The below lists the accepted long and short papers as well as software demonstrations for ACL 2017, in no particular order. Congratulations, authors!
Accepted Long Papers
Biomedical
- Enriching Complex Networks with Word Embeddings for Detecting Mild Cognitive Impairment from Speech Transcripts
Authors: Leandro Santos, Edilson Anselmo Corrêa Júnior, Osvaldo Oliveira Jr, Diego Amancio, Letícia Mansur and Sandra Aluísio
Cognitive Modelling and Psycholinguistics
- Alignment at Work: Using Language to Distinguish the Internalization and Self-Regulation Components of Cultural Fit in Organizations
Authors: Gabriel Doyle, Amir Goldberg, Sameer Srivastava and Michael Frank - Representations of language in a model of visually grounded speech signal
Authors: Grzegorz Chrupała, Lieke Gelderloos and Afra Alishahi - Spectral Analysis of Information Density in Dialogue Predicts Collaborative Task Performance
Authors: Yang Xu and David Reitter
Dialog Interactive Systems
- Adversarial Adaptation of Synthetic or Stale Data
Authors: Young-Bum Kim, Karl Stratos and Dongchan Kim - Affect-LM: A Neural Language Model for Customizable Affective Text Generation
Authors: Sayan Ghosh, Mathieu Chollet, Eugene Laksana, Stefan Scherer and Louis-Philippe Morency - Chat Detection in Intelligent Assistant: Combining Task-oriented and Non-task-oriented Spoken Dialogue Systems
Authors: Satoshi Akasaki and Nobuhiro Kaji - Domain Attention with an Ensemble of Experts
Authors: Young-Bum Kim, Karl Stratos and Dongchan Kim - Generating Contrastive Referring Expressions
Authors: Martin Villalba, Christoph Teichmann and Alexander Koller - Hybrid Code Networks: practical and efficient end-to-end dialog control with supervised and reinforcement learning
Authors: Jason D Williams, Kavosh Asadi and Geoffrey Zweig - Joint Modeling of Content and Discourse Relations in Dialogues
Authors: Kechen Qin, Lu Wang, Joseph Kim and Julie Shah - Learning Discourse-level Diversity for Neural Dialog Models using Conditional Variational Autoencoders
Authors: Tiancheng Zhao, Ran Zhao and Maxine Eskenazi - Learning Symmetric Collaborative Dialogue Agents with Dynamic Knowledge Graph Embeddings
Authors: He He, Anusha Balakrishnan, Mihail Eric and Percy Liang - Neural Belief Tracker: Data-Driven Dialogue State Tracking
Authors: Nikola Mrkšić, Diarmuid Ó Séaghdha, Tsung-Hsien Wen, Blaise Thomson and Steve Young - Sequential Matching Network: A New Architecture for Multi-turn Response Selection in Retrieval-based Chatbots
Authors: Yu Wu, Wei Wu, Chen Xing, Ming Zhou and Zhoujun Li - Towards an Automatic Turing Test: Learning to Evaluate Dialogue Responses
Authors: Ryan Lowe, Michael Noseworthy, Iulian Vlad Serban, Nicolas Angelard-Gontier, Yoshua Bengio and Joelle Pineau - Towards End-to-End Reinforcement Learning of Dialogue Agents for Information Access
Authors: Bhuwan Dhingra, Lihong Li, Xiujun Li, Jianfeng Gao, Yun-Nung Chen, Faisal Ahmed and Li Deng
Discourse Pragmatics
- A Neural Local Coherence Model
- Adversarial Connective-exploiting Networks for Implicit Discourse Relation Classification
Authors: Lianhui Qin, Zhisong Zhang, Hai Zhao, Eric Xing and Zhiting Hu - Argument Mining with Structured SVMs and RNNs
Authors: Vlad Niculae, Claire Cardie and Joonsuk Park - Discourse Mode Identification in Essays
Authors: Wei Song - Don’t understand a measure? Learn it: Structured Prediction for Coreference Resolution optimizing its measures
Authors: Iryna Haponchyk and Alessandro Moschitti - Generating and Exploiting Large-scale Pseudo Training Data for Zero Pronoun Resolution
Authors: Ting Liu, Yiming Cui, Qingyu Yin, Wei-Nan Zhang, Shijin Wang and Guoping Hu - Neural Discourse Structure for Text Categorization
Authors: Yangfeng Ji and Noah A. Smith - Supervised Learning for Event Reference Interpretation
Generation Summarization
- Abstractive Document Summarization with a Graph-Based Attentional Neural Model
Authors: Jiwei Tan and Xiaojun Wan - Automatically Generating Rhythmic Verse with Neural Networks
Authors: Jack Hopkins and Douwe Kiela - Can Syntax Help? Improving an LSTM-based Sentence Compression Model for New Domains
Authors: Liangguo Wang, Jing Jiang, Hai Leong Chieu, Hui Ong Ong, Dandan Song and Lejian Liao - Data-Driven Broad-Coverage Grammars for Opinionated Natural Language Generation (ONLG)
Authors: Tomer Cagan, Stefan L. Frank and Reut Tsarfaty - Diversity driven attention model for query-based abstractive summarization
Authors: Preksha Nema, Mitesh M. Khapra, Balaraman Ravindran and Anirban Laha - Flexible and Creative Chinese Poetry Generation Using Neural Memory
Authors: Jiyuan Zhang, Yang Feng, Dong Wang, Yang Wang, Andrew Abel, Shiyue Zhang and Andi Zhang - Get To The Point: Summarization with Pointer-Generator Networks
Authors: Abigail See, Peter J. Liu and Christopher D. Manning - Joint Optimization of User-desired Content in Multi-document Summaries by Learning from User Feedback
Authors: Avinesh PVS and Christian M. Meyer - Learning to Ask: Neural Question Generation for Reading Comprehension
Authors: Xinya Du, Junru Shao and Claire Cardie - Learning to Generate Market Comments from Stock Prices
Authors: Soichiro Murakami, Akihiko Watanabe, Akira Miyazawa, Keiichi Goshima, Toshihiko Yanase, Hiroya Takamura and Yusuke Miyao - Neural AMR: Sequence-to-Sequence Models for Parsing and Generation
Authors: Ioannis Konstas, Srinivasan Iyer, Mark Yatskar, Yejin Choi and Luke Zettlemoyer - PositionRank: An Unsupervised Approach to Keyphrase Extraction from Scholarly Documents
Authors: Corina Florescu and Cornelia Caragea - Program Induction for Rationale Generation: Learning to Solve and Explain Algebraic Word Problems
Authors: Wang Ling, Dani Yogatama, Chris Dyer and Phil Blunsom - Selective Encoding for Abstractive Sentence Summarization
Authors: Qingyu Zhou, Nan Yang, Furu Wei and Ming Zhou - Supervised Learning of Automatic Pyramid for Optimization-Based Multi-Document Summarization
Authors: Maxime Peyrard and Judith Eckle-Kohler
IE QA Text Mining Applications
- A Constituent-Centric Neural Architecture for Reading Comprehension
Authors: Pengtao Xie and Eric Xing - A FOFE-based Local Detection Approach for Named Entity Recognition and Mention Detection
Authors: Mingbin Xu, Hui Jiang and Sedtawut Watcharawittayakul - Adversarial Multi-task Learning for Text Classification
Authors: Pengfei Liu, Xipeng Qiu and Xuanjing Huang - An End-to-End Model for Question Answering over Knowledge Base with Cross-Attention Combining Global Knowledge
Authors: Yanchao Hao, Yuanzhe Zhang, Shizhu He, Kang Liu and Jun Zhao - Attention-over-Attention Neural Networks for Reading Comprehension
Authors: Yiming Cui, Zhipeng Chen, si wei, Shijin Wang, Ting Liu and Guoping Hu - Automatically Labeled Data Generation for Large Scale Event Extraction
Authors: Yubo Chen, Kang Liu and Jun Zhao - Coarse-to-Fine Question Answering for Long Documents
Authors: Eunsol Choi, Daniel Hewlett, Illia Polosukhin, Alexandre Lacoste, Jakob Uszkoreit and Jonathan Berant - Comparing Apples to Apples: Learning Semantics of Common Entities Through a Novel Comprehension Task
Authors: Omid Bakhshandeh and James Allen - Cross-lingual Distillation for Text Classification
Authors: Ruochen Xu and Yiming Yang - Deep Keyphrase Generation
Authors: Rui Meng, Daqing He, Sanqiang Zhao and Shuguang Han - Deep Pyramid Convolutional Neural Networks for Text Categorization
Authors: Rie Johnson and Tong Zhang - Determining Gains Acquired from Word Embedding Quantitatively using Discrete Distribution Clustering
Authors: Jianbo Ye, Yanran Li, Zhaohui Wu, James Z. Wang and Jia Li - Exploiting Argument Information to Improve Event Detection via Supervised Attention Mechanisms
Authors: Shulin Liu, Kang Liu and Jun Zhao - Gated Self-Matching Networks for Reading Comprehension and Question Answering
Authors: Wenhui Wang, Nan Yang, Furu Wei, Baobao Chang and Ming Zhou - Gated-Attention Readers for Text Comprehension
Authors: Bhuwan Dhingra, Hanxiao Liu, Zhilin Yang, William Cohen and Ruslan Salakhutdinov - Generating Natural Answer by Incorporating Copying and Retrieving Mechanisms in Sequence-to-Sequence Learning
Authors: Shizhu He, Kang Liu and Jun Zhao - Going out on a limb : Joint Extraction of Entity Mentions and Relations without Dependency Trees
Authors: Arzoo Katiyar and Claire Cardie - Improved Neural Relation Detection for Knowledge Base Question Answering
Authors: Mo Yu, Wenpeng Yin, Kazi Saidul Hasan, Cicero dos Santos, Bing Xiang and Bowen Zhou - Joint Extraction of Entities and Relations Based on a Novel Tagging Scheme
Authors: Suncong Zheng, Feng Wang and Hongyun Bao - Joint Extraction of Relations with Class Ties via Effective Deep Ranking
Authors: Hai Ye, Wenhan Chao and Zhunchen Luo - Learning with Noise: Enhance Distantly Supervised Relation Extraction with Dynamic Transition Matrix
Authors: Bingfeng Luo, Yansong Feng, Zheng Wang, Zhanxing Zhu, Songfang Huang, Rui Yan and Dongyan Zhao - Leveraging Knowledge Bases in LSTMs for Improving Machine Reading
Authors: Bishan Yang and Tom Mitchell - Neural End-to-End Learning for Computational Argumentation Mining
Authors: Steffen Eger, Johannes Daxenberger and Iryna Gurevych - Neural Relation Extraction with Multi-lingual Attention
Authors: Yankai Lin, Zhiyuan Liu and Maosong Sun - Neural Symbolic Machines: Learning Semantic Parsers on Freebase with Weak Supervision
Authors: Chen Liang, Jonathan Berant, Quoc Le, Kenneth D. Forbus and Ni Lao - Prerequisite Relation Learning for Concepts in MOOCs
Authors: Liangming Pan, Chengjiang Li, Juanzi Li and Jie Tang - Reading Wikipedia to Answer Open-Domain Questions
Authors: Danqi Chen, Adam Fisch, Jason Weston and Antoine Bordes - Search-based Neural Structured Learning for Sequential Question Answering
Authors: Mohit Iyyer, Wen-tau Yih and Ming-Wei Chang - Tandem Anchoring: a Multiword Anchor Approach for Interactive Topic Modeling
Authors: Jeffrey Lund, Connor Cook, Kevin Seppi and Jordan Boyd-Graber - Time Expression Analysis and Recognition Using Syntactic Types and Simple Heuristic Rules
- Topical Coherence in LDA-based Models through Induced Segmentation
Authors: Hesam Amoualian, Wei Lu, Eric Gaussier, Massih R Amini, Georgios Balikas and Marianne Clausel - Towards a Seamless Integration of Word Senses into Downstream NLP Applications
Authors: Mohammad Taher Pilehvar, Jose Camacho-Collados, Roberto Navigli and Nigel Collier - Transductive Non-linear Learning for Chinese Hypernym Prediction
Authors: Chengyu Wang, Xiaofeng He and Aoying Zhou - Understanding and Predicting Empathic Behavior in Counseling Therapy
Authors: Verónica Pérez-Rosas, Rada Mihalcea, Kenneth Resnicow, Satinder Singh and Lawrence An - Unsupervised Text Segmentation Based on Native Language Characteristics
Authors: Shervin Malmasi, Mark Dras, Mark Johnson, Lan Du and Magdalena Wolska - Vancouver Welcomes You! Minimalist Location Metonymy Resolution
Authors: Milan Gritta, Mohammad Taher Pilehvar, Nut Limsopatham and Nigel Collier - Weakly Supervised Cross-Lingual Named Entity Recognition via Effective Annotation and Representation Projection
Authors: Jian Ni, Georgiana Dinu and Radu Florian
Machine Learning
- An Algebra for Feature Extraction
Authors: Vivek Srikumar - Bayesian Modeling of Lexical Resources for Low-Resource Settings
Authors: Nicholas Andrews, Jason Eisner, Mark Dredze and Benjamin Van Durme - Context Sensitive Lemmatization Using Two Successive Bidirectional Gated Recurrent Networks
Authors: Abhisek Chakrabarty, Onkar Arun Pandit and Utpal Garain - Deep Learning in Semantic Kernel Spaces
Authors: Danilo Croce, Simone Filice, Giuseppe Castellucci and Roberto Basili - From Language to Programs: Bridging Reinforcement Learning and Maximum Marginal Likelihood
Authors: Kelvin Guu, Panupong Pasupat, Evan Liu and Percy Liang - Learning attention for historical text normalization by learning to pronounce
Authors: Marcel Bollmann, Joachim Bingel and Anders Søgaard - Learning to Create and Reuse Words in Open-Vocabulary Neural Language Modeling
Authors: Kazuya Kawakami, Chris Dyer and Phil Blunsom - Learning to Skim Text
Authors: Adams Wei Yu, Quoc Le and Hongrae Lee - Multi-space Variational Encoder-Decoders for Semi-supervised Labeled Sequence Transduction
Authors: Chunting Zhou and Graham Neubig - Probabilistic Typology: Deep Generative Models of Vowel Inventories
Authors: Ryan Cotterell and Jason Eisner - Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling
Authors: Zhe Gan, Chunyuan Li, Changyou Chen, Yunchen Pu, Qinliang Su and Lawrence Carin - Semi-Supervised QA with Generative Domain-Adaptive Nets
Authors: Zhilin Yang, Junjie Hu, Ruslan Salakhutdinov and William Cohen - Topically Driven Neural Language Model
Authors: Jey Han Lau, Timothy Baldwin and Trevor Cohn
Machine Translation
- A Convolutional Encoder Model for Neural Machine Translation
Authors: Jonas Gehring, Michael Auli, David Grangier and Yann Dauphin - A Teacher-Student Framework for Zero-Resource Neural Machine Translation
Authors: Yun Chen, Yang Liu, Yong Cheng and Victor O.K. Li - Bandit Structured Prediction for Neural Sequence-to-Sequence Learning
Authors: Julia Kreutzer, Artem Sokolov and Stefan Riezler - Chunk-based Decoder for Neural Machine Translation
Authors: Shonosuke Ishiwatari, Jingtao Yao, Shujie Liu, Mu Li, Ming Zhou, Naoki Yoshinaga, Masaru Kitsuregawa and Weijia Jia - Deep Neural Machine Translation with Linear Associative Unit
Authors: Mingxuan Wang, Zhengdong Lu, Jie Zhou and Qun Liu - Doubly-Attentive Decoder for Multi-modal Neural Machine Translation
Authors: Iacer Calixto, Qun Liu and Nick Campbell - Improved Neural Machine Translation with a Syntax-Aware Encoder and Decoder
Authors: Huadong Chen, Shujian Huang, David Chiang and Jiajun Chen - Incorporating Word Reordering Knowledge into Attention-based Neural Machine Translation
Authors: Jinchao Zhang, Mingxuan Wang, Qun Liu and Jie Zhou - Lexically Constrained Decoding for Sequence Generation Using Grid Beam Search
Authors: Chris Hokamp and Qun Liu - Modeling Source Syntax for Neural Machine Translation
Authors: Junhui Li, Deyi Xiong, Zhaopeng Tu, Muhua Zhu and Guodong Zhou - Neural Machine Translation via Binary Code Prediction
Authors: Yusuke Oda, Philip Arthur, Graham Neubig, Koichiro Yoshino and Satoshi Nakamura - Prior Knowledge Integration for Neural Machine Translation using Posterior Regularization
Authors: Jiacheng Zhang, Yang Liu, Huanbo Luan, Jingfang Xu and Maosong Sun - Sequence-to-Dependency Neural Machine Translation
Authors: Shuangzhi Wu, Dongdong Zhang, Nan Yang, Mu Li and Ming Zhou - Visualizing and Understanding Neural Machine Translation
Authors: Yanzhuo Ding, Yang Liu, Huanbo Luan and Maosong Sun - What do Neural Machine Translation Models Learn about Morphology?
Authors: Yonatan Belinkov, Nadir Durrani, Fahim Dalvi, Hassan Sajjad and James Glass
Multidisciplinary
- A Nested Attention Neural Hybrid Model for Grammatical Error Correction
Authors: Jianshu Ji, Qinlong Wang, Kristina Toutanova, Yongen Gong, Steven Truong and Jianfeng Gao - Combating Human Trafficking with Multimodal Deep Models
Authors: Edmund Tong, Amir Zadeh and Louis-Philippe Morency - Friendships, Rivalries, and Trysts: Characterizing Relations between Ideas in Texts
Authors: Chenhao Tan, Dallas Card and Noah A. Smith - TextFlow: A Text Similarity Measure based on Continuous Sequences
Authors: Yassine Mrabet, Halil Kilicoglu and Dina Demner-Fushman
Multilingual
- Adversarial Training for Unsupervised Bilingual Lexicon Induction
Authors: Meng Zhang, Yang Liu, Huanbo Luan and Maosong Sun - Cross-lingual Name Tagging and Linking for 282 Languages
Authors: Xiaoman Pan, Boliang Zhang, Jonathan May, Joel Nothman, Kevin Knight and Heng Ji - Estimating Code-Switching on Twitter with a Novel Generalized Word-Level Language Detection Technique
Authors: Shruti Rijhwani, Royal Sequiera, Monojit Choudhury, Kalika Bali and Chandra Shekhar Maddila - Found in Translation: Reconstructing Phylogenetic Language Trees from Translations
Authors: Ella Rabinovich, Noam Ordan and Shuly Wintner - Predicting Native Language from Gaze
Authors: Yevgeni Berzak, Chie Nakamura, Suzanne Flynn and Boris Katz - Using Global Constraints and Reranking to Improve Cognates Detection
Authors: Michael Bloodgood and Benjamin Strauss
Phonology Morphology Word Segmentation
- Adversarial Multi-Criteria Learning for Chinese Word Segmentation
Authors: Xinchi Chen, Zhan Shi, Xipeng Qiu and Xuanjing Huang - From Characters to Words to in Between: Do We Capture Morphology?
Authors: Clara Vania and Adam Lopez - Morphological Inflection Generation with Hard Monotonic Attention
Authors: Roee Aharoni and Yoav Goldberg - MORSE: Semantic-ally Drive-n MORpheme SEgment-er
Authors: Tarek Sakakini, Suma Bhat and Pramod Viswanath - One-Shot Neural Cross-Lingual Transfer for Paradigm Completion
Authors: Katharina Kann, Ryan Cotterell and Hinrich Schütze
Resources Evaluation
- A Corpus of Annotated Revisions for Studying Argumentative Writing
Authors: Fan Zhang, Homa B. Hashemi, Rebecca Hwa and Diane Litman - Automatic Annotation and Evaluation of Error Types for Grammatical Error Correction
Authors: Christopher Bryant, Mariano Felice and Ted Briscoe - Detecting annotation noise in automatically labelled data
Authors: Ines Rehbein - Evaluation Metrics for Reading Comprehension: Prerequisite Skills and Readability
Authors: Saku Sugawara, Yusuke Kido, Hikaru Yokono and Akiko Aizawa - MalwareTextDB: A Database for Annotated Malware Articles
Authors: Swee Kiat Lim, Aldrian Obaja Muis, Wei Lu and Chen Hui Ong - Polish evaluation dataset for compositional distributional semantics models
Authors: Alina Wróblewska and Katarzyna Krasnowska-Kieraś
Semantics
- A Progressive Learning Approach to Chinese SRL Using Heterogeneous Data
Authors: Qiaolin Xia, Zhifang Sui and Baobao Chang - A Syntactic Neural Model for General-Purpose Code Generation
Authors: Pengcheng Yin and Graham Neubig - Abstract Meaning Representation Parsing using LSTM Recurrent Neural Networks
Authors: William Foland and James H. Martin - Abstract Syntax Networks for Code Generation and Semantic Parsing
Authors: Maxim Rabinovich, Mitchell Stern and Dan Klein - An Interpretable Knowledge Transfer Model for Knowledge Base Completion
Authors: Qizhe Xie, Xuezhe Ma, Zihang Dai and Eduard Hovy - Automatic Induction of Synsets from a Graph of Synonyms
Authors: Dmitry Ustalov, Alexander Panchenko and Chris Biemann - Bridge Text and Knowledge by Learning Multi-Prototype Entity Mention Embedding
Authors: Yixin Cao, Lifu Huang, Heng Ji, Xu Chen and Juanzi Li - Broad-Coverage Transition-Based UCCA Parsing
- Deep Multitask Learning for Semantic Dependency Parsing
Authors: Hao Peng, Sam Thomson and Noah A. Smith - Deep Semantic Role Labeling: What Works and What’s Next
Authors: Luheng He, Kenton Lee, Mike Lewis and Luke Zettlemoyer - Enhanced LSTM for Natural Language Inference
Authors: Qian Chen, Xiaodan Zhu, Zhen-Hua Ling, Si Wei, Hui Jiang and Diana Inkpen - Identifying 1950s American Jazz Composers: Fine-Grained IsA Extraction via Modifier Composition
Authors: Ellie Pavlick and Marius Pasca - Improved Word Representation Learning with Sememes
Authors: Yilin Niu, Ruobing Xie, Zhiyuan Liu and Maosong Sun - Inducing Symbolic Meaning Representations for Semantic Parsing
Authors: Jianpeng Cheng, Siva Reddy, Vijay Saraswat and Mirella Lapata - Interactive Learning for Acquisition of Grounded Verb Semantics towards Human-Robot Communication
Authors: Lanbo She and Joyce Chai - Learning a Neural Semantic Parser from User Feedback
Authors: Srinivasan Iyer, Ioannis Konstas, Alvin Cheung, Jayant Krishnamurthy and Luke Zettlemoyer - Learning bilingual word embeddings with (almost) no bilingual data
Authors: Mikel Artetxe, Gorka Labaka and Eneko Agirre - Learning Character-level Compositionality with Visual Features
Authors: Frederick Liu, Han Lu, Chieh Lo and Graham Neubig - Learning Translational Semantic Correspondences in Technical Documentation
Authors: Kyle Richardson and Jonas Kuhn - Morph-fitting: Fine-Tuning Word Vector Spaces with Simple Language-Specific Rules
Authors: Ivan Vulić, Nikola Mrkšić, Roi Reichart, Diarmuid Ó Séaghdha, Steve Young and Anna Korhonen - Multimodal Word Distributions
Authors: Ben Athiwaratkun and Andrew Wilson - Naturalizing a Programming Language via Interactive Learning
Authors: Sida I. Wang, Sam Ginn, Percy Liang and Christopher D. Manning - Neural Modeling of Multi-Predicate Interactions for Japanese Predicate Argument Structure Analysis
Authors: Hiroki Ouchi, Hiroyuki Shindo and Yuji Matsumoto - Revisiting Recurrent Networks for Paraphrastic Sentence Embeddings
Authors: John Wieting and Kevin Gimpel - Riemannian Optimization for Skip-Gram Negative Sampling
Authors: Alexander Fonarev, Alexey Grinchuk, Gleb Gusev, Pavel Serdyukov and Ivan Oseledets - Semantic Word Clusters Using Signed Spectral Clustering
Authors: Joao Sedoc, Jean Gallier, Dean Foster and Lyle Ungar - Skip-Gram – Zipf + Uniform = Vector Additivity
Authors: Alex Gittens, Dimitris Achlioptas and Michael W. Mahoney - The State of the Art in Semantic Representation
Authors: Omri Abend and Ari Rappoport - TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension
Authors: Mandar Joshi, Eunsol Choi, Daniel Weld and Luke Zettlemoyer - Using Ontology-Grounded Token Embeddings To Predict Prepositional Phrase Attachments
Authors: Pradeep Dasigi, Waleed Ammar, Chris Dyer and Eduard Hovy
Sentiment Analysis Opinion Mining
- A Multidimensional Lexicon for Interpersonal Stancetaking
Authors: Umashanthi Pavalanathan, Jim Fitzpatrick, Scott Kiesling and Jacob Eisenstein - Active Sentiment Domain Adaptation
Authors: Fangzhao Wu and Yongfeng Huang - An Unsupervised Neural Attention Model for Aspect Extraction
Authors: Ruidan He, Wee Sun Lee, Hwee Tou Ng and Daniel Dahlmeier - Handling Cold-Start Problem in Review Spam Detection by Jointly Embedding Texts and Behaviors
Authors: Xuepeng Wang, Jun Zhao and Kang Liu - Learning Cognitive Features from Gaze Data for Sentiment and Sarcasm Classification using Convolutional Neural Network
Authors: Abhijit Mishra, Kuntal Dey and Pushpak Bhattacharyya - Linguistic analysis of differences in portrayal of movie characters
Authors: Anil Ramakrishna, Victor R. Martínez, Nikolaos Malandrakis, Karan Singla and Shrikanth Narayanan - Linguistically Regularized LSTM for Sentiment Classification
Authors: Qiao Qian, Minlie Huang and xiaoyan zhu - Modeling Contextual Relationship Among Utterances in Multimodal Sentiment Analysis
Authors: Soujanya Poria, Devamanyu Hazarika, Navonil Majumder and Erik Cambria - Other Topics You May Also Agree or Disagree: Modeling Inter-Topic Preferences using Tweets and Matrix Factorization
Authors: Akira Sasaki, Kazuaki Hanawa, Naoaki Okazaki and Kentaro Inui - Sarcasm SIGN: Interpreting Sarcasm with Sentiment Based Monolingual Machine Translation
Authors: Lotem Peled and Roi Reichart - Volatility Prediction using Financial Disclosures Sentiments with Word Embedding-based IR Models
Authors: Navid Rekabsaz, Mihai Lupu, Artem Baklanov, Alexander Dür, Linda Andersson and Allan Hanbury
Social Media
- Beyond Binary Labels: Political Ideology Prediction of Twitter Users
Authors: Daniel Preoţiuc-Pietro, Ye Liu, Daniel Hopkins and Lyle Ungar - CANE: Context-Aware Network Embedding for Relation Modeling
Authors: Cunchao Tu, Han Liu, Zhiyuan Liu and Maosong Sun - Detect Rumors in Microblog Posts Using Propagation Structure via Kernel Learning
Authors: Ma Jing, Wei Gao and Kam-Fai Wong - EmoNet: Fine-Grained Emotion Detection with Gated Recurrent Neural Networks
Authors: Muhammad Abdul-Mageed and Lyle Ungar - Leveraging Behavioral and Social Information for Weakly Supervised Collective Classification of Political Discourse on Twitter
Authors: Kristen Johnson and Dan Goldwasser - Unifying Text, Metadata, and User Network Representations with a Neural Network for Geolocation Prediction
Authors: Yasuhide Miura, Motoki Taniguchi, Tomoki Taniguchi and Tomoko Ohkuma
Speech
- Joint CTC-attention End-to-end Speech Recognition
Authors: Shinji Watanabe, Takaaki Hori and John Hershey - Learning Word-Like Units from Joint Audio-Visual Analysis
Tagging Chunking Syntax Parsing
- A Full Non-Monotonic Transition System for Unrestricted Non-Projective Parsing
Authors: Daniel Fernández-González and Carlos Gómez-Rodríguez - A Minimal Span-Based Neural Constituent Parser
Authors: Mitchell Stern, Jacob Andreas and Dan Klein - A* CCG Parsing with a Supertag and Dependency Factored Model
Authors: Masashi Yoshikawa, Hiroshi Noji and Yuji Matsumoto - Aggregating and Predicting Sequence Labels from Crowd Annotations
Authors: An Thanh Nguyen, Byron Wallace, Junyi Jessy Li, Ani Nenkova and Matthew Lease - Generic Axiomatization of Families of Noncrossing Graphs in Dependency Parsing
Authors: Anssi Yli-Jyrä and Carlos Gómez-Rodríguez - Neural Joint Model for Transition-based Chinese Syntactic Analysis
Authors: Shuhei Kurita, Daisuke Kawahara and Sadao Kurohashi - Neural Word Segmentation with Rich Pretraining
Authors: Jie Yang, Yue Zhang and Fei Dong - Robust Incremental Neural Semantic Graph Parsing
Authors: Jan Buys and Phil Blunsom - Semantic Dependency Parsing via Book Embedding
Authors: Weiwei Sun, Junjie Cao and Xiaojun Wan - Semantic Parsing of Pre-university Math Problems
Authors: Takuya Matsuzaki, Takumi Ito, Hidenao Iwane, Hirokazu Anai and Noriko H. Arai - Semi-supervised Multitask Learning for Sequence Labeling
Authors: Marek Rei - Semi-supervised sequence tagging with bidirectional language models
Authors: Matthew Peters, Waleed Ammar, Chandra Bhagavatula and Russell Power - Universal Dependencies Parsing for Colloquial Singaporean English
Authors: Hongmin Wang, Yue Zhang, GuangYong Leonard Chan, Jie Yang and Hai Leong Chieu
Vision Robots Grounding
- Combining distributional and referential information for naming objects through cross-modal mapping and direct word prediction
Authors: Sina Zarrieß and David Schlangen - FOIL it! Find One mismatch between Image and Language caption
Authors: Ravi Shekhar, Sandro Pezzelle, Yauhen Klimovich, Aurélie Herbelot, Moin Nabi, Enver Sangineto and Raffaella Bernardi - Multi-Task Video Captioning with Visual and Textual Entailment
Authors: Ramakanth Pasunuru and Mohit Bansal - Translating Neuralese
Authors: Jacob Andreas, Anca Dragan and Dan Klein - Verb Physics: Relative Physical Knowledge of Actions and Objects
Authors: Maxwell Forbes and Yejin Choi
Accepted Short Papers
Biomedical
- Neural Architecture for Temporal Relation Extraction: A Bi-LSTM Approach for Detecting Narrative Containers
Authors: Julien Tourille, Olivier Ferret, Aurelie Neveol and Xavier Tannier - Vector space models for evaluating semantic fluency in autism
Authors: Emily Prud’hommeaux, Jan van Santen and Douglas Gliner
Cognitive Modelling and Psycholinguistics
- The Role of Prosody and Speech Register in Word Segmentation: A Computational Modelling Perspective
Authors: Bogdan Ludusan, Reiko Mazuka, Mathieu Bernard, Alejandrina Cristia and Emmanuel Dupoux
Dialog Interactive Systems
- A Conditional Variational Framework for Dialog Generation
Authors: Xiaoyu Shen, Hui Su, Yanran Li, Wenjie Li, Shuzi Niu and Akiko Aizawa - How to Make Contexts More Useful? An Empirical Study to Context-Aware Neural Conversation Models
Authors: Zhiliang Tian, Rui Yan, Lili Mou, Yiping Song, Yansong Feng and Dongyan Zhao - MeChat: A Sequence to Sequence and Rerank based Chatbot Engine
Discourse Pragmatics
- A Recurrent Neural Model with Attention for the Recognition of Chinese Implicit Discourse Relations
Authors: Niko Schenk and Samuel Rönnqvist - A Two-stage Parsing Method for Text-level Discourse Analysis
Authors: Yizhong Wang and Sujian Li - Argumentation Quality Assessment: Theory vs. Practice
Authors: Henning Wachsmuth, Nona Naderi, Ivan Habernal, Yufang Hou, Graeme Hirst, Iryna Gurevych and Benno Stein - Cross-lingual and cross-domain discourse segmentation of entire documents
Authors: Chloé Braud, Ophélie Lacroix and Anders Søgaard - Detecting Good Arguments in a Non-Topic-Specific Way: An Oxymoron?
Authors: Beata Beigman Klebanov, Binod Gyawali and Yi Song - Discourse Annotation of Non-native Spontaneous Spoken Responses Using the Rhetorical Structure Theory Framework
Authors: Xinhao Wang, James Bruno, Hillary Molloy, Keelan Evanini and Klaus Zechner - Improving Implicit Discourse Relation Recognition with Discourse-specific Word Embeddings
Authors: Changxing Wu, xiaodong shi, Yidong Chen, jinsong su and Boli Wang - Lexical Features in Coreference Resolution: To be Used With Caution
Authors: Nafise Sadat Moosavi and Michael Strube
Generation Summarization
- A Principled Framework for Evaluating Summarizers: Comparing Models of Summary Quality against Human Judgments
Authors: Maxime Peyrard and Judith Eckle-Kohler - Japanese Sentence Compression with a Large Training Dataset
Authors: Shun Hasegawa, Yuta Kikuchi, Hiroya Takamura and Manabu Okumura - Learning to Generate Natural Language Descriptions From Source Code Changes
Authors: Pablo Loyola, Edison Marrese-Taylor and Yutaka Matsuo - Oracle Summaries of Compressive Summarization
Authors: Tsutomu Hirao, Masaaki Nishino and Masaaki Nagata
IE QA Text Mining Applications
- A Generative Attentional Neural Network Model for Dialogue Act Classification
Authors: Quan Hung Tran, Gholamreza Haffari and Ingrid Zukerman - Bootstrapping for Numerical Open IE
Authors: Swarnadeep Saha, Harinder Pal and Mausam - Cardinal Virtues: Extracting Relation Cardinalities from Text
Authors: Paramita Mirza, Simon Razniewski, Fariz Darari and Gerhard Weikum - Classifying Temporal Relations by Bidirectional LSTM over Dependency Paths
Authors: Fei Cheng and Yusuke Miyao - Complex Question Answering by Reasoning over Open Information Extraction
Authors: Tushar Khot, Ashish Sabharwal and Peter Clark - English Event Detection With Translated Language Features
Authors: Sam Wei, Igor Korostil, Joel Nothman and Ben Hachey - EviNets: Evidence Neural Networks for Combining Evidence Signals for Factoid Question Answering
Authors: Denis Savenkov and Eugene Agichtein - Feature-Rich Deep Neural Networks for Knowledge Base Completion
Authors: Alexandros Komninos and Suresh Manandhar - Fine-Grained Entity Typing with High-Multiplicity Assignments
Authors: Maxim Rabinovich and Dan Klein - Group Sparse CNNs for Question Classification with Answer Sets
Authors: Mingbo Ma, Liang Huang, Bing Xiang and Bowen Zhou - Improving Native Language Identification by Using Spelling Errors
Authors: Lingzhen Chen, Carlo Strapparava and Vivi Nastase - Integrating Deep Linguistic Features in Factuality Prediction over Unified Datasets
Authors: Gabriel Stanovsky, Judith Eckle-Kohler, Yevgeniy Puzikov, Ido Dagan and Iryna Gurevych - List-only Entity Linking
Authors: Ying Lin, Chin-Yew Lin and Heng Ji - Multi-Task Learning of Keyphrase Boundary Classification
Authors: Isabelle Augenstein and Anders Søgaard - Pocket Knowledge Base Population
Authors: Travis Wolfe, Mark Dredze and Benjamin Van Durme - Question Answering through Transfer Learning from Large Fine-grained Supervision Data
Authors: Sewon Min, Minjoon Seo and Hannaneh Hajishirzi - Question Answering with Universal Schema and Memory Networks
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Authors: Nedelina Teneva and Weiwei Cheng - Self-Crowdsourcing Training for Relation Extraction
Authors: Azad Abad, Moin Nabi and Alessandro Moschitti
Machine Learning
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Authors: Hongyu GUO - Differentiable Scheduled Sampling for Credit Assignment
Authors: Kartik Goyal, Chris Dyer and Taylor Berg-Kirkpatrick - Disfluency Detection using a Noisy Channel Model and a Deep Neural Language Model
Authors: Paria Jamshid Lou and Mark Johnson - Implicitly-Defined Neural Networks for Sequence Labeling
Authors: Michaeel Kazi and Brian Thompson - Information-Theory Interpretation of the Skip-Gram Negative-Sampling Objective Function
Authors: Oren Melamud and Jacob Goldberger - On the Equivalence of Holographic and Complex Embeddings for Knowledge Graph Completion
Authors: Katsuhiko Hayashi and Masashi Shimbo - Alternative Objective Functions for Training MT Evaluation Metrics
Authors: Miloš Stanojević and Khalil Sima’an - An Empirical Comparison of Domain Adaptation Methods for Neural Machine Translation
Authors: Chenhui Chu, Raj Dabre and Sadao Kurohashi - Attention Strategies for Multi-Source Sequence-to-Sequence Learning
Authors: Jindřich Libovický and Jindřich Helcl - Chunk-Based Bi-Scale Decoder for Neural Machine Translation
Authors: Hao Zhou, Zhaopeng Tu, Shujian Huang, Xiaohua Liu, Hang Li and Jiajun Chen - Data Augmentation for Low-Resource Neural Machine Translation
Authors: Marzieh Fadaee, Arianna Bisazza and Christof Monz - Efficient Extraction of Pseudo-Parallel Sentences from Raw Monolingual Data Using Word Embeddings
Authors: Benjamin Marie and Atsushi Fujita - Hybrid Neural Network Alignment and Lexicon Model in Direct HMM for Statistical Machine Translation
Authors: Weiyue Wang, Derui Zhu and Hermann Ney - Learning to Parse and Translate Improves Neural Machine Translation
Authors: Akiko Eriguchi, Yoshimasa Tsuruoka and Kyunghyun Cho - Neural System Combination for Machine Translation
Authors: Long Zhou, Wenpeng Hu, Jiajun Zhang and Chengqing Zong - Sentence Embedding for Neural Machine Translation Domain Adaptation
Authors: Rui Wang, Andrew Finch, Masao Utiyama and Eiichiro Sumita - Speeding up Neural Machine Translation Decoding by Shrinking Run-time Vocabulary
Authors: Xing Shi and Kevin Knight - Towards String-To-Tree Neural Machine Translation
Authors: Roee Aharoni and Yoav Goldberg
Multidisciplinary
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Authors: Maria Ryskina, Hannah Alpert-Abrams, Dan Garrette and Taylor Berg-Kirkpatrick - Detection of Chinese Word Usage Errors for Non-Native Chinese Learners with Bidirectional LSTM
Authors: Yow-Ting Shiue, Hen-Hsen Huang and Hsin-Hsi Chen - Error-repair Dependency Parsing for Ungrammatical Texts
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Authors: Daniel Dahlmeier
Multilingual
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Authors: David Jurgens, Yulia Tsvetkov and Dan Jurafsky - Model Transfer for Tagging Low-resource Languages without Bilingual Corpora
Authors: Meng Fang and Trevor Cohn
Phonology Morphology Word Segmentation
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Resources Evaluation
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Authors: Sanja Štajner, Marc Franco-Salvador, Simone Paolo Ponzetto, Paolo Rosso and Heiner Stuckenschmidt - Understanding Task Design Trade-offs in Crowdsourced Paraphrase Collection
Authors: Youxuan Jiang, Jonathan K. Kummerfeld and Walter S. Lasecki
Semantics
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Authors: Mohammed Elrazzaz, Chadi Helwe, Shady Elbassuoni and Khaled Shaban - Neural Architectures for Multilingual Semantic Parsing
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Authors: Jonathan Herzig and Jonathan Berant - Temporal Word Analogies: Identifying Lexical Replacement with Diachronic Word Embeddings
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Sentiment Analysis Opinion Mining
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Authors: Svetlana Kiritchenko and Saif Mohammad - Exploiting Domain Knowledge via Grouped Weight Sharing with Application to Text Categorization
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Authors: Hannah Rashkin, Eric Bell, Yejin Choi and Svitlana Volkova - Supervised Aspect Extraction with Knowledge Retention
Authors: Lei Shu, Hu Xu and Bing Liu - Understanding and Detecting Diverse Supporting Arguments on Controversial Issues
Authors: Xinyu Hua and Lu Wang
Social Media
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Authors: Xueying Zhan, Yaowei Wang, Yanghui Rao, Haoran Xie, Qing Li, Fu Lee Wang and Tak-Lam Wong - A Neural Model for User Geolocation and Lexical Dialectology
Authors: Afshin Rahimi, Trevor Cohn and Timothy Baldwin - Demographic Inference on Twitter using Recursive Neural Networks
Authors: Sunghwan Mac Kim, Qiongkai Xu, Lizhen Qu and Stephen Wan - Determining Whether and When People Participate in the Events They Tweet About
Authors: krishna sanagavarapu, Alakananda Vempala and Eduardo Blanco - Improving Semantic Relevance for Chinese Social Media Text Summarization
Authors: Shuming Ma and Xu Sun - On the Distribution of Lexical Features in Social Media
Authors: Fatemeh Almodaresi, Lyle Ungar, Vivek Kulkarni, Mohsen Zakeri, Salvatore Giorgi and H. Andrew Schwartz - Recognizing Counterfactual Thinking in Social Media Texts
Authors: Youngseo Son, Anneke Buffone, H. Andrew Schwartz and Lyle Ungar - Separating Facts from Fiction: Linguistic Models to Classify Suspicious and Trusted News Posts on Twitter
Authors: Kyle Shaffer, Jin Yea Jang, Nathan Hodas and Svitlana Volkova - Temporal Orientation of Tweets for Predicting Income of User
Authors: Mohammed Hasanuzzaman, Sabyasachi Kamila, Mandeep Kaur, Sriparna Saha and Asif Ekbal - Twitter Demographic Classification using deep Multi-modal Multi-task Learning
Authors: Soroush Vosoughi, Prashanth Vijayaraghavan and Deb Roy
Speech
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Authors: Andrey Malinin, Anton Ragni, Kate Knill and Mark Gales
Tagging Chunking Syntax Parsing
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Authors: Jianpeng Cheng, Adam Lopez and Mirella Lapata - Arc-swift: A Novel Transition System for Dependency Parsing
Authors: Peng Qi and Christopher D. Manning - Character Composition Model with Convolutional Neural Networks for Dependency Parsing on Morphologically Rich Languages
Authors: Xiang Yu and Ngoc Thang Vu - Character-Aware Neural Morphological Disambiguation
Authors: Alymzhan Toleu, Gulmira Tolegen and Aibek Makazhanov - How (not) to train a dependency parser: The curious case of jackknifing part-of-speech taggers
Authors: Željko Agić and Natalie Schluter - Parser Adaptation for Social Media by Integrating Normalization
Authors: Rob van der Goot and Gertjan van Noord - Separating Reranking Effects from Model Combination Effects in Generative Neural Constituency Parsers
Authors: Daniel Fried, Mitchell Stern and Dan Klein
Vision Robots Grounding
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Authors: Alane Suhr, Mike Lewis, James Yeh and Yoav Artzi - A Survey on Action Recognition Datasets and Tasks for Still Images
Authors: Spandana Gella and Frank Keller
Accepted Software Demonstrations
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Authors: Tuan Duc Nguyen, Khai Mai, Thai-Hoang Pham, Minh Trung Nguyen, Truc-Vien T. Nguyen, Takashi Eguchi, Ryohei Sasano and Satoshi Sekine - Swanson linking revisited: Accelerating literature-based discovery across domains using a conceptual influence graph
Authors: Gus Hahn-Powell, Marco A. Valenzuela-Escárcega and Mihai Surdeanu - OpenNMT: Open-Source Toolkit for Neural Machine Translation
Authors: Guillaume Klein, Yoon Kim, Yuntian Deng, Jean Senellart and Alexander M. Rush - RelTextRank: An Open Source Framework for Building Relational Syntactic-Semantic Text Pair Representations
Authors: Kateryna Tymoshenko, Alessandro Moschitti, Massimo Nicosia and Aliaksei Severyn - Scattertext: a Browser-Based Tool for Visualizing how Corpora Differ
Authors: Jason Kessler - Benben: A Chinese Intelligent Conversational Robot
Authors: Wei-Nan Zhang, Ting Liu, Bing Qin, Yu Zhang, Wanxiang Che, Yanyan Zhao and Xiao Ding - Zara Returns: Improved Personality Induction and Adaptation by an Empathetic Virtual Agent
Authors: Pascale Fung, Farhad Bin Siddique, Onno Kampman, Yang Yang and Anik Dey - Hafez: an interactive poetry generation system
Authors: Marjan Ghazvininejad, Xing Shi, Jay Priyadarshi and Kevin Knight - SuperAgent: A Customer Service Chatbot for E-commerce Websites
Authors: Lei Cui, Shaohan Huang, Furu Wei, Chuanqi Tan, Chaoqun Duan and Ming Zhou - End-to-End Non-Factoid Question Answering with an Interactive Visualization of Neural Attention Weights
Authors: Andreas Rücklé and Iryna Gurevych - Automating Biomedical Evidence Synthesis: RobotReviewer
Authors: Iain Marshall, Joël Kuiper, Edward Banner and Byron C. Wallace - Interactive Visual Analysis of Transcribed Multi-Party Discourse
Authors: Mennatallah El-Assady, Annette Hautli-Janisz, Valentin Gold, Miriam Butt, Katharina Holzinger and Daniel Keim - CU-PyDial: A Multi-domain Statistical Dialogue System Toolkit
Authors: Stefan Ultes, Lina M. Rojas Barahona, Pei-Hao Su, David Vandyke, Dongho Kim, Iñigo Casanueva, Pawe? Budzianowski, Nikola Mrk¨i?, Tsung-Hsien Wen, Milica Gasic and Steve Young - UCCAApp: Web-application for Syntactic and Semantic Phrase-based Annotation
Authors: Omri Abend, Shai Yerushalmi and Ari Rappoport - Multi-level Semantic Literature Search for the Life Sciences with Semedico
Authors: Erik Faessler and Udo Hahn - Olelo: A Question Answering Application for Biomedicine
Authors: Mariana Neves, Hendrik Folkerts, Marcel Jankrift, Julian Niedermeier, Toni Stachewicz, Sören Tietböhl and Milena Kraus - Exploring Diachronic Lexical Semantics with JEDISEM
Authors: Johannes Hellrich and Udo Hahn - LifeNet: A Structured Network-Based Knowledge Exploration and Analytics System for Life Sciences
Authors: Xiang Ren, Jiaming Shen, Meng Qu, Xuan Wang, Zeqiu Wu, Qi Zhu, Meng Jiang, Fangbo Tao, Saurabh Sinha, David Liem, Peipei Ping, Richard Weinshilboum and Jiawei Han - Annotating tense, mood and voice for English, French and German
Authors: Anita Ramm, Sharid Loáiciga, Annemarie Friedrich and Alexander Fraser - ESTEEM: A Novel Framework for Qualitatively Evaluating and Visualizing Spatiotemporal Embeddings in Social Media
Authors: Dustin Arendt and Svitlana Volkova - WebChild++ : Fine-Grained Commonsense Knowledge Distillation
Authors: Niket Tandon, Gerard de Melo and Gerhard Weikum
“Broad-Coverage Transition-Based UCCA Parsing” is missing the authors, and should have the new title: “A Transition-Based Directed Acyclic Graph Parser for UCCA”. Also, isn’t it in Tagging Chunking Syntax Parsing rather than Semantics?
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Some papers are missing author names
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