ebert, Thomas Müller, Hinrich Schütze:
LAMB: A Good Shepherd of Morphologically Rich Languages. 742-752 - Zhenghua Li, Jiayuan Chao, Min Zhang, Jiwen Yang:
Fast Coupled Sequence Labeling on Heterogeneous Annotations via Context-aware Pruning. 753-762 - Yong Jiang, Wenjuan Han, Kewei Tu:
Unsupervised Neural Dependency Parsing. 763-771 - Daraksha Parveen, Mohsen Mesgar, Michael Strube:
Generating Coherent Summaries of Scientific Articles Using Coherence Patterns. 772-783 - Tao Ge, Lei Cui, Baobao Chang, Sujian Li, Ming Zhou, Zhifang Sui:
News Stream Summarization using Burst Information Networks. 784-794 - Ye Zhang, Iain James Marshall, Byron C. Wallace:
Rationale-Augmented Convolutional Neural Networks for Text Classification. 795-804 - Yu-Yang Huang, Shou-De Lin:
Transferring User Interests Across Websites with Unstructured Text for Cold-Start Recommendation. 805-814 - Zhong Qian, Peifeng Li, Qiaoming Zhu, Guodong Zhou, Zhunchen Luo, Wei Luo:
Speculation and Negation Scope Detection via Convolutional Neural Networks. 815-825 - Peng Qian, Xipeng Qiu, Xuanjing Huang:
Analyzing Linguistic Knowledge in Sequential Model of Sentence. 826-835 - Qi Zhang, Yang Wang, Yeyun Gong, Xuanjing Huang:
Keyphrase Extraction Using Deep Recurrent Neural Networks on Twitter. 836-845 - Chuanqi Tan, Furu Wei, Li Dong, Weifeng Lv, Ming Zhou:
Solving and Generating Chinese Character Riddles. 846-855 - Abhyuday Jagannatha, Hong Yu:
Structured prediction models for RNN based sequence labeling in clinical text. 856-865 - Xuepeng Wang, Kang Liu, Shizhu He, Jun Zhao:
Learning to Represent Review with Tensor Decomposition for Spam Detection. 866-875 - Isabelle Augenstein, Tim Rocktäschel, Andreas Vlachos, Kalina Bontcheva:
Stance Detection with Bidirectional Conditional Encoding. 876-885 - Thien Huu Nguyen, Ralph Grishman:
Modeling Skip-Grams for Event Detection with Convolutional Neural Networks. 886-891 - Tobias Falke, Gabriel Stanovsky, Iryna Gurevych, Ido Dagan:
Porting an Open Information Extraction System from English to German. 892-898 - Lizhen Qu, Gabriela Ferraro, Liyuan Zhou, Weiwei Hou, Timothy Baldwin:
Named Entity Recognition for Novel Types by Transfer Learning. 899-905 - Allison Badgett, Ruihong Huang:
Extracting Subevents via an Effective Two-phase Approach. 906-911 - Tanmoy Mukherjee, Timothy M. Hospedales:
Gaussian Visual-Linguistic Embedding for Zero-Shot Recognition. 912-918 - Arijit Ray, Gordon A. Christie, Mohit Bansal, Dhruv Batra, Devi Parikh:
Question Relevance in VQA: Identifying Non-Visual And False-Premise Questions. 919-924 - Harsh Agrawal, Arjun Chandrasekaran, Dhruv Batra, Devi Parikh, Mohit Bansal:
Sort Story: Sorting Jumbled Images and Captions into Stories. 925-931 - Abhishek Das, Harsh Agrawal, Larry Zitnick, Devi Parikh, Dhruv Batra:
Human Attention in Visual Question Answering: Do Humans and Deep Networks look at the same regions? 932-937 - Yiren Wang, Fei Tian:
Recurrent Residual Learning for Sequence Classification. 938-943 - Ehsan Shareghi, Trevor Cohn, Gholamreza Haffari:
Richer Interpolative Smoothing Based on Modified Kneser-Ney Language Modeling. 944-949 - Wei Lu, Hai Leong Chieu, Jonathan Löfgren:
A General Regularization Framework for Domain Adaptation. 950-954 - Haitao Mi, Baskaran Sankaran, Zhiguo Wang, Abe Ittycheriah:
Coverage Embedding Models for Neural Machine Translation. 955-960 - Katharina Kann, Ryan Cotterell, Hinrich Schütze:
Neural Morphological Analysis: Encoding-Decoding Canonical Segments. 961-967 - Peng Shi, Zhiyang Teng, Yue Zhang:
Exploiting Mutual Benefits between Syntax and Semantic Roles using Neural Network. 968-974 - Magnus Sahlgren, Alessandro Lenci:
The Effects of Data Size and Frequency Range on Distributional Semantic Models. 975-980 - Rongchao Yin, Quan Wang, Peng Li, Rui Li, Bin Wang:
Multi-Granularity Chinese Word Embedding. 981-986 - Georgios P. Spithourakis, Isabelle Augenstein, Sebastian Riedel:
Numerically Grounded Language Models for Semantic Error Correction. 987-992 - Alan Akbik, Vishwajeet Kumar, Yunyao Li:
Towards Semi-Automatic Generation of Proposition Banks for Low-Resource Languages. 993-998 - Sebastian Ruder, Parsa Ghaffari, John G. Breslin:
A Hierarchical Model of Reviews for Aspect-based Sentiment Analysis. 999-1005 - Aditya Joshi, Vaibhav Tripathi, Kevin Patel, Pushpak Bhattacharyya, Mark James Carman:
Are Word Embedding-based Features Useful for Sarcasm Detection? 1006-1011 - Javid Ebrahimi, Dejing Dou, Daniel Lowd:
Weakly Supervised Tweet Stance Classification by Relational Bootstrapping. 1012-1017 - Ellie Pavlick, Heng Ji, Xiaoman Pan, Chris Callison-Burch:
The Gun Violence Database: A new task and data set for NLP. 1018-1024 - Tom Lippincott, Benjamin Van Durme:
Fluency detection on communication networks. 1025-1029 - Trang Tran, Mari Ostendorf:
Characterizing the Language of Online Communities and its Relation to Community Reception. 1030-1035 - Masashi Yoshikawa, Hiroyuki Shindo, Yuji Matsumoto:
Joint Transition-based Dependency Parsing and Disfluency Detection for Automatic Speech Recognition Texts. 1036-1041 - Dario Bertero, Farhad Bin Siddique, Chien-Sheng Wu, Yan Wan, Ricky Ho Yin Chan, Pascale Fung:
Real-Time Speech Emotion and Sentiment Recognition for Interactive Dialogue Systems. 1042-1047 - Miguel Ballesteros, Leo Wanner:
A Neural Network Architecture for Multilingual Punctuation Generation. 1048-1053 - Sho Takase, Jun Suzuki, Naoaki Okazaki, Tsutomu Hirao, Masaaki Nagata:
Neural Headline Generation on Abstract Meaning Representation. 1054-1059 - Taygun Kekeç, David M. J. Tax:
Robust Gram Embeddings. 1060-1065 - Yea-Seul Kim, Jessica Hullman, Matthew Burgess, Eytan Adar:
SimpleScience: Lexical Simplification of Scientific Terminology. 1066-1071 - Fei Dong, Yue Zhang:
Automatic Features for Essay Scoring - An Empirical Study. 1072-1077
Semantics and Semantic Parsing (Long Papers)
- Tomás Kociský, Gábor Melis, Edward Grefenstette, Chris Dyer, Wang Ling, Phil Blunsom, Karl Moritz Hermann:
Semantic Parsing with Semi-Supervised Sequential Autoencoders. 1078-1087 - Subhro Roy, Shyam Upadhyay, Dan Roth:
Equation Parsing : Mapping Sentences to Grounded Equations. 1088-1097 - Jordan Sanders, Eduardo Blanco:
Automatic Extraction of Implicit Interpretations from Modal Constructions. 1098-1107 - Zahra Sarabi, Eduardo Blanco:
Understanding Negation in Positive Terms Using Syntactic Dependencies. 1108-1118
NLP for Social Science and Health (Long + TACL Papers)
- Su Lin Blodgett, Lisa Green, Brendan T. O'Connor:
Demographic Dialectal Variation in Social Media: A Case Study of African-American English. 1119-1130 - Koustav Rudra, Shruti Rijhwani, Rafiya Begum, Kalika Bali, Monojit Choudhury, Niloy Ganguly:
Understanding Language Preference for Expression of Opinion and Sentiment: What do Hindi-English Speakers do on Twitter? 1131-1141 - Allison June-Barlow Chaney, Hanna M. Wallach, Matthew Connelly, David M. Blei:
Detecting and Characterizing Events. 1142-1152
Language Models (Long + TACL Papers)
- Ngoc-Quan Pham, Germán Kruszewski, Gemma Boleda:
Convolutional Neural Network Language Models. 1153-1162 - Graham Neubig, Chris Dyer:
Generalizing and Hybridizing Count-based and Neural Language Models. 1163-1172
Text Generation (Long Papers)
- Jacob Andreas, Dan Klein:
Reasoning about Pragmatics with Neural Listeners and Speakers. 1173-1182 - Marjan Ghazvininejad, Xing Shi, Yejin Choi, Kevin Knight:
Generating Topical Poetry. 1183-1191 - Jiwei Li, Will Monroe, Alan Ritter, Dan Jurafsky, Michel Galley, Jianfeng Gao:
Deep Reinforcement Learning for Dialogue Generation. 1192-1202 - Rémi Lebret, David Grangier, Michael Auli:
Neural Text Generation from Structured Data with Application to the Biography Domain. 1203-1213
Discourse and Document Structure (Long Papers)
- Ivan Habernal, Iryna Gurevych:
What makes a convincing argument? Empirical analysis and detecting attributes of convincingness in Web argumentation. 1214-1223 - Yang Liu, Sujian Li:
Recognizing Implicit Discourse Relations via Repeated Reading: Neural Networks with Multi-Level Attention. 1224-1233 - Pranav Anand, Daniel Hardt:
Antecedent Selection for Sluicing: Structure and Content. 1234-1243 - Ryu Iida, Kentaro Torisawa, Jong-Hoon Oh, Canasai Kruengkrai, Julien Kloetzer:
Intra-Sentential Subject Zero Anaphora Resolution using Multi-Column Convolutional Neural Network. 1244-1254
Machine Translation and Multilingual Applications (Long Papers)
- Antonios Anastasopoulos, David Chiang, Long Duong:
An Unsupervised Probability Model for Speech-to-Translation Alignment of Low-Resource Languages. 1255-1263 - Alexandra Birch, Omri Abend, Ondrej Bojar, Barry Haddow:
HUME: Human UCCA-Based Evaluation of Machine Translation. 1264-1274 - Jian Ni, Radu Florian:
Improving Multilingual Named Entity Recognition with Wikipedia Entity Type Mapping. 1275-1284 - Long Duong, Hiroshi Kanayama, Tengfei Ma, Steven Bird, Trevor Cohn:
Learning Crosslingual Word Embeddings without Bilingual Corpora. 1285-1295
Neural Sequence-to-Sequence Models (Long Papers)
- Sam Wiseman, Alexander M. Rush:
Sequence-to-Sequence Learning as Beam-Search Optimization. 1296-1306 - Lei Yu, Jan Buys, Phil Blunsom:
Online Segment to Segment Neural Transduction. 1307-1316 - Yoon Kim, Alexander M. Rush:
Sequence-Level Knowledge Distillation. 1317-1327 - Yuta Kikuchi, Graham Neubig, Ryohei Sasano, Hiroya Takamura, Manabu Okumura:
Controlling Output Length in Neural Encoder-Decoders. 1328-1338
Text Mining and NLP Applications (Long + TACL Papers)
- Cole Peterson, Alona Fyshe:
Poet Admits // Mute Cypher: Beam Search to find Mutually Enciphering Poetic Texts. 1339-1347 - Tanmoy Chakraborty, Ramasuri Narayanam:
All Fingers are not Equal: Intensity of References in Scientific Articles. 1348-1358 - Yuan Wang, Yang Xiao, Chao Ma, Zhen Xiao:
Improving Users' Demographic Prediction via the Videos They Talk about. 1359-1368
Knowledge Base and Inference (Long Papers)
- Xiang Ren, Wenqi He, Meng Qu, Lifu Huang, Heng Ji, Jiawei Han:
AFET: Automatic Fine-Grained Entity Typing by Hierarchical Partial-Label Embedding. 1369-1378 - Zhuoyu Wei, Jun Zhao, Kang Liu:
Mining Inference Formulas by Goal-Directed Random Walks. 1379-1388 - Thomas Demeester, Tim Rocktäschel, Sebastian Riedel:
Lifted Rule Injection for Relation Embeddings. 1389-1399 - Alexander H. Miller, Adam Fisch, Jesse Dodge, Amir-Hossein Karimi, Antoine Bordes, Jason Weston:
Key-Value Memory Networks for Directly Reading Documents. 1400-1409
Poster Session B
- Dallas Card, Justin H. Gross, Amber E. Boydstun, Noah A. Smith:
Analyzing Framing through the Casts of Characters in the News. 1410-1420 - Diane J. Litman, Susannah B. F. Paletz, Zahra Rahimi, Stefani Allegretti, Caitlin Rice:
The Teams Corpus and Entrainment in Multi-Party Spoken Dialogues. 1421-1431 - Tao Ding, Shimei Pan:
Personalized Emphasis Framing for Persuasive Message Generation. 1432-1441 - Samuel Louvan, Chetan Naik, Sadhana Kumaravel, Heeyoung Kwon, Niranjan Balasubramanian, Peter Clark:
Cross Sentence Inference for Process Knowledge. 1442-1451 - Yi Yang, Ming-Wei Chang, Jacob Eisenstein:
Toward Socially-Infused Information Extraction: Embedding Authors, Mentions, and Entities. 1452-1461 - Akash Bharadwaj, David R. Mortensen, Chris Dyer, Jaime G. Carbonell:
Phonologically Aware Neural Model for Named Entity Recognition in Low Resource Transfer Settings. 1462-1472 - Youssef Oualil, Mittul Singh, Clayton Greenberg, Dietrich Klakow:
Long-Short Range Context Neural Networks for Language Modeling. 1473-1481 - Changsong Liu, Shaohua Yang, Sari Saba-Sadiya, Nishant Shukla, Yunzhong He, Song-Chun Zhu, Joyce Yue Chai:
Jointly Learning Grounded Task Structures from Language Instruction and Visual Demonstration. 1482-1492 - Gordon A. Christie, Ankit Laddha, Aishwarya Agrawal, Stanislaw Antol, Yash Goyal, Kevin Kochersberger, Dhruv Batra:
Resolving Language and Vision Ambiguities Together: Joint Segmentation & Prepositional Attachment Resolution in Captioned Scenes. 1493-1503 - John Wieting, Mohit Bansal, Kevin Gimpel, Karen Livescu:
Charagram: Embedding Words and Sentences via Character n-grams. 1504-1515 - Pavel Sountsov, Sunita Sarawagi:
Length bias in Encoder Decoder Models and a Case for Global Conditioning. 1516-1525 - Xing Shi, Inkit Padhi, Kevin Knight:
Does String-Based Neural MT Learn Source Syntax? 1526-1534 - Jiajun Zhang, Chengqing Zong:
Exploiting Source-side Monolingual Data in Neural Machine Translation. 1535-1545 - Marcin Junczys-Dowmunt, Roman Grundkiewicz:
Phrase-based Machine Translation is State-of-the-Art for Automatic Grammatical Error Correction. 1546-1556 - Philip Arthur, Graham Neubig, Satoshi Nakamura:
Incorporating Discrete Translation Lexicons into Neural Machine Translation. 1557-1567 - Barret Zoph, Deniz Yuret, Jonathan May, Kevin Knight:
Transfer Learning for Low-Resource Neural Machine Translation. 1568-1575 - Deepak P:
MixKMeans: Clustering Question-Answer Archives. 1576-1585 - Preslav Nakov, Lluís Màrquez, Francisco Guzmán:
It Takes Three to Tango: Triangulation Approach to Answer Ranking in Community Question Answering. 1586-1597 - Xiaodong He, David Golub:
Character-Level Question Answering with Attention. 1598-1607 - Guillaume Bouchard, Pontus Stenetorp, Sebastian Riedel:
Learning to Generate Textual Data. 1608-1616 - Rik Koncel-Kedziorski, Ioannis Konstas, Luke Zettlemoyer, Hannaneh Hajishirzi:
A Theme-Rewriting Approach for Generating Algebra Word Problems. 1617-1628 - Zhiyang Teng, Duy-Tin Vo, Yue Zhang:
Context-Sensitive Lexicon Features for Neural Sentiment Analysis. 1629-1638 - Lin Gui, Dongyin Wu, Ruifeng Xu, Qin Lu, Yu Zhou:
Event-Driven Emotion Cause Extraction with Corpus Construction. 1639-1649 - Huimin Chen, Maosong Sun, Cunchao Tu, Yankai Lin, Zhiyuan Liu:
Neural Sentiment Classification with User and Product Attention. 1650-1659 - Jiacheng Xu, Danlu Chen, Xipeng Qiu, Xuanjing Huang:
Cached Long Short-Term Memory Neural Networks for Document-Level Sentiment Classification. 1660-1669 - Zhiting Hu, Zichao Yang, Ruslan Salakhutdinov, Eric P. Xing:
Deep Neural Networks with Massive Learned Knowledge. 1670-1679 - Mohammad Taher Pilehvar, Nigel Collier:
De-Conflated Semantic Representations. 1680-1690 - Thomas Kober, Julie Weeds, Jeremy Reffin, David J. Weir:
Improving Sparse Word Representations with Distributional Inference for Semantic Composition. 1691-1702 - Pengfei Liu, Xipeng Qiu, Yaqian Zhou, Jifan Chen, Xuanjing Huang:
Modelling Interaction of Sentence Pair with Coupled-LSTMs. 1703-1712 - Aaron Steven White, Dee Ann Reisinger, Keisuke Sakaguchi, Tim Vieira, Sheng Zhang, Rachel Rudinger, Kyle Rawlins, Benjamin Van Durme:
Universal Decompositional Semantics on Universal Dependencies. 1713-1723 - Yanchuan Sim, Bryan R. Routledge, Noah A. Smith:
Friends with Motives: Using Text to Infer Influence on SCOTUS. 1724-1733 - Kian Kenyon-Dean, Jackie Chi Kit Cheung, Doina Precup:
Verb Phrase Ellipsis Resolution Using Discriminative and Margin-Infused Algorithms. 1734-1743 - Adhiguna Kuncoro, Miguel Ballesteros, Lingpeng Kong, Chris Dyer, Noah A. Smith:
Distilling an Ensemble of Greedy Dependency Parsers into One MST Parser. 1744-1753 - Wenduan Xu:
LSTM Shift-Reduce CCG Parsing. 1754-1764 - Homa B. Hashemi, Rebecca Hwa:
An Evaluation of Parser Robustness for Ungrammatical Sentences. 1765-1774 - Dipendra Kumar Misra, Yoav Artzi:
Neural Shift-Reduce CCG Semantic Parsing. 1775-1786 - Xiangyan Sun, Haixun Wang, Yanghua Xiao, Zhongyuan Wang:
Syntactic Parsing of Web Queries. 1787-1796 - Hongliang Yu, Shikun Zhang, Louis-Philippe Morency:
Unsupervised Text Recap Extraction for TV Series. 1797-1806 - Markus Dollmann, Michaela Geierhos:
On- and Off-Topic Classification and Semantic Annotation of User-Generated Software Requirements. 1807-1816 - Zhen Hai, Peilin Zhao, Peng Cheng, Peng Yang, Xiaoli Li, Guangxia Li:
Deceptive Review Spam Detection via Exploiting Task Relatedness and Unlabeled Data. 1817-1826 - Konstantinos Skianis, François Rousseau, Michalis Vazirgiannis:
Regularizing Text Categorization with Clusters of Words. 1827-1837 - Ji He, Mari Ostendorf, Xiaodong He, Jianshu Chen, Jianfeng Gao, Lihong Li, Li Deng:
Deep Reinforcement Learning with a Combinatorial Action Space for Predicting Popular Reddit Threads. 1838-1848 - Maria Moritz, Andreas Wiederhold, Barbara Pavlek, Yuri Bizzoni, Marco Büchler:
Non-Literal Text Reuse in Historical Texts: An Approach to Identify Reuse Transformations and its Application to Bible Reuse. 1849-1859 - Antoine J.-P. Tixier, Fragkiskos D. Malliaros, Michalis Vazirgiannis:
A Graph Degeneracy-based Approach to Keyword Extraction. 1860-1870 - Elliot Schumacher, Maxine Eskénazi, Gwen A. Frishkoff, Kevyn Collins-Thompson:
Predicting the Relative Difficulty of Single Sentences With and Without Surrounding Context. 1871-1881 - Kaveh Taghipour, Hwee Tou Ng:
A Neural Approach to Automated Essay Scoring. 1882-1891 - Weibo Wang, Abidalrahman Moh'd, Aminul Islam, Axel J. Soto, Evangelos E. Milios:
Non-uniform Language Detection in Technical Writing. 1892-1900 - Shamil Chollampatt, Duc Tam Hoang, Hwee Tou Ng:
Adapting Grammatical Error Correction Based on the Native Language of Writers with Neural Network Joint Models. 1901-1911 - Anoop Kunchukuttan, Pushpak Bhattacharyya:
Orthographic Syllable as basic unit for SMT between Related Languages. 1912-1917 - Nicholas Locascio, Karthik Narasimhan, Eduardo DeLeon, Nate Kushman, Regina Barzilay:
Neural Generation of Regular Expressions from Natural Language with Minimal Domain Knowledge. 1918-1923 - Lucas Sterckx, Cornelia Caragea, Thomas Demeester, Chris Develder:
Supervised Keyphrase Extraction as Positive Unlabeled Learning. 1924-1929 - Alvaro Morales, Varot Premtoon, Cordelia Avery, Sue Felshin, Boris Katz:
Learning to Answer Questions from Wikipedia Infoboxes. 1930-1935 - Savelie Cornegruta, Andreas Vlachos:
Timeline extraction using distant supervision and joint inference. 1936-1942 - Nazneen Fatema Rajani, Raymond J. Mooney:
Combining Supervised and Unsupervised Enembles for Knowledge Base Population. 1943-1948 - Kazuya Kawakami, Chris Dyer, Bryan R. Routledge, Noah A. Smith:
Character Sequence Models for Colorful Words. 1949-1954 - Aishwarya Agrawal, Dhruv Batra, Devi Parikh:
Analyzing the Behavior of Visual Question Answering Models. 1955-1960 - Subhashini Venugopalan, Lisa Anne Hendricks, Raymond J. Mooney, Kate Saenko:
Improving LSTM-based Video Description with Linguistic Knowledge Mined from Text. 1961-1966 - Emmanuele Chersoni, Enrico Santus, Alessandro Lenci, Philippe Blache, Chu-Ren Huang:
Representing Verbs with Rich Contexts: an Evaluation on Verb Similarity. 1967-1972 - Tim Vieira, Ryan Cotterell, Jason Eisner:
Speed-Accuracy Tradeoffs in Tagging with Variable-Order CRFs and Structured Sparsity. 1973-1978 - Yitong Li, Trevor Cohn, Timothy Baldwin:
Learning Robust Representations of Text. 1979-1985 - Kewei Tu:
Modified Dirichlet Distribution: Allowing Negative Parameters to Induce Stronger Sparsity. 1986-1991 - Yasumasa Miyamoto, Kyunghyun Cho:
Gated Word-Character Recurrent Language Model. 1992-1997 - Hidetaka Kamigaito, Akihiro Tamura, Hiroya Takamura, Manabu Okumura, Eiichiro Sumita:
Unsupervised Word Alignment by Agreement Under ITG Constraint. 1998-2004 - Miguel Ballesteros, Yoav Goldberg, Chris Dyer, Noah A. Smith:
Training with Exploration Improves a Greedy Stack LSTM Parser. 2005-2010 - Lei Sha, Sujian Li, Baobao Chang, Zhifang Sui, Tingsong Jiang:
Capturing Argument Relationship for Chinese Semantic Role Labeling. 2011-2016 - Haoyan Xu, Brian Murphy, Alona Fyshe:
BrainBench: A Brain-Image Test Suite for Distributional Semantic Models. 2017-2021 - Yonatan Bisk, Siva Reddy, John Blitzer, Julia Hockenmaier, Mark Steedman:
Evaluating Induced CCG Parsers on Grounded Semantic Parsing. 2022-2027 - Marianna Apidianaki:
Vector-space models for PPDB paraphrase ranking in context. 2028-2034 - Malika Aubakirova, Mohit Bansal:
Interpreting Neural Networks to Improve Politeness Comprehension. 2035-2041 - Laura Smith, Salvatore Giorgi, Rishi Solanki, Johannes C. Eichstaedt, H. Andrew Schwartz, Muhammad Abdul-Mageed, Anneke Buffone, Lyle H. Ungar:
Does 'well-being' translate on Twitter? 2042-2047 - Smitha Milli, David Bamman:
Beyond Canonical Texts: A Computational Analysis of Fanfiction. 2048-2053 - Masoud Rouhizadeh, Lyle H. Ungar, Anneke Buffone, H. Andrew Schwartz:
Using Syntactic and Semantic Context to Explore Psychodemographic Differences in Self-reference. 2054-2059 - Gözde Özbal, Carlo Strapparava, Serra Sinem Tekiroglu, Daniele Pighin:
Learning to Identify Metaphors from a Corpus of Proverbs. 2060-2065 - Peter Kraft, Hirsh Jain, Alexander M. Rush:
An Embedding Model for Predicting Roll-Call Votes. 2066-2070 - Young-Bum Kim, Alexandre Rochette, Ruhi Sarikaya:
Natural Language Model Re-usability for Scaling to Different Domains. 2071-2076 - Gakuto Kurata, Bing Xiang, Bowen Zhou, Mo Yu:
Leveraging Sentence-level Information with Encoder LSTM for Semantic Slot Filling. 2077-2083 - Linfeng Song, Yue Zhang, Xiaochang Peng, Zhiguo Wang, Daniel Gildea:
AMR-to-text generation as a Traveling Salesman Problem. 2084-2089 - Raymond Hendy Susanto, Hai Leong Chieu, Wei Lu:
Learning to Capitalize with Character-Level Recurrent Neural Networks: An Empirical Study. 2090-2095 - Christopher Rohlfs, Sunandan Chakraborty, Lakshminarayanan Subramanian:
The Effects of the Content of FOMC Communications on US Treasury Rates. 2096-2102 - Youyang Gu, Tao Lei, Regina Barzilay, Tommi S. Jaakkola:
Learning to refine text based recommendations. 2103-2108 - Courtney Napoles, Keisuke Sakaguchi, Joel R. Tetreault:
There's No Comparison: Reference-less Evaluation Metrics in Grammatical Error Correction. 2109-2115 - William L. Hamilton, Jure Leskovec, Dan Jurafsky:
Cultural Shift or Linguistic Drift? Comparing Two Computational Measures of Semantic Change. 2116-2121
Dialogue Systems (Long Papers)
- Chia-Wei Liu, Ryan Lowe, Iulian Serban, Michael Noseworthy, Laurent Charlin, Joelle Pineau:
How NOT To Evaluate Your Dialogue System: An Empirical Study of Unsupervised Evaluation Metrics for Dialogue Response Generation. 2122-2132 - Hiroki Ouchi, Yuta Tsuboi:
Addressee and Response Selection for Multi-Party Conversation. 2133-2143 - Kei Wakabayashi, Johane Takeuchi, Kotaro Funakoshi, Mikio Nakano:
Nonparametric Bayesian Models for Spoken Language Understanding. 2144-2152 - Tsung-Hsien Wen, Milica Gasic, Nikola Mrksic, Lina Maria Rojas-Barahona, Pei-Hao Su, Stefan Ultes, David Vandyke, Steve J. Young:
Conditional Generation and Snapshot Learning in Neural Dialogue Systems. 2153-2162
Semantic Similarity (Long Papers)
- Stephen Roller, Katrin Erk:
Relations such as Hypernymy: Identifying and Exploiting Hearst Patterns in Distributional Vectors for Lexical Entailment. 2163-2172 - Daniela Gerz, Ivan Vulic, Felix Hill, Roi Reichart, Anna Korhonen:
SimVerb-3500: A Large-Scale Evaluation Set of Verb Similarity. 2173-2182 - Adam Grycner, Gerhard Weikum:
POLY: Mining Relational Paraphrases from Multilingual Sentences. 2183-2192 - Tao Li, Vivek Srikumar:
Exploiting Sentence Similarities for Better Alignments. 2193-2203
Dependency Parsing (Long + TACL Papers)
- Hao Cheng, Hao Fang, Xiaodong He, Jianfeng Gao, Li Deng:
Bi-directional Attention with Agreement for Dependency Parsing. 2204-2214 - Yevgeni Berzak, Yan Huang, Andrei Barbu, Anna Korhonen, Boris Katz:
Anchoring and Agreement in Syntactic Annotations. 2215-2224
Short Paper Oral Session I
- Ellie Pavlick, Chris Callison-Burch:
Tense Manages to Predict Implicative Behavior in Verbs. 2225-2229 - Takeshi Onishi, Hai Wang, Mohit Bansal, Kevin Gimpel, David A. McAllester:
Who did What: A Large-Scale Person-Centered Cloze Dataset. 2230-2235 - Koji Mineshima, Ribeka Tanaka, Pascual Martínez-Gómez, Yusuke Miyao, Daisuke Bekki:
Building compositional semantics and higher-order inference system for a wide-coverage Japanese CCG parser. 2236-2242 - Will Monroe, Noah D. Goodman, Christopher Potts:
Learning to Generate Compositional Color Descriptions. 2243-2248 - Ankur P. Parikh, Oscar Täckström, Dipanjan Das, Jakob Uszkoreit:
A Decomposable Attention Model for Natural Language Inference. 2249-2255 - Kevin Clark, Christopher D. Manning:
Deep Reinforcement Learning for Mention-Ranking Coreference Models. 2256-2262 - Lianhui Qin, Zhisong Zhang, Hai Zhao:
A Stacking Gated Neural Architecture for Implicit Discourse Relation Classification. 2263-2270
Short Paper Oral Session II
- Toshiaki Nakazawa, John Richardson, Sadao Kurohashi:
Insertion Position Selection Model for Flexible Non-Terminals in Dependency Tree-to-Tree Machine Translation. 2271-2277 - Xing Shi, Kevin Knight, Deniz Yuret:
Why Neural Translations are the Right Length. 2278-2282 - Haitao Mi, Zhiguo Wang, Abe Ittycheriah:
Supervised Attentions for Neural Machine Translation. 2283-2288 - Mikel Artetxe, Gorka Labaka, Eneko Agirre:
Learning principled bilingual mappings of word embeddings while preserving monolingual invariance. 2289-2294 - Ben Russell, Duncan Gillespie:
Measuring the behavioral impact of machine translation quality improvements with A/B testing. 2295-2299 - Gabriel Stanovsky, Ido Dagan:
Creating a Large Benchmark for Open Information Extraction. 2300-2305 - Changxing Wu, Xiaodong Shi, Yidong Chen, Yanzhou Huang, Jinsong Su:
Bilingually-constrained Synthetic Data for Implicit Discourse Relation Recognition. 2306-2312
Short Paper Oral Session III
- Jacob Buckman, Miguel Ballesteros, Chris Dyer:
Transition-Based Dependency Parsing with Heuristic Backtracking. 2313-2318 - Allen Schmaltz, Alexander M. Rush, Stuart M. Shieber:
Word Ordering Without Syntax. 2319-2324 - Ryan Cotterell, Arun Kumar, Hinrich Schütze:
Morphological Segmentation Inside-Out. 2325-2330 - Do Kook Choe, Eugene Charniak:
Parsing as Language Modeling. 2331-2336 - Luheng He, Julian Michael, Mike Lewis, Luke Zettlemoyer:
Human-in-the-Loop Parsing. 2337-2342 - Sandro Bauer, Simone Teufel:
Unsupervised Timeline Generation for Wikipedia History Articles. 2343-2349 - Tingsong Jiang, Tianyu Liu, Tao Ge, Lei Sha, Sujian Li, Baobao Chang, Zhifang Sui:
Encoding Temporal Information for Time-Aware Link Prediction. 2350-2354
Best Papers
- Karthik Narasimhan, Adam Yala, Regina Barzilay:
Improving Information Extraction by Acquiring External Evidence with Reinforcement Learning. 2355-2365 - Kenton Lee, Mike Lewis, Luke Zettlemoyer:
Global Neural CCG Parsing with Optimality Guarantees. 2366-2376 - Oliver Adams, Graham Neubig, Trevor Cohn, Steven Bird, Quoc Truong Do, Satoshi Nakamura:
Learning a Lexicon and Translation Model from Phoneme Lattices. 2377-2382 - Pranav Rajpurkar, Jian Zhang, Konstantin Lopyrev, Percy Liang:
SQuAD: 100, 000+ Questions for Machine Comprehension of Text. 2383-2392
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