Accepted Papers, Demonstrations and TACL Articles for ACL 2017

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

  1. 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

  1. 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
  2. Representations of language in a model of visually grounded speech signal
    Authors: Grzegorz Chrupała, Lieke Gelderloos and Afra Alishahi
  3. Spectral Analysis of Information Density in Dialogue Predicts Collaborative Task Performance
    Authors: Yang Xu and David Reitter

Dialog Interactive Systems

  1. Adversarial Adaptation of Synthetic or Stale Data
    Authors: Young-Bum Kim, Karl Stratos and Dongchan Kim
  2. Affect-LM: A Neural Language Model for Customizable Affective Text Generation
    Authors: Sayan Ghosh, Mathieu Chollet, Eugene Laksana, Stefan Scherer and Louis-Philippe Morency
  3. Chat Detection in Intelligent Assistant: Combining Task-oriented and Non-task-oriented Spoken Dialogue Systems
    Authors: Satoshi Akasaki and Nobuhiro Kaji
  4. Domain Attention with an Ensemble of Experts
    Authors: Young-Bum Kim, Karl Stratos and Dongchan Kim
  5. Generating Contrastive Referring Expressions
    Authors: Martin Villalba, Christoph Teichmann and Alexander Koller
  6. 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
  7. Joint Modeling of Content and Discourse Relations in Dialogues
    Authors: Kechen Qin, Lu Wang, Joseph Kim and Julie Shah
  8. Learning Discourse-level Diversity for Neural Dialog Models using Conditional Variational Autoencoders
    Authors: Tiancheng Zhao, Ran Zhao and Maxine Eskenazi
  9. Learning Symmetric Collaborative Dialogue Agents with Dynamic Knowledge Graph Embeddings
    Authors: He He, Anusha Balakrishnan, Mihail Eric and Percy Liang
  10. Neural Belief Tracker: Data-Driven Dialogue State Tracking
    Authors: Nikola Mrkšić, Diarmuid Ó Séaghdha, Tsung-Hsien Wen, Blaise Thomson and Steve Young
  11. 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
  12. 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
  13. 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

  1. A Neural Local Coherence Model
    Authors: Shafiq Joty and Dat Tien Nguyen
  2. Adversarial Connective-exploiting Networks for Implicit Discourse Relation Classification
    Authors: Lianhui Qin, Zhisong Zhang, Hai Zhao, Eric Xing and Zhiting Hu
  3. Argument Mining with Structured SVMs and RNNs
    Authors: Vlad Niculae, Claire Cardie and Joonsuk Park
  4. Discourse Mode Identification in Essays
    Authors: Wei Song
  5. Don’t understand a measure? Learn it: Structured Prediction for Coreference Resolution optimizing its measures
    Authors: Iryna Haponchyk and Alessandro Moschitti
  6. 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
  7. Joint Learning for Coreference Resolution
    Authors: Jing Lu and Vincent Ng
  8. Neural Discourse Structure for Text Categorization
    Authors: Yangfeng Ji and Noah A. Smith

Generation Summarization

  1. Abstractive Document Summarization with a Graph-Based Attentional Neural Model
    Authors: Jiwei Tan and Xiaojun Wan
  2. Automatically Generating Rhythmic Verse with Neural Networks
    Authors: Jack Hopkins and Douwe Kiela
  3. 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
  4. Creating Training Corpora for NLG Micro-Planners
    Authors:  Claire Gardent, Anastasia Shimorina, Shashi Narayan and Laura Perez-Beltrachini
  5. Data-Driven Broad-Coverage Grammars for Opinionated Natural Language Generation (ONLG)
    Authors: Tomer Cagan, Stefan L. Frank and Reut Tsarfaty
  6. Diversity driven attention model for query-based abstractive summarization
    Authors: Preksha Nema, Mitesh M. Khapra, Balaraman Ravindran and Anirban Laha
  7. 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
  8. Get To The Point: Summarization with Pointer-Generator Networks
    Authors: Abigail See, Peter J. Liu and Christopher D. Manning
  9. Joint Optimization of User-desired Content in Multi-document Summaries by Learning from User Feedback
    Authors: Avinesh PVS and Christian M. Meyer
  10. Learning to Ask: Neural Question Generation for Reading Comprehension
    Authors: Xinya Du, Junru Shao and Claire Cardie
  11. Learning to Generate Market Comments from Stock Prices
    Authors: Soichiro Murakami, Akihiko Watanabe, Akira Miyazawa, Keiichi Goshima, Toshihiko Yanase, Hiroya Takamura and Yusuke Miyao
  12. Neural AMR: Sequence-to-Sequence Models for Parsing and Generation
    Authors: Ioannis Konstas, Srinivasan Iyer, Mark Yatskar, Yejin Choi and Luke Zettlemoyer
  13. PositionRank: An Unsupervised Approach to Keyphrase Extraction from Scholarly Documents
    Authors: Corina Florescu and Cornelia Caragea
  14. Program Induction for Rationale Generation: Learning to Solve and Explain Algebraic Word Problems
    Authors: Wang Ling, Dani Yogatama, Chris Dyer and Phil Blunsom
  15. Selective Encoding for Abstractive Sentence Summarization
    Authors: Qingyu Zhou, Nan Yang, Furu Wei and Ming Zhou
  16. Supervised Learning of Automatic Pyramid for Optimization-Based Multi-Document Summarization
    Authors: Maxime Peyrard and Judith Eckle-Kohler

IE QA Text Mining Applications

  1. A Constituent-Centric Neural Architecture for Reading Comprehension
    Authors: Pengtao Xie and Eric Xing
  2. A FOFE-based Local Detection Approach for Named Entity Recognition and Mention Detection
    Authors: Mingbin Xu, Hui Jiang and Sedtawut Watcharawittayakul
  3. Adversarial Multi-task Learning for Text Classification
    Authors: Pengfei Liu, Xipeng Qiu and Xuanjing Huang
  4. 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
  5. Attention-over-Attention Neural Networks for Reading Comprehension
    Authors: Yiming Cui, Zhipeng Chen, si wei, Shijin Wang, Ting Liu and Guoping Hu
  6. Automatically Labeled Data Generation for Large Scale Event Extraction
    Authors: Yubo Chen, Kang Liu and Jun Zhao
  7. Coarse-to-Fine Question Answering for Long Documents
    Authors: Eunsol Choi, Daniel Hewlett, Illia Polosukhin, Alexandre Lacoste, Jakob Uszkoreit and Jonathan Berant
  8. Comparing Apples to Apples: Learning Semantics of Common Entities Through a Novel Comprehension Task
    Authors: Omid Bakhshandeh and James Allen
  9. Cross-lingual Distillation for Text Classification
    Authors: Ruochen Xu and Yiming Yang
  10. Deep Keyphrase Generation
    Authors: Rui Meng, Daqing He, Sanqiang Zhao and Shuguang Han
  11. Deep Pyramid Convolutional Neural Networks for Text Categorization
    Authors: Rie Johnson and Tong Zhang
  12. Determining Gains Acquired from Word Embedding Quantitatively using Discrete Distribution Clustering
    Authors: Jianbo Ye, Yanran Li, Zhaohui Wu, James Z. Wang and Jia Li
  13. Exploiting Argument Information to Improve Event Detection via Supervised Attention Mechanisms
    Authors: Shulin Liu, Kang Liu and Jun Zhao
  14. Gated Self-Matching Networks for Reading Comprehension and Question Answering
    Authors: Wenhui Wang, Nan Yang, Furu Wei, Baobao Chang and Ming Zhou
  15. Gated-Attention Readers for Text Comprehension
    Authors: Bhuwan Dhingra, Hanxiao Liu, Zhilin Yang, William Cohen and Ruslan Salakhutdinov
  16. Generating Natural Answer by Incorporating Copying and Retrieving Mechanisms in Sequence-to-Sequence Learning
    Authors: Shizhu He, Kang Liu and Jun Zhao
  17. Going out on a limb : Joint Extraction of Entity Mentions and Relations without Dependency Trees
    Authors: Arzoo Katiyar and Claire Cardie
  18. 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
  19. Joint Extraction of Entities and Relations Based on a Novel Tagging Scheme
    Authors: Suncong Zheng, Feng Wang and Hongyun Bao
  20. Joint Extraction of Relations with Class Ties via Effective Deep Ranking
    Authors: Hai Ye, Wenhan Chao and Zhunchen Luo
  21. 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
  22. Leveraging Knowledge Bases in LSTMs for Improving Machine Reading
    Authors: Bishan Yang and Tom Mitchell
  23. Neural End-to-End Learning for Computational Argumentation Mining
    Authors: Steffen Eger, Johannes Daxenberger and Iryna Gurevych
  24. Neural Relation Extraction with Multi-lingual Attention
    Authors: Yankai Lin, Zhiyuan Liu and Maosong Sun
  25. Neural Symbolic Machines: Learning Semantic Parsers on Freebase with Weak Supervision
    Authors: Chen Liang, Jonathan Berant, Quoc Le, Kenneth D. Forbus and Ni Lao
  26. Prerequisite Relation Learning for Concepts in MOOCs
    Authors: Liangming Pan, Chengjiang Li, Juanzi Li and Jie Tang
  27. Reading Wikipedia to Answer Open-Domain Questions
    Authors: Danqi Chen, Adam Fisch, Jason Weston and Antoine Bordes
  28. Search-based Neural Structured Learning for Sequential Question Answering
    Authors: Mohit Iyyer, Wen-tau Yih and Ming-Wei Chang
  29. Tandem Anchoring: a Multiword Anchor Approach for Interactive Topic Modeling
    Authors: Jeffrey Lund, Connor Cook, Kevin Seppi and Jordan Boyd-Graber
  30. Time Expression Analysis and Recognition Using Syntactic Token Types and General Heuristic Rules
    Authors:  Xiaoshi Zhong, Aixin Sun and Erik Cambria
  31. Topical Coherence in LDA-based Models through Induced Segmentation
    Authors: Hesam Amoualian, Wei Lu, Eric Gaussier, Massih R Amini, Georgios Balikas and Marianne Clausel
  32. Towards a Seamless Integration of Word Senses into Downstream NLP Applications
    Authors: Mohammad Taher Pilehvar, Jose Camacho-Collados, Roberto Navigli and Nigel Collier
  33. Transductive Non-linear Learning for Chinese Hypernym Prediction
    Authors: Chengyu Wang, Xiaofeng He and Aoying Zhou
  34. Understanding and Predicting Empathic Behavior in Counseling Therapy
    Authors: Verónica Pérez-Rosas, Rada Mihalcea, Kenneth Resnicow, Satinder Singh and Lawrence An
  35. Unsupervised Text Segmentation Based on Native Language Characteristics
    Authors: Shervin Malmasi, Mark Dras, Mark Johnson, Lan Du and Magdalena Wolska
  36. Vancouver Welcomes You! Minimalist Location Metonymy Resolution
    Authors: Milan Gritta, Mohammad Taher Pilehvar, Nut Limsopatham and Nigel Collier
  37. Weakly Supervised Cross-Lingual Named Entity Recognition via Effective Annotation and Representation Projection
    Authors: Jian Ni, Georgiana Dinu and Radu Florian

Machine Learning

  1. An Algebra for Feature Extraction
    Authors: Vivek Srikumar
  2. Bayesian Modeling of Lexical Resources for Low-Resource Settings
    Authors: Nicholas Andrews, Jason Eisner, Mark Dredze and Benjamin Van Durme
  3. Context Sensitive Lemmatization Using Two Successive Bidirectional Gated Recurrent Networks
    Authors: Abhisek Chakrabarty, Onkar Arun Pandit and Utpal Garain
  4. Deep Learning in Semantic Kernel Spaces
    Authors: Danilo Croce, Simone Filice, Giuseppe Castellucci and Roberto Basili
  5. From Language to Programs: Bridging Reinforcement Learning and Maximum Marginal Likelihood
    Authors: Kelvin Guu, Panupong Pasupat, Evan Liu and Percy Liang
  6. Learning attention for historical text normalization by learning to pronounce
    Authors: Marcel Bollmann, Joachim Bingel and Anders Søgaard
  7. Learning to Create and Reuse Words in Open-Vocabulary Neural Language Modeling
    Authors: Kazuya Kawakami, Chris Dyer and Phil Blunsom
  8. Learning to Skim Text
    Authors: Adams Wei Yu, Quoc Le and Hongrae Lee
  9. Multi-space Variational Encoder-Decoders for Semi-supervised Labeled Sequence Transduction
    Authors: Chunting Zhou and Graham Neubig
  10. Probabilistic Typology: Deep Generative Models of Vowel Inventories
    Authors: Ryan Cotterell and Jason Eisner
  11. Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling
    Authors: Zhe Gan, Chunyuan Li, Changyou Chen, Yunchen Pu, Qinliang Su and Lawrence Carin
  12. Semi-Supervised QA with Generative Domain-Adaptive Nets
    Authors: Zhilin Yang, Junjie Hu, Ruslan Salakhutdinov and William Cohen
  13. Topically Driven Neural Language Model
    Authors: Jey Han Lau, Timothy Baldwin and Trevor Cohn

Machine Translation

  1. A Convolutional Encoder Model for Neural Machine Translation
    Authors: Jonas Gehring, Michael Auli, David Grangier and Yann Dauphin
  2. A Teacher-Student Framework for Zero-Resource Neural Machine Translation
    Authors: Yun Chen, Yang Liu, Yong Cheng and Victor O.K. Li
  3. Bandit Structured Prediction for Neural Sequence-to-Sequence Learning
    Authors: Julia Kreutzer, Artem Sokolov and Stefan Riezler
  4. 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
  5. Deep Neural Machine Translation with Linear Associative Unit
    Authors: Mingxuan Wang, Zhengdong Lu, Jie Zhou and Qun Liu
  6. Doubly-Attentive Decoder for Multi-modal Neural Machine Translation
    Authors: Iacer Calixto, Qun Liu and Nick Campbell
  7. Improved Neural Machine Translation with a Syntax-Aware Encoder and Decoder
    Authors: Huadong Chen, Shujian Huang, David Chiang and Jiajun Chen
  8. Incorporating Word Reordering Knowledge into Attention-based Neural Machine Translation
    Authors: Jinchao Zhang, Mingxuan Wang, Qun Liu and Jie Zhou
  9. Lexically Constrained Decoding for Sequence Generation Using Grid Beam Search
    Authors: Chris Hokamp and Qun Liu
  10. Modeling Source Syntax for Neural Machine Translation
    Authors: Junhui Li, Deyi Xiong, Zhaopeng Tu, Muhua Zhu and Guodong Zhou
  11. Neural Machine Translation via Binary Code Prediction
    Authors: Yusuke Oda, Philip Arthur, Graham Neubig, Koichiro Yoshino and Satoshi Nakamura
  12. Prior Knowledge Integration for Neural Machine Translation using Posterior Regularization
    Authors: Jiacheng Zhang, Yang Liu, Huanbo Luan, Jingfang Xu and Maosong Sun
  13. Sequence-to-Dependency Neural Machine Translation
    Authors: Shuangzhi Wu, Dongdong Zhang, Nan Yang, Mu Li and Ming Zhou
  14. Visualizing and Understanding Neural Machine Translation
    Authors: Yanzhuo Ding, Yang Liu, Huanbo Luan and Maosong Sun
  15. What do Neural Machine Translation Models Learn about Morphology?
    Authors: Yonatan Belinkov, Nadir Durrani, Fahim Dalvi, Hassan Sajjad and James Glass

Multidisciplinary

  1. A Nested Attention Neural Hybrid Model for Grammatical Error Correction
    Authors: Jianshu Ji, Qinlong Wang, Kristina Toutanova, Yongen Gong, Steven Truong and Jianfeng Gao
  2. Combating Human Trafficking with Multimodal Deep Models
    Authors: Edmund Tong, Amir Zadeh and Louis-Philippe Morency
  3. Friendships, Rivalries, and Trysts: Characterizing Relations between Ideas in Texts
    Authors: Chenhao Tan, Dallas Card and Noah A. Smith
  4. TextFlow: A Text Similarity Measure based on Continuous Sequences
    Authors: Yassine Mrabet, Halil Kilicoglu and Dina Demner-Fushman

Multilingual

  1. Adversarial Training for Unsupervised Bilingual Lexicon Induction
    Authors: Meng Zhang, Yang Liu, Huanbo Luan and Maosong Sun
  2. Cross-lingual Name Tagging and Linking for 282 Languages
    Authors: Xiaoman Pan, Boliang Zhang, Jonathan May, Joel Nothman, Kevin Knight and Heng Ji
  3. 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
  4. Found in Translation: Reconstructing Phylogenetic Language Trees from Translations
    Authors: Ella Rabinovich, Noam Ordan and Shuly Wintner
  5. Predicting Native Language from Gaze
    Authors: Yevgeni Berzak, Chie Nakamura, Suzanne Flynn and Boris Katz
  6. Using Global Constraints and Reranking to Improve Cognates Detection
    Authors: Michael Bloodgood and Benjamin Strauss

Phonology Morphology Word Segmentation

  1. Adversarial Multi-Criteria Learning for Chinese Word Segmentation
    Authors: Xinchi Chen, Zhan Shi, Xipeng Qiu and Xuanjing Huang
  2. From Characters to Words to in Between: Do We Capture Morphology?
    Authors: Clara Vania and Adam Lopez
  3. Morphological Inflection Generation with Hard Monotonic Attention
    Authors: Roee Aharoni and Yoav Goldberg
  4. MORSE: Semantic-ally Drive-n MORpheme SEgment-er
    Authors: Tarek Sakakini, Suma Bhat and Pramod Viswanath
  5. One-Shot Neural Cross-Lingual Transfer for Paradigm Completion
    Authors: Katharina Kann, Ryan Cotterell and Hinrich Schütze

Resources Evaluation

  1. A Corpus of Annotated Revisions for Studying Argumentative Writing
    Authors: Fan Zhang, Homa B. Hashemi, Rebecca Hwa and Diane Litman
  2. Automatic Annotation and Evaluation of Error Types for Grammatical Error Correction
    Authors: Christopher Bryant, Mariano Felice and Ted Briscoe
  3. Detecting annotation noise in automatically labelled data
    Authors: Ines Rehbein and Josef Ruppenhofer
  4. Evaluation Metrics for Reading Comprehension: Prerequisite Skills and Readability
    Authors: Saku Sugawara, Yusuke Kido, Hikaru Yokono and Akiko Aizawa
  5. MalwareTextDB: A Database for Annotated Malware Articles
    Authors: Swee Kiat Lim, Aldrian Obaja Muis, Wei Lu and Chen Hui Ong
  6. Polish evaluation dataset for compositional distributional semantics models
    Authors: Alina Wróblewska and Katarzyna Krasnowska-Kieraś

Semantics

  1. A Progressive Learning Approach to Chinese SRL Using Heterogeneous Data
    Authors: Qiaolin Xia, Zhifang Sui and Baobao Chang
  2. A Transition-Based Directed Acyclic Graph Parser for UCCA
    Authors:  Daniel Hershcovich, Omri Abend and Ari Rappoport
  3. A Syntactic Neural Model for General-Purpose Code Generation
    Authors: Pengcheng Yin and Graham Neubig
  4. Abstract Meaning Representation Parsing using LSTM Recurrent Neural Networks
    Authors: William Foland and James H. Martin
  5. Abstract Syntax Networks for Code Generation and Semantic Parsing
    Authors: Maxim Rabinovich, Mitchell Stern and Dan Klein
  6. An Interpretable Knowledge Transfer Model for Knowledge Base Completion
    Authors: Qizhe Xie, Xuezhe Ma, Zihang Dai and Eduard Hovy
  7. Automatic Induction of Synsets from a Graph of Synonyms
    Authors: Dmitry Ustalov, Alexander Panchenko and Chris Biemann
  8. Bridge Text and Knowledge by Learning Multi-Prototype Entity Mention Embedding
    Authors: Yixin Cao, Lifu Huang, Heng Ji, Xu Chen and Juanzi Li
  9. Deep Multitask Learning for Semantic Dependency Parsing
    Authors: Hao Peng, Sam Thomson and Noah A. Smith
  10. Deep Semantic Role Labeling: What Works and What’s Next
    Authors: Luheng He, Kenton Lee, Mike Lewis and Luke Zettlemoyer
  11. Enhanced LSTM for Natural Language Inference
    Authors: Qian Chen, Xiaodan Zhu, Zhen-Hua Ling, Si Wei, Hui Jiang and Diana Inkpen
  12. Identifying 1950s American Jazz Composers: Fine-Grained IsA Extraction via Modifier Composition
    Authors: Ellie Pavlick and Marius Pasca
  13. Improved Word Representation Learning with Sememes
    Authors: Yilin Niu, Ruobing Xie, Zhiyuan Liu and Maosong Sun
  14. Inducing Symbolic Meaning Representations for Semantic Parsing
    Authors: Jianpeng Cheng, Siva Reddy, Vijay Saraswat and Mirella Lapata
  15. Interactive Learning for Acquisition of Grounded Verb Semantics towards Human-Robot Communication
    Authors: Lanbo She and Joyce Chai
  16. Learning a Neural Semantic Parser from User Feedback
    Authors: Srinivasan Iyer, Ioannis Konstas, Alvin Cheung, Jayant Krishnamurthy and Luke Zettlemoyer
  17. Learning bilingual word embeddings with (almost) no bilingual data
    Authors: Mikel Artetxe, Gorka Labaka and Eneko Agirre
  18. Learning Character-level Compositionality with Visual Features
    Authors: Frederick Liu, Han Lu, Chieh Lo and Graham Neubig
  19. Learning Translational Semantic Correspondences in Technical Documentation
    Authors: Kyle Richardson and Jonas Kuhn
  20. 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
  21. Multimodal Word Distributions
    Authors: Ben Athiwaratkun and Andrew Wilson
  22. Naturalizing a Programming Language via Interactive Learning
    Authors: Sida I. Wang, Sam Ginn, Percy Liang and Christopher D. Manning
  23. Neural Modeling of Multi-Predicate Interactions for Japanese Predicate Argument Structure Analysis
    Authors: Hiroki Ouchi, Hiroyuki Shindo and Yuji Matsumoto
  24. Revisiting Recurrent Networks for Paraphrastic Sentence Embeddings
    Authors: John Wieting and Kevin Gimpel
  25. Riemannian Optimization for Skip-Gram Negative Sampling
    Authors: Alexander Fonarev, Oleksii Hrinchuk, Gleb Gusev, Pavel Serdyukov and Ivan Oseledets
  26. Semantic Word Clusters Using Signed Spectral Clustering
    Authors: Joao Sedoc, Jean Gallier, Dean Foster and Lyle Ungar
  27. Skip-Gram – Zipf + Uniform = Vector Additivity
    Authors: Alex Gittens, Dimitris Achlioptas and Michael W. Mahoney
  28. The State of the Art in Semantic Representation
    Authors: Omri Abend and Ari Rappoport
  29. TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension
    Authors: Mandar Joshi, Eunsol Choi, Daniel Weld and Luke Zettlemoyer
  30. Using Ontology-Grounded Token Embeddings To Predict Prepositional Phrase Attachments
    Authors: Pradeep Dasigi, Waleed Ammar, Chris Dyer and Eduard Hovy

Sentiment Analysis Opinion Mining

  1. A Multidimensional Lexicon for Interpersonal Stancetaking
    Authors: Umashanthi Pavalanathan, Jim Fitzpatrick, Scott Kiesling and Jacob Eisenstein
  2. Active Sentiment Domain Adaptation
    Authors: Fangzhao Wu and Yongfeng Huang
  3. An Unsupervised Neural Attention Model for Aspect Extraction
    Authors: Ruidan He, Wee Sun Lee, Hwee Tou Ng and Daniel Dahlmeier
  4. Handling Cold-Start Problem in Review Spam Detection by Jointly Embedding Texts and Behaviors
    Authors: Xuepeng Wang, Jun Zhao and Kang Liu
  5. Learning Cognitive Features from Gaze Data for Sentiment and Sarcasm Classification using Convolutional Neural Network
    Authors: Abhijit Mishra, Kuntal Dey and Pushpak Bhattacharyya
  6. Linguistic analysis of differences in portrayal of movie characters
    Authors: Anil Ramakrishna, Victor R. Martínez, Nikolaos Malandrakis, Karan Singla and Shrikanth Narayanan
  7. Linguistically Regularized LSTM for Sentiment Classification
    Authors: Qiao Qian, Minlie Huang and xiaoyan zhu
  8. Modeling Contextual Relationship Among Utterances in Multimodal Sentiment Analysis
    Authors: Soujanya Poria, Devamanyu Hazarika, Navonil Majumder and Erik Cambria
  9. 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
  10. Sarcasm SIGN: Interpreting Sarcasm with Sentiment Based Monolingual Machine Translation
    Authors: Lotem Peled and Roi Reichart
  11. 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

  1. Beyond Binary Labels: Political Ideology Prediction of Twitter Users
    Authors: Daniel Preoţiuc-Pietro, Ye Liu, Daniel Hopkins and Lyle Ungar
  2. CANE: Context-Aware Network Embedding for Relation Modeling
    Authors: Cunchao Tu, Han Liu, Zhiyuan Liu and Maosong Sun
  3. Detect Rumors in Microblog Posts Using Propagation Structure via Kernel Learning
    Authors: Ma Jing, Wei Gao and Kam-Fai Wong
  4. EmoNet: Fine-Grained Emotion Detection with Gated Recurrent Neural Networks
    Authors: Muhammad Abdul-Mageed and Lyle Ungar
  5. Leveraging Behavioral and Social Information for Weakly Supervised Collective Classification of Political Discourse on Twitter
    Authors: Kristen Johnson and Dan Goldwasser
  6. 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

  1. Joint CTC-attention End-to-end Speech Recognition
    Authors: Shinji Watanabe, Takaaki Hori and John Hershey
  2. Learning Word-Like Units from Joint Audio-Visual Analysis
    Authors:  David Harwath and James Glass

Tagging Chunking Syntax Parsing

  1. A Full Non-Monotonic Transition System for Unrestricted Non-Projective Parsing
    Authors: Daniel Fernández-González and Carlos Gómez-Rodríguez
  2. A Minimal Span-Based Neural Constituent Parser
    Authors: Mitchell Stern, Jacob Andreas and Dan Klein
  3. A* CCG Parsing with a Supertag and Dependency Factored Model
    Authors: Masashi Yoshikawa, Hiroshi Noji and Yuji Matsumoto
  4. Aggregating and Predicting Sequence Labels from Crowd Annotations
    Authors: An Thanh Nguyen, Byron Wallace, Junyi Jessy Li, Ani Nenkova and Matthew Lease
  5. Generic Axiomatization of Families of Noncrossing Graphs in Dependency Parsing
    Authors: Anssi Yli-Jyrä and Carlos Gómez-Rodríguez
  6. Neural Joint Model for Transition-based Chinese Syntactic Analysis
    Authors: Shuhei Kurita, Daisuke Kawahara and Sadao Kurohashi
  7. Neural Word Segmentation with Rich Pretraining
    Authors: Jie Yang, Yue Zhang and Fei Dong
  8. Robust Incremental Neural Semantic Graph Parsing
    Authors: Jan Buys and Phil Blunsom
  9. Parsing to 1-Endpoint-Crossing, Pagenumber-2 Graphs
    Authors: Junjie Cao, Sheng Huang, Weiwei Sun and Xiaojun Wan
  10. Semantic Dependency Parsing via Book Embedding
    Authors: Weiwei Sun, Junjie Cao and Xiaojun Wan
  11. Semantic Parsing of Pre-university Math Problems
    Authors: Takuya Matsuzaki, Takumi Ito, Hidenao Iwane, Hirokazu Anai and Noriko H. Arai
  12. Semi-supervised Multitask Learning for Sequence Labeling
    Authors: Marek Rei
  13. Semi-supervised sequence tagging with bidirectional language models
    Authors: Matthew Peters, Waleed Ammar, Chandra Bhagavatula and Russell Power
  14. Universal Dependencies Parsing for Colloquial Singaporean English
    Authors: Hongmin Wang, Yue Zhang, GuangYong Leonard Chan, Jie Yang and Hai Leong Chieu

Vision Robots Grounding

  1. Combining distributional and referential information for naming objects through cross-modal mapping and direct word prediction
    Authors: Sina Zarrieß and David Schlangen
  2. 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
  3. Multi-Task Video Captioning with Visual and Textual Entailment
    Authors: Ramakanth Pasunuru and Mohit Bansal
  4. Translating Neuralese
    Authors: Jacob Andreas, Anca Dragan and Dan Klein
  5. Verb Physics: Relative Physical Knowledge of Actions and Objects
    Authors: Maxwell Forbes and Yejin Choi

Accepted Short Papers

Biomedical

  1. Neural Architecture for Temporal Relation Extraction: A Bi-LSTM Approach for Detecting Narrative Containers
    Authors: Julien Tourille, Olivier Ferret, Aurelie Neveol and Xavier Tannier
  2. Vector space models for evaluating semantic fluency in autism
    Authors: Emily Prud’hommeaux, Jan van Santen and Douglas Gliner

Cognitive Modelling and Psycholinguistics

  1. 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

  1. A Conditional Variational Framework for Dialog Generation
    Authors: Xiaoyu Shen, Hui Su, Yanran Li, Wenjie Li, Shuzi Niu and Akiko Aizawa
  2. 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
  3. MeChat: A Sequence to Sequence and Rerank based Chatbot Engine
    Authors:  Minghui Qiu and Feng-Lin Li

Discourse Pragmatics

  1. A Recurrent Neural Model with Attention for the Recognition of Chinese Implicit Discourse Relations
    Authors: Niko Schenk and Samuel Rönnqvist
  2. A Two-stage Parsing Method for Text-level Discourse Analysis
    Authors: Yizhong Wang and Sujian Li
  3. Argumentation Quality Assessment: Theory vs. Practice
    Authors: Henning Wachsmuth, Nona Naderi, Ivan Habernal, Yufang Hou, Graeme Hirst, Iryna Gurevych and Benno Stein
  4. Cross-lingual and cross-domain discourse segmentation of entire documents
    Authors: Chloé Braud, Ophélie Lacroix and Anders Søgaard
  5. Detecting Good Arguments in a Non-Topic-Specific Way: An Oxymoron?
    Authors: Beata Beigman Klebanov, Binod Gyawali and Yi Song
  6. 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
  7. Improving Implicit Discourse Relation Recognition with Discourse-specific Word Embeddings
    Authors: Changxing Wu, xiaodong shi, Yidong Chen, jinsong su and Boli Wang
  8. Lexical Features in Coreference Resolution: To be Used With Caution
    Authors: Nafise Sadat Moosavi and Michael Strube

Generation Summarization

  1. A Principled Framework for Evaluating Summarizers: Comparing Models of Summary Quality against Human Judgments
    Authors: Maxime Peyrard and Judith Eckle-Kohler
  2. Japanese Sentence Compression with a Large Training Dataset
    Authors: Shun Hasegawa, Yuta Kikuchi, Hiroya Takamura and Manabu Okumura
  3. Learning to Generate Natural Language Descriptions From Source Code Changes
    Authors: Pablo Loyola, Edison Marrese-Taylor and Yutaka Matsuo
  4. Oracle Summaries of Compressive Summarization
    Authors: Tsutomu Hirao, Masaaki Nishino and Masaaki Nagata

IE QA Text Mining Applications

  1. A Generative Attentional Neural Network Model for Dialogue Act Classification
    Authors: Quan Hung Tran, Gholamreza Haffari and Ingrid Zukerman
  2. Bootstrapping for Numerical Open IE
    Authors: Swarnadeep Saha, Harinder Pal and Mausam
  3. Cardinal Virtues: Extracting Relation Cardinalities from Text
    Authors: Paramita Mirza, Simon Razniewski, Fariz Darari and Gerhard Weikum
  4. Classifying Temporal Relations by Bidirectional LSTM over Dependency Paths
    Authors: Fei Cheng and Yusuke Miyao
  5. Complex Question Answering by Reasoning over Open Information Extraction
    Authors: Tushar Khot, Ashish Sabharwal and Peter Clark
  6. English Event Detection With Translated Language Features
    Authors: Sam Wei, Igor Korostil, Joel Nothman and Ben Hachey
  7. EviNets: Evidence Neural Networks for Combining Evidence Signals for Factoid Question Answering
    Authors: Denis Savenkov and Eugene Agichtein
  8. Feature-Rich Deep Neural Networks for Knowledge Base Completion
    Authors: Alexandros Komninos and Suresh Manandhar
  9. Fine-Grained Entity Typing with High-Multiplicity Assignments
    Authors: Maxim Rabinovich and Dan Klein
  10. Group Sparse CNNs for Question Classification with Answer Sets
    Authors: Mingbo Ma, Liang Huang, Bing Xiang and Bowen Zhou
  11. Improving Native Language Identification by Using Spelling Errors
    Authors: Lingzhen Chen, Carlo Strapparava and Vivi Nastase
  12. Integrating Deep Linguistic Features in Factuality Prediction over Unified Datasets
    Authors: Gabriel Stanovsky, Judith Eckle-Kohler, Yevgeniy Puzikov, Ido Dagan and Iryna Gurevych
  13. List-only Entity Linking
    Authors: Ying Lin, Chin-Yew Lin and Heng Ji
  14. Multi-Task Learning of Keyphrase Boundary Classification
    Authors: Isabelle Augenstein and Anders Søgaard
  15. Pocket Knowledge Base Population
    Authors: Travis Wolfe, Mark Dredze and Benjamin Van Durme
  16. Question Answering through Transfer Learning from Large Fine-grained Supervision Data
    Authors: Sewon Min, Minjoon Seo and Hannaneh Hajishirzi
  17. Question Answering with Universal Schema and Memory Networks
    Authors: Rajarshi Das, Manzil Zaheer, Siva Reddy and Andrew McCallum
  18. Salience Rank: Efficient Keyphrase Extraction with Topic Modeling
    Authors: Nedelina Teneva and Weiwei Cheng
  19. Self-Crowdsourcing Training for Relation Extraction
    Authors: Azad Abad, Moin Nabi and Alessandro Moschitti

Machine Learning

  1. A Deep Network with Visual Text Composition Behavior
    Authors: Hongyu GUO
  2. Differentiable Scheduled Sampling for Credit Assignment
    Authors: Kartik Goyal, Chris Dyer and Taylor Berg-Kirkpatrick
  3. Disfluency Detection using a Noisy Channel Model and a Deep Neural Language Model
    Authors: Paria Jamshid Lou and Mark Johnson
  4. Implicitly-Defined Neural Networks for Sequence Labeling
    Authors: Michaeel Kazi and Brian Thompson
  5. Information-Theory Interpretation of the Skip-Gram Negative-Sampling Objective Function
    Authors: Oren Melamud and Jacob Goldberger
  6. On the Equivalence of Holographic and Complex Embeddings for Knowledge Graph Completion
    Authors: Katsuhiko Hayashi and Masashi Shimbo

Machine Translation

  1. Alternative Objective Functions for Training MT Evaluation Metrics
    Authors: Miloš Stanojević and Khalil Sima’an
  2. An Empirical Comparison of Domain Adaptation Methods for Neural Machine Translation
    Authors: Chenhui Chu, Raj Dabre and Sadao Kurohashi
  3. Attention Strategies for Multi-Source Sequence-to-Sequence Learning
    Authors: Jindřich Libovický and Jindřich Helcl
  4. Chunk-Based Bi-Scale Decoder for Neural Machine Translation
    Authors: Hao Zhou, Zhaopeng Tu, Shujian Huang, Xiaohua Liu, Hang Li and Jiajun Chen
  5. Data Augmentation for Low-Resource Neural Machine Translation
    Authors: Marzieh Fadaee, Arianna Bisazza and Christof Monz
  6. Efficient Extraction of Pseudo-Parallel Sentences from Raw Monolingual Data Using Word Embeddings
    Authors: Benjamin Marie and Atsushi Fujita
  7. Hybrid Neural Network Alignment and Lexicon Model in Direct HMM for Statistical Machine Translation
    Authors: Weiyue Wang, Derui Zhu and Hermann Ney
  8. Learning to Parse and Translate Improves Neural Machine Translation
    Authors: Akiko Eriguchi, Yoshimasa Tsuruoka and Kyunghyun Cho
  9. Neural System Combination for Machine Translation
    Authors: Long Zhou, Wenpeng Hu, Jiajun Zhang and Chengqing Zong
  10. Sentence Embedding for Neural Machine Translation Domain Adaptation
    Authors: Rui Wang, Andrew Finch, Masao Utiyama and Eiichiro Sumita
  11. Speeding up Neural Machine Translation Decoding by Shrinking Run-time Vocabulary
    Authors: Xing Shi and Kevin Knight
  12. Towards String-To-Tree Neural Machine Translation
    Authors: Roee Aharoni and Yoav Goldberg

Multidisciplinary

  1. Automatic Compositor Attribution in the First Folio of Shakespeare
    Authors: Maria Ryskina, Hannah Alpert-Abrams, Dan Garrette and Taylor Berg-Kirkpatrick
  2. 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
  3. Error-repair Dependency Parsing for Ungrammatical Texts
    Authors: Keisuke Sakaguchi, Matt Post and Benjamin Van Durme
  4. Exploring Neural Text Simplification Models
    Authors: Sergiu Nisioi, Sanja Štajner, Simone Paolo Ponzetto and Liviu P. Dinu
  5. Feature Hashing for Language and Dialect Identification
    Authors: Shervin Malmasi
  6. On the Challenges of Translating NLP Research into Commercial Products
    Authors: Daniel Dahlmeier

Multilingual

  1. EuroSense: Automatic Harvesting of Multilingual Sense Annotations from Parallel Text
    Authors: Claudio Delli Bovi, Jose Camacho-Collados, Alessandro Raganato and Roberto Navigli
  2. Incorporating Dialectal Variability for Socially Equitable Language Identification
    Authors: David Jurgens, Yulia Tsvetkov and Dan Jurafsky
  3. Model Transfer for Tagging Low-resource Languages without Bilingual Corpora
    Authors: Meng Fang and Trevor Cohn

Phonology Morphology Word Segmentation

  1. Challenging Language-Dependent Segmentation for Arabic: An Application to Machine Translation and Part-of-Speech Tagging
    Authors: Hassan Sajjad, Fahim Dalvi, Nadir Durrani, Ahmed Abdelali, Yonatan Belinkov and Stephan Vogel
  2. Evaluation of Compound Splitting with Textual Entailment
    Authors: Glorianna Jagfeld, Patrick Ziering and Lonneke van der Plas
  3. Fast and Accurate Neural Word Segmentation
    Authors: Deng Cai and Hai Zhao

Resources Evaluation

  1. “Liar, Liar Pants on Fire”: A New Benchmark Dataset for Fake News Detection
    Authors:  William Yang Wang
  2. Constructing Large-Scale Japanese Image Caption Dataset
    Authors: Yuya Yoshikawa, Yutaro Shigeto and Akikazu Takeuchi
  3. English Multiword Expression-aware Dependency Parsing including Named Entities
    Authors: Akihiko Kato, Hiroyuki Shindo and Yuji Matsumoto
  4. Sentence Alignment Methods for Improving Text Simplification Systems
    Authors: Sanja Štajner, Marc Franco-Salvador, Simone Paolo Ponzetto, Paolo Rosso and Heiner Stuckenschmidt
  5. Understanding Task Design Trade-offs in Crowdsourced Paraphrase Collection
    Authors: Youxuan Jiang, Jonathan K. Kummerfeld and Walter S. Lasecki

Semantics

  1. AMR-to-text Generation with Synchronous Node Replacement Grammar
    Authors: Linfeng Song, Xiaochang Peng, Yue Zhang, Zhiguo Wang and Daniel Gildea
  2. Geometry of Sentences
    Authors: Jiaqi Mu, Suma Bhat and Pramod Viswanath
  3. Improving Semantic Composition with Offset Inference
    Authors: Thomas Kober, Julie Weeds, Jeremy Reffin and David Weir
  4. Learning Topic-Sensitive Word Representations
    Authors: Marzieh Fadaee, Arianna Bisazza and Christof Monz
  5. Methodical Evaluation of Arabic Word Embeddings
    Authors: Mohammed Elrazzaz, Chadi Helwe, Shady Elbassuoni and Khaled Shaban
  6. Neural Architectures for Multilingual Semantic Parsing
    Authors: Raymond Hendy Susanto and Wei Lu
  7. Neural Semantic Parsing over Multiple Knowledge-bases
    Authors: Jonathan Herzig and Jonathan Berant
  8. Temporal Word Analogies: Identifying Lexical Replacement with Diachronic Word Embeddings
    Authors: Terrence Szymanski
  9. The Value of Curated Negative Examples: Strong Baselines for Story Cloze Tasks
    Authors: Zheng Cai, Lifu Tu and Kevin Gimpel

Sentiment Analysis Opinion Mining

  1. Best-Worst Scaling More Reliable than Rating Scales: A Case Study on Sentiment Intensity Annotation
    Authors: Svetlana Kiritchenko and Saif Mohammad
  2. Exploiting Domain Knowledge via Grouped Weight Sharing with Application to Text Categorization
    Authors: Ye Zhang, Matthew Lease and Byron C. Wallace
  3. Learning Lexical-Functional Patterns for First-Person Affect
    Authors: Lena Reed, Jiaqi Wu, Shereen Oraby, Pranav Anand and Marilyn Walker
  4. Multilingual Connotation Frames: A Case Study on Social Media for Targeted Sentiment Analysis and Forecast
    Authors: Hannah Rashkin, Eric Bell, Yejin Choi and Svitlana Volkova
  5. Supervised Aspect Extraction with Knowledge Retention
    Authors: Lei Shu, Hu Xu and Bing Liu
  6. Understanding and Detecting Diverse Supporting Arguments on Controversial Issues
    Authors: Xinyu Hua and Lu Wang

Social Media

  1. A Network Framework for Noisy Label Aggregation in Social Media
    Authors: Xueying Zhan, Yaowei Wang, Yanghui Rao, Haoran Xie, Qing Li, Fu Lee Wang and Tak-Lam Wong
  2. A Neural Model for User Geolocation and Lexical Dialectology
    Authors: Afshin Rahimi, Trevor Cohn and Timothy Baldwin
  3. Demographic Inference on Twitter using Recursive Neural Networks
    Authors: Sunghwan Mac Kim, Qiongkai Xu, Lizhen Qu and Stephen Wan
  4. Determining Whether and When People Participate in the Events They Tweet About
    Authors: krishna sanagavarapu, Alakananda Vempala and Eduardo Blanco
  5. Improving Semantic Relevance for Chinese Social Media Text Summarization
    Authors: Shuming Ma and Xu Sun
  6. On the Distribution of Lexical Features in Social Media
    Authors: Fatemeh Almodaresi, Lyle Ungar, Vivek Kulkarni, Mohsen Zakeri, Salvatore Giorgi and H. Andrew Schwartz
  7. Recognizing Counterfactual Thinking in Social Media Texts
    Authors: Youngseo Son, Anneke Buffone, H. Andrew Schwartz and Lyle Ungar
  8. 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
  9. Temporal Orientation of Tweets for Predicting Income of User
    Authors: Mohammed Hasanuzzaman, Sabyasachi Kamila, Mandeep Kaur, Sriparna Saha and Asif Ekbal
  10. Twitter Demographic Classification using deep Multi-modal Multi-task Learning
    Authors: Soroush Vosoughi, Prashanth Vijayaraghavan and Deb Roy

Speech

  1. Incorporating Uncertainty into Deep Learning for Spoken Language Assessment
    Authors: Andrey Malinin, Anton Ragni, Kate Knill and Mark Gales

Tagging Chunking Syntax Parsing

  1. A Generative Parser with a Discriminative Recognition Algorithm
    Authors: Jianpeng Cheng, Adam Lopez and Mirella Lapata
  2. Arc-swift: A Novel Transition System for Dependency Parsing
    Authors: Peng Qi and Christopher D. Manning
  3. Character Composition Model with Convolutional Neural Networks for Dependency Parsing on Morphologically Rich Languages
    Authors: Xiang Yu and Ngoc Thang Vu
  4. Character-Aware Neural Morphological Disambiguation
    Authors: Alymzhan Toleu, Gulmira Tolegen and Aibek Makazhanov
  5. How (not) to train a dependency parser: The curious case of jackknifing part-of-speech taggers
    Authors: Željko Agić and Natalie Schluter
  6. Parser Adaptation for Social Media by Integrating Normalization
    Authors: Rob van der Goot and Gertjan van Noord
  7. Separating Reranking Effects from Model Combination Effects in Generative Neural Constituency Parsers
    Authors: Daniel Fried, Mitchell Stern and Dan Klein

Vision Robots Grounding

  1. A Corpus of Compositional Language for Visual Reasoning
    Authors: Alane Suhr, Mike Lewis, James Yeh and Yoav Artzi
  2. A Survey on Action Recognition Datasets and Tasks for Still Images
    Authors: Spandana Gella and Frank Keller

Accepted Software Demonstrations

  1. Extended Named Entity Recognition API and Its Applications in Language Education
    Authors:  Tuan Duc Nguyen, Khai Mai, Thai-Hoang Pham, Minh Trung Nguyen, Truc-Vien T. Nguyen, Takashi Eguchi, Ryohei Sasano and Satoshi Sekine
  2. 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
  3. OpenNMT: Open-Source Toolkit for Neural Machine Translation
    Authors:  Guillaume Klein, Yoon Kim, Yuntian Deng, Jean Senellart and Alexander M. Rush
  4. RelTextRank: An Open Source Framework for Building Relational Syntactic-Semantic Text Pair Representations
    Authors:  Kateryna Tymoshenko, Alessandro Moschitti, Massimo Nicosia and Aliaksei Severyn
  5. Scattertext: a Browser-Based Tool for Visualizing how Corpora Differ
    Authors:  Jason Kessler
  6. Benben: A Chinese Intelligent Conversational Robot
    Authors:  Wei-Nan Zhang, Ting Liu, Bing Qin, Yu Zhang, Wanxiang Che, Yanyan Zhao and Xiao Ding
  7. 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
  8. Hafez: an interactive poetry generation system
    Authors:  Marjan Ghazvininejad, Xing Shi, Jay Priyadarshi and Kevin Knight
  9. SuperAgent: A Customer Service Chatbot for E-commerce Websites
    Authors:  Lei Cui, Shaohan Huang, Furu Wei, Chuanqi Tan, Chaoqun Duan and Ming Zhou
  10. End-to-End Non-Factoid Question Answering with an Interactive Visualization of Neural Attention Weights
    Authors: Andreas Rücklé and Iryna Gurevych
  11. Automating Biomedical Evidence Synthesis: RobotReviewer
    Authors:  Iain Marshall, Joël Kuiper, Edward Banner and Byron C. Wallace
  12. Interactive Visual Analysis of Transcribed Multi-Party Discourse
    Authors:  Mennatallah El-Assady, Annette Hautli-Janisz, Valentin Gold, Miriam Butt, Katharina Holzinger and Daniel Keim
  13. 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
  14. UCCAApp: Web-application for Syntactic and Semantic Phrase-based Annotation
    Authors:  Omri Abend, Shai Yerushalmi and Ari Rappoport
  15. Multi-level Semantic Literature Search for the Life Sciences with Semedico
    Authors:  Erik Faessler and Udo Hahn
  16. Olelo: A Question Answering Application for Biomedicine
    Authors:  Mariana Neves, Hendrik Folkerts, Marcel Jankrift, Julian Niedermeier, Toni Stachewicz, Sören Tietböhl and Milena Kraus
  17. Exploring Diachronic Lexical Semantics with JEDISEM
    Authors:  Johannes Hellrich and Udo Hahn
  18. 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
  19. Annotating tense, mood and voice for English, French and German
    Authors:  Anita Ramm, Sharid Loáiciga, Annemarie Friedrich and Alexander Fraser
  20. ESTEEM: A Novel Framework for Qualitatively Evaluating and Visualizing Spatiotemporal Embeddings in Social Media
    Authors:  Dustin Arendt and Svitlana Volkova
  21. WebChild++ : Fine-Grained Commonsense Knowledge Distillation
    Authors:  Niket Tandon, Gerard de Melo and Gerhard Weikum

Transactions of the ACL articles to be presented at ACL 2017

These articles have been accepted and published by the Transactions of the Association for Computational Linguistics and will be featured as oral presentations at ACL 2017.

  1. Decoding Anagrammed Texts Written in an Unknown Language and Script
    Authors: Bradley Hauer and Grzegorz Kondrak
  2. Visually Grounded and Textual Semantic Models Differentially Decode Brain Activity Associated with Concrete and Abstract Nouns
    Authors: Andrew J. Anderson, Douwe Kiela, Stephen Clark, Massimo Poesio
  3. Evaluating Visual Representations for Topic Understanding and Their Effects on Manually Generated Labels
    Authors: Alison Smith, Tak Yeon Lee, Forough-Poursabzi Sangdeh, Jordan Boyd-Graber, Niklas Elmqvist, Leah Findlater
  4. Joint Semantic Synthesis and Morphological Analysis of the Derived Word
    Authors: Ryan Cotterell and Hinrich Schütze
  5. Learning to Prune: Exploring the Frontier of Fast and Accurate Parsing
    Authors: Tim Vieira, Jason Eisner
  6. Head-Lexicalized Bidirectional Tree LSTMs
    Authors: Zhiyang Teng and Yue Zhang
  7. Context Gates for Neural Machine Translation
    Authors: Zhaopeng Tu, Yang Liu, Zhengdong Lu, Xiaohua Liu, and Hang Li
  8. Modeling Semantic Expectation: Using Script Knowledge for Referent Prediction
    Authors: Ashutosh Modi, Ivan Titov, Vera Demberg, Asad Sayeed, Manfred Pinkal
  9. Enriching Word Vectors with Subword Information
    Authors: Piotr Bojanowski, Edouard Grave, Armand Joulin and Tomas Mikolov
  10. Winning on the Merits: The Joint Effects of Content and Style on Debate Outcomes
    Authors: Lu Wang, Nick Beauchamp, Sarah Shugars, Kechen Qin
  11. Overcoming Language Variation in Sentiment Analysis with Social Attention
    Authors: Yi Yang, Jacob Eisenstein
  12. Cross-Sentence N-ary Relation Extraction with Graph LSTMs
    Authors: Nanyun Peng, Hoifung Poon, Chris Quirk, Kristina Toutanova, Wen-Tau Yih
  13. Unsupervised Learning of Morphological Forests
    Authors: Jiaming Luo, Karthik Narasimhan, Regina Barzilay
  14. Fully Character-Level Neural Machine Translation without Explicit Segmentation
    Authors: Jason Lee, Kyunghyun Cho, Thomas Hofmann
  15. Fine-Grained Prediction of Syntactic Typology: Discovering Latent Structure with Supervised Learning
    Authors: Dingquan Wang and Jason Eisner
  16. Sparse Coding of Neural Word Embeddings for Multilingual Sequence Labeling
    Authors: Gábor Berend
  17. Domain-Targeted, High Precision Knowledge Extraction
    Authors: Bhavana Dalvi, Niket Tandon, Peter Clark
  18. Ordinal Common-sense Inference
    Authors: Sheng Zhang, Rachel Rudinger, Kevin Duh, Benjamin Van Durme
  19. Pushing the Limits of Translation Quality Estimation
    Authors: André F. T. Martins, Marcin Junczys-Dowmunt, Fabio N. Kepler, Ramón Astudillo, Chris Hokamp, Roman Grundkiewicz
  20. A Generative Model of Phonotactics
    Authors: Richard Futrell, Adam Albright, Peter Graff, and Timothy J. O’Donnell
  21. A Polynomial-Time Dynamic Programming Algorithm for Phrase-Based Decoding with a Fixed Distortion Limit
    Authors: Yin-Wen Chang and Michael Collins

26 thoughts on “Accepted Papers, Demonstrations and TACL Articles for ACL 2017

    1. Hi Jason, this is awesome. Thanks for doing it in short order! You can now do it for the TACL articles to be presented at ACL too! I’ll be in touch…

      Like

      1. Thanks a lot!

        I just updated the notebook to include a comparison of the TACL articles listed vs. long papers.

        One interesting finding as that while “generation” was used frequently in long papers’ titles, no TACL paper had the word in its title.

        Given the gripes about ACs authoring a lot of papers (53 by my count), I also compared the titles of papers by area chairs to average Joes. The results were interesting. ACs tended to use more straightforward, marketing-type language in their titles. “Fast and accurate”, “evidence”, and “new”.

        Average Joes frequently had the word “Chinese” in their titles, but not one AC use the term in a title.

        Take a look at the visualization for more details.

        http://nbviewer.jupyter.org/github/JasonKessler/jasonkessler.github.io/blob/master/Analysis-of-Accepted-ACL-2017-Papers.ipynb

        Like

    1. But doesn’t it make sense? AC’s are usually distinguished researchers in their field and as such they get more papers accepted than others.

      Like

    2. I think one should establish a clear and credible evidence before questioning the integrity of any researcher. Of course area chairs publish a lot of papers! They are typically pretty good researchers and that’s why they were selected as area chairs!

      Fortunately, there’s an easy way to account for this by looking at the number of ACL’17 papers co-authored by area chairs of previous ACL conferences. By my counting, area chairs of ACL’16 averaged 1.00 ACL’17 papers (38 ACL’17 papers / 38 ACL’16 area chairs). In contrast, area chairs of ACL’17 averaged 0.92 ACL’17 papers (56 ACL’17 papers / 61 ACL’17 area chairs). On average, area chairs of ACL’16 published more in ACL’17 than did area chairs of ACL’17 in ACL’17.

      Liked by 1 person

      1. “questioning the integrity of any researcher”. I think no one does this. But the question regarding bias must be allowed. I also do not understand your argument in the second part. It is to me like, “today the weather is bad, but yesterday it was worse, so the weather must be good today”…

        Like

      2. Hi ABC,

        Please read my comment again. Your analogy would hold if I compared the publication rate of ACL’16 ACs in ACL’16 to that of ACL’17 in ACL’17, but I did not.

        How do you suggest we study the potential bias?

        Like

  1. It seems that for many areas the acceptance rates are above 30%, such as 36% for Dialog Interactive Systems, while for some areas the rates are only 20%, such as sentiment analysis. If it is possible, could you explain the selecting strategy for each area? Thanks.

    Liked by 1 person

    1. Hi Eric, thanks for your comment. Yes, we will be post-digesting the acceptance/rejection rates overall soon. We definitely want everyone to have a clear understanding of how we took on this process; whether you agree with our decisions of course is up to you.

      Smaller areas did correlate to have higher acceptance rates and more cross disciplinary work. We’ll be breaking down the stats in the follow up post on this topic. Let us know if there’s specific questions you want answered.

      Liked by 1 person

  2. We recently update the list to include Transaction of the ACL (TACL) papers that will also be featured at ACL. Please have another read (they’re appended at the bottom of the post now)!

    Like

    1. Hi MY, It seems that one of our accepted papers “Parsing to 1-Endpoint-Crossing, Pagenumber-2 Graphs” is still not in the list. Please update the list. Thanks.

      Like

  3. Hi Program Chairs, my paper was accepted however we need a slight rearrangement of the author list (we are not adding or excluding any new authors other than a rearrangement.) We are also planning to update this in camera-ready copy.
    Is there any other action we need to perform. ?

    Like

  4. Dear chairs,

    I’m not sure if I should post this here in your blog or elsewhere (I’m not going to be in Vancouver, so I can’t raise it at the business meeting).

    I recently subscribed to the arXiv daily digest, and I find their format very practical to get a quick view of what’s going on. I’d like to suggest that ACL conferences and journals send their list of accepted papers, *together with abstracts and links to the pdfs*, to the ACL members. It’s a very practical way to skim through what has been accepted (titles), get the general idea (abstract), and delve deeper if necessary (pdf). I think that this would increase the visibility of the papers in our venues, and conversely help researchers in the community keep track of the literature.

    Of course, there should be a way to opt out of this service, but this should not be too difficult to implement, since there is already a “My Events/Journals Alerts” option in the ACL user page.

    Best regards,

    Gemma.

    Like

Comments are closed.