EMNLP 2017: Conference on Empirical Methods in Natural Language Processing — September 7–11, 2017 — Copenhagen, Denmark.

emnlp2017

SIGDAT, the Association for Computational Linguistics special interest group on linguistic data and corpus-based approaches to NLP, invites you to participate in EMNLP 2017.

Papers accepted for publication

EMNLP 2017 accepted a total of 323 papers. Of these 216 are long papers, and 107 are short papers.

Jump to short papers, long papers, demo papers.

Short papers

Authors Title
Heike Adel and Hinrich Schütze Global Normalization of Convolutional Neural Networks for Joint Entity and Relation Classification
Alham Fikri Aji and Kenneth Heafield Sparse Communication for Distributed Gradient Descent
Md Shad Akhtar, Abhishek Kumar, Deepanway Ghosal, Asif Ekbal and Pushpak Bhattacharyya A Multilayer Perceptron based Ensemble Technique for Fine-grained Financial Sentiment Analysis
Jacob Andreas and Dan Klein Analogs of Linguistic Structure in Deep Representations
Tatsuya Aoki, Ryohei Sasano, Hiroya Takamura and Manadu Okumura Distinguishing Japanese Non-standard Usages from Standard Ones
Zhenisbek Assylbekov, Rustem Takhanov, Bagdat Myrzakhmetov and Jonathan N. Washington Syllable-aware Neural Language Models: A Failure to Beat Character-aware Ones
Miguel Ballesteros and Yaser Al-Onaizan AMR Parsing using Stack-LSTMs
Antonio Valerio Miceli Barone, Barry Haddow, Ulrich Germann and Rico Sennrich Regularization techniques for fine-tuning in neural machine translation
Rachel Bawden Machine Translation, it's a question of style, innit? The case of English tag questions
Jan A. Botha, Emily Pitler, Ji Ma, Anton Bakalov, Alex Salcianu, David Weiss, Ryan McDonald and Slav Petrov Natural Language Processing with Small Feed-Forward Networks
Jiong Cai, Yong Jiang and Kewei Tu CRF Autoencoder for Unsupervised Dependency Parsing
Andrew Cattle and Xiaojuan Ma Predicting Word Association Strengths
Yin-Wen Chang and Michael Collins Source-Side Left-to-Right or Target-Side Left-to-Right? An Empirical Comparison of Two Phrase-Based Decoding Algorithms
Kehai Chen, Rui Wang, Masao Utiyama, Lemao Liu, Akihiro Tamura, Eiichiro Sumita and Tiejun Zhao Neural Machine Translation with Source Dependency Representation
Prafulla Kumar Choubey and Ruihong Huang A Sequential Model for Classifying Temporal Relations between Intra-Sentence Events
Oana Cocarascu and Francesca Toni Identifying attack and support argumentative relations using deep learning
Ryan Cotterell, Ekaterina Vylomova, Huda Khayrallah, Christo Kirov and David Yarowsky Paradigm Completion for Derivational Morphology
Jacob Devlin Sharp Models on Dull Hardware: Fast and Accurate Neural Machine Translation Decoding on the CPU
Tobias Domhan and Felix Hieber Using Target-side Monolingual Data for Neural Machine Translation through Multi-task Learning
Zi-Yi Dou Capturing User and Product Information for Document Level Sentiment Analysis with Deep Memory Network
Xinya Du and Claire Cardie Identifying Where to Focus in Reading Comprehension for Neural Question Generation
Mihai Dusmanu, Elena Cabrio and Serena Villata Argument Mining on Twitter: Arguments, Facts and Sources
Jared Fernandez, Zhaocheng Yu and Doug Downey VecShare: A Framework for Sharing Word Representation Vectors
Annemarie Friedrich and Damyana Gateva Classification of telicity using cross-linguistic annotation projection
Cheng-Yang Fu, Joon Lee, Mohit Bansal and Alexander Berg Video Highlight Prediction Using Audience Chat Reactions
Varun Gangal, Harsh Jhamtani, Graham Neubig, Eduard Hovy and Eric Nyberg Charmanteau: Character Embedding Models For Portmanteau Creation
Clément Gautrais, Peggy Cellier, René Quiniou and Alexandre Termier Topic Signatures in Political Campaign Speeches
Spandana Gella, Rico Sennrich, Frank Keller and Mirella Lapata Image Pivoting for Learning Multilingual Multimodal Representations
Tanya Goyal, Sachin Kelkar, Manas Agarwal and Jeenu Grover An Empirical Analysis of Edit Importance between Document Versions
Arihant Gupta, Syed Sarfaraz Akhtar, Avijit Vajpayee, Arjit Srivastava, Madan Gopal Jhanwar and Manish Shrivastava Exploiting Morphological Regularities in Distributional Word Representations
E. Dario Gutierrez, Guillermo Cecchi, Cheryl Corcoran and Philip Corlett Using Automated Metaphor Identification to Aid in Detection and Prediction of First-Episode Schizophrenia
Dan Han, Pascual Martínez-Gómez and Koji Mineshima Visual Denotations for Recognizing Textual Entailment
Wenjuan Han, Yong Jiang and Kewei Tu Dependency Grammar Induction with Neural Lexicalization and Big Training Data
Souleiman Hasan and Edward Curry Word Re-Embedding via Manifold Dimensionality Retention
Benjamin Heinzerling, Nafise Sadat Moosavi and Michael Strube Revisiting Selectional Preferences for Coreference Resolution
Aurélie Herbelot and Marco Baroni High-risk learning: acquiring new word vectors from tiny data
YiYao Huang and William Yang Wang Deep Residual Learning for Weakly-Supervised Relation Extraction
Liang Huang, Kai Zhao and Mingbo Ma When to Finish? Optimal Beam Search for Neural Text Generation (modulo beam size)
Zhuoxuan Jiang, Shanshan Feng, Gao Cong, Chunyan Miao and Xiaoming Li A Novel Cascade Model for Learning Latent Similarity from Heterogeneous Sequential Data of MOOC
Yong Jiang, Wenjuan Han and Kewei Tu Combining Generative and Discriminative Approaches to Unsupervised Dependency Parsing via Dual Decomposition
Khalid Al Khatib, Henning Wachsmuth, Matthias Hagen and Benno Stein Patterns of Argumentation Strategies across Topics
Joo-Kyung Kim, Young-Bum Kim, Ruhi Sarikaya and Eric Fosler-Lussier Cross-Lingual Transfer Learning for POS Tagging without Cross-Lingual Resources
Satwik Kottur, José Moura, Stefan Lee and Dhruv Batra Natural Language Does Not Emerge ‘Naturally’ in Multi-Agent Dialog
Andrey Kutuzov, Erik Velldal and Lilja Øvrelid Temporal dynamics of semantic relations in word embeddings: an application to predicting armed conflict participants
Thomas Lavergne and François Yvon Learning the Structure of Variable-Order CRFs: a finite-state perspective
Xin Li and Wai Lam Deep Multi-Task Learning for Aspect Term Extraction with Memory Interaction
Peng-Hsuan Li, Ruo-Ping Dong, Yu-Siang Wang, Ju-Chieh Chou and Wei-Yun Ma Leveraging Linguistic Structures for Named Entity Recognition with Bidirectional Recursive Neural Networks
Shen Li, Zhe Zhao, Tao Liu, Renfen Hu and Xiaoyong Du Initializing Convolutional Filters with Semantic Features for Text Classification
Haijing Liu, Yang Gao, Pin Lv, Mengxue Li, Shiqiang Geng, Minglan Li and Hao Wang Using Argument-based Features to Predict and Analyse Review Helpfulness
Tianyu Liu, Kexiang Wang, Baobao Chang and Zhifang Sui A Soft-label Method for Noise-tolerant Distantly Supervised Relation Extraction
Sharid Loáiciga, Liane Guillou and Christian Hardmeier What is it? Disambiguating the different readings of the pronoun ‘it’
You Lu, Jeffrey Lund and Jordan Boyd-Graber Why ADAGRAD Fails for Online Topic Modeling
Chaitanya Malaviya, Graham Neubig and Patrick Littell Learning Language Representations for Typology Prediction
Nitika Mathur, Timothy Baldwin and Trevor Cohn Sequence Effects in Crowdsourced Annotations
Oren Melamud, Ido Dagan and Jacob Goldberger A Simple Language Model based on PMI Matrix Approximations
Stefano Menini, Federico Nanni, Simone Paolo Ponzetto and Sara Tonelli Topic-Based Agreement and Disagreement in US Electoral Manifestos
David Mimno and Laure Thompson The strange geometry of skip-gram with negative sampling
Mathieu Morey, Philippe Muller and Nicholas Asher How much progress have we made on RST discourse parsing? A replication study of recent results on the RST-DT
Jesse Mu, Joshua K. Hartshorne and Timothy O'Donnell Evaluating Hierarchies of Verb Argument Structure with Hierarchical Clustering
Vivi Nastase and Carlo Strapparava Word Etymology as Native Language Interference
Xing Niu, Marianna Martindale and Marine Carpuat A Study of Style in Machine Translation: Controlling the Formality of Machine Translation Output
Enrique Noriega-Atala, Marco A. Valenzuela-Escárcega, Clayton Morrison and Mihai Surdeanu Learning what to read: Focused machine reading
Takamasa Oshikiri Segmentation-Free Word Embedding for Unsegmented Languages
Natalie Parde and Rodney Nielsen Finding Patterns in Noisy Crowds: Regression-based Annotation Aggregation for Crowdsourced Data
Ramakanth Pasunuru and Mohit Bansal Reinforcement Learning for Video Captioning with Entailment Rewards
Nima Pourdamghani and Kevin Knight Deciphering Related Languages
Daniel Preoţiuc-Pietro, Sharath Chandra Guntuku and Lyle Ungar Controlling Human Perception of Basic User Traits
Jay Pujara, Eriq Augustine and Lise Getoor Sparsity and Noise: Where Knowledge Graph Embeddings Fall Short
Hannah Rashkin, Eunsol Choi, Jin Yea Jang, Svitlana Volkova and Yejin Choi Truth of Varying Shades: Analyzing Language in Fake News and Political Fact-Checking
Joseph Sanu, Mingbin Xu, Hui Jiang and Quan Liu Word Embeddings based on Fixed-Size Ordinally Forgetting Encoding
Maarten Sap, Marcella Cindy Prasetio, Ari Holtzman, Hannah Rashkin and Yejin Choi Connotation Frames of Power and Agency in Modern Films
Kanthashree Mysore Sathyendra, Shomir Wilson, Florian Schaub, Sebastian Zimmeck and Norman Sadeh Identifying the Provision of Choices in Privacy Policy Text
Allen Schmaltz, Yoon Kim, Alexander Rush and Stuart Shieber Adapting Sequence Models for Sentence Correction
Raksha Sharma, Arpan Somani, Lakshya Kumar and Pushpak Bhattacharyya Sentiment Intensity Ranking among Adjectives Using Sentiment Bearing Word Embeddings
Aditya Sharma, Zarana Parekh and Partha Talukdar Speeding up Reinforcement Learning-based Information Extraction Training using Asynchronous Methods
Eyal Shnarch, Ran Levy, Vikas Raykar and Noam Slonim GRASP: Rich Patterns for Argumentation Mining
Lei Shu, Hu Xu and Bing Liu DOC: Deep Open Classification of Text Documents
Daniil Sorokin and Iryna Gurevych Context-Aware Representations for Knowledge Base Relation Extraction
Lucas Sterckx, Jason Naradowsky, Bill Byrne, Thomas Demeester and Chris Develder Break it Down for Me: A Study in Automated Lyric Annotation
Mitchell Stern, Daniel Fried and Dan Klein Effective Inference for Generative Neural Parsing
Karl Stratos A Sub-Character Architecture for Korean Language Processing
Siliang Tang, Ning Zhang, Jinjiang Zhang, Fei Wu and Yueting Zhuang NITE: A Neural Inductive Teaching Framework for Domain Specific NER
Quan Hung Tran, Ingrid Zukerman and Gholamreza Haffari Preserving Distributional Information in Dialogue Act Classification
Ferhan Ture and Oliver Jojic No Need to Pay Attention: Simple Recurrent Neural Networks Work!
Kateryna Tymoshenko, Daniele Bonadiman and Alessandro Moschitti Ranking Kernels for Structures and Embeddings: A Hybrid Preference and Classification Model
Ashwin Vijayakumar, Ramakrishna Vedantam and Devi Parikh Sound-Word2Vec: Learning Word Representations Grounded in Sounds
Longyue Wang, Zhaopeng Tu, Andy Way and Qun Liu Exploiting Cross-Sentence Context for Neural Machine Translation
Rui Wang, Masao Utiyama, Lemao Liu, Kehai Chen and Eiichiro Sumita Instance Weighting for Neural Machine Translation Domain Adaptation
Shaonan Wang, Jiajun Zhang and Chengqing Zong Exploiting Word Internal Structures for Generic Chinese Sentence Representation
Liang Wang, Sujian Li, Yajuan Lv and Houfeng WANG Learning to Rank Semantic Coherence for Topic Segmentation
Yi Wu, David Bamman and Stuart Russell Adversarial Training for Relation Extraction
Hainan Xu and Philipp Koehn Zipporah: a Fast and Scalable Data Cleaning System for Noisy Web-Crawled Parallel Corpora
Min Yang, Jincheng Mei, Heng Ji, zhao wei, Zhou Zhao and Xiaojun Chen Identifying and Tracking Sentiments and Topics from Social Media Texts during Natural Disasters
Wei Yang, Wei Lu and Vincent Zheng A Simple Regularization-based Algorithm for Learning Cross-Domain Word Embeddings
Weiwei Yang, Jordan Boyd-Graber and Philip Resnik Adapting Topic Models using Lexical Associations with Tree Priors
Semih Yavuz, Izzeddin Gur, Yu Su and Xifeng Yan Recovering Question Answering Errors via Query Revision
Licheng Yu, Mohit Bansal and Tamara Berg Hierarchically-Attentive RNN for Album Summarization and Storytelling
Liang-Chih Yu, Jin Wang, K. Robert Lai and Xuejie Zhang Refining Word Embeddings for Sentiment Analysis
Jinxing Yu, Xun Jian, Hao Xin and Yangqiu Song Joint Embeddings of Chinese Words, Characters, and Fine-grained Subcharacter Components
Sina Zarrieß and David Schlangen Deriving continous grounded meaning representations from referentially structured multimodal contexts
Xiaowei Zhang, Wei Chen, Shuang Xu and Bo Xu Towards Compact and Fast Neural Machine Translation Using a Combined Method
Qing Zhang and Houfeng Wang Noise-Clustered Distant Supervision for Relation Extraction: A Nonparametric Bayesian Perspective
Zhirui Zhang, Shujie Liu, Mu Li, Ming Zhou and Enhong Chen Stack-based Multi-layer Attention for Transition-based Dependency Parsing
Jianmin Zhang and Xiaojun Wan Towards Automatic Construction of News Overview Articles by News Synthesis
Kai Zhao, Dapeng Li and Liang Huang Joint Syntactic and Discourse Parsing with Recurrent Neural Models
Jie Zhao, Yu Su, Ziyu Guan and Huan Sun An End-to-End Deep Framework for Answer Triggering with a Novel Group-Level Objective
Hao Zhou, Zhenting Yu, Yue Zhang, Shujian Huang, XIN-YU DAI and Jiajun Chen Word-Context Character Embeddings for Chinese Word Segmentation

Long papers

Authors Title
David Alvarez-Melis and Tommi Jaakkola A causal framework for explaining the predictions of black-box sequence-to-sequence models
Hadi Amiri, Timothy Miller and Guergana Savova Repeat before Forgetting: Spaced Repetition for Efficient and Effective Training of Neural Networks
Peter Anderson, Basura Fernando, Mark Johnson and Stephen Gould Guided Open Vocabulary Image Captioning with Constrained Beam Search
Yuki Arase and Jun'ichi Tsujii Monolingual Phrase Alignment on Parse Forests
Adam St Arnaud, David Beck and Grzegorz Kondrak Identifying Cognate Sets Across Dictionaries of Related Languages
Ehsaneddin Asgari and Hinrich Schütze Past, Present, Future: A Computational Investigation of the Typology of Tense in 1000 Languages
Ivano Basile and Fabio Tamburini Towards Quantum Language Models
Joost Bastings, Ivan Titov, Wilker Aziz, Diego Marcheggiani and Khalil Simaan Graph Convolutional Encoders for Syntax-aware Neural Machine Translation
Chloé Braud, Ophélie Lacroix and Anders Søgaard Does syntax help discourse segmentation? Not so much
Denny Britz, Melody Guan and Minh-Thang Luong Efficient Attention using a Fixed-Size Memory Representation
Denny Britz, Anna Goldie, Minh-Thang Luong and Quoc Le Exploring Hyperparameter Sensitivity in Neural Machine Translation Architectures
Luana Bulat, Stephen Clark and Ekaterina Shutova Speaking, Seeing, Understanding: Correlating semantic models with conceptual representation in the brain
Iacer Calixto, Qun Liu and Nick Campbell Incorporating Global Visual Features into Attention-based Neural Machine Translation.
Junjie Cao, Sheng Huang, Weiwei Sun and Xiaojun Wan Quasi-Second-Order Parsing for 1-Endpoint-Crossing, Pagenumber-2 Graphs
Arun Chaganty, Ashwin Paranjape, Percy Liang and Christopher D. Manning Importance sampling for unbiased on-demand evaluation of knowledge base population
Cheng Chang, Runzhe Yang, Lu Chen, Xiang Zhou and Kai Yu Affordable On-line Dialogue Policy Learning
Snigdha Chaturvedi, Haoruo Peng and Dan Roth Story Comprehension for Predicting What Happens Next
Peng Chen, Zhongqian Sun, Lidong Bing and Wei Yang Recurrent Attention Network on Memory for Aspect Sentiment Analysis
Lu Chen, Xiang Zhou, Cheng Chang, Runzhe Yang and Kai Yu Agent-Aware Dropout DQN for Safe and Efficient On-line Dialogue Policy Learning
Hao Cheng, Hao Fang and Mari Ostendorf A Factored Neural Network Model for Characterizing Online Discussions in Vector Space
Prafulla Kumar Choubey and Ruihong Huang Event Coreference Resolution by Iteratively Unfolding Inter-dependencies among Events
Alexis Conneau, Douwe Kiela, Holger Schwenk, Loïc Barrault and Antoine Bordes Supervised Learning of Universal Sentence Representations from Natural Language Inference Data
Caio Corro, Joseph Le Roux and Mathieu Lacroix Efficient Discontinuous Phrase-Structure Parsing via the Generalized Maximum Spanning Arborescence
Ryan Cotterell and Georg Heigold Cross-lingual Character-Level Neural Morphological Tagging
Leonard Dahlmann, Evgeny Matusov, Pavel Petrushkov and Shahram Khadivi Neural Machine Translation Leveraging Phrase-based Models in a Hybrid Search
Johannes Daxenberger, Steffen Eger, Ivan Habernal, Christian Stab and Iryna Gurevych What is the Essence of a Claim? Cross-Domain Claim Identification
Jean-Benoit Delbrouck and Stéphane Dupont An empirical study of the effectiveness of images on Multi-modal Neural Machine Translation
Tao Ding, Warren K. Bickel and Shimei Pan Multi-View Unsupervised User Feature Embedding for Social Media-based Substance Use Prediction
Li Dong, Jonathan Mallinson, Siva Reddy and Mirella Lapata Learning to Paraphrase for Question Answering
Nan Duan, Duyu Tang, Peng Chen and Ming Zhou Question Generation for Question Answering
haim dubossarsky, Daphna Weinshall and Eitan Grossman Outta Control: Laws of Semantic Change and Inherent Biases in Word Representation Models
Greg Durrett, Jonathan K. Kummerfeld, Taylor Berg-Kirkpatrick, Rebecca Portnoff, Sadia Afroz, Damon McCoy, Kirill Levchenko and Vern Paxson Identifying Products in Online Cybercrime Marketplaces: A Dataset for Fine-grained Domain Adaptation
Joshua Eisenberg and Mark Finlayson A Simpler and More Generalizable Story Detector using Verb and Character Features
Micha Elsner and Cory Shain Speech segmentation with a neural encoder model of working memory
Arash Eshghi, Igor Shalyminov and Oliver Lemon Bootstrapping incremental dialogue systems from minimal data: the generalisation power of dialogue grammars
Tobias Falke and Iryna Gurevych Bringing Structure into Summaries: Crowdsourcing a Benchmark Corpus of Concept Maps
Meng Fang, Yuan Li and Trevor Cohn Learning how to Active Learn: A Deep Reinforcement Learning Approach
Bjarke Felbo, Alan Mislove, Anders Søgaard, Iyad Rahwan and Sune Lehmann Using millions of emoji occurrences to learn any-domain representations for detecting sentiment, emotion and sarcasm
Yang Feng, Shiyue Zhang, Andi Zhang, Dong Wang and Andrew Abel Memory-augmented Neural Machine Translation
Besnik Fetahu, Katja Markert and Avishek Anand Fine Grained Citation Span for References in Wikipedia
Kathleen C. Fraser, Kristina Lundholm Fors, Dimitrios Kokkinakis and Arto Nordlund An analysis of eye-movements during reading for the detection of mild cognitive impairment
Lea Frermann and György Szarvas Inducing Semantic Micro-Clusters from Deep Multi-View Representations of Novels
Zhe Gan, Yunchen Pu, Ricardo Henao, Chunyuan Li, Xiaodong He and Lawrence Carin Learning Generic Sentence Representations Using Convolutional Neural Networks
Octavian-Eugen Ganea and Thomas Hofmann Deep Joint Entity Disambiguation with Local Neural Attention
Aparna Garimella, Carmen Banea and Rada Mihalcea Demographic-aware word associations
Kiril Gashteovski, Rainer Gemulla and Luciano Del Corro MinIE: Minimizing Facts in Open Information Extraction
Aniruddha Ghosh and Tony Veale Magnets for Sarcasm: Making Sarcasm Detection Timely, Contextual and Very Personal
Goran Glavaš and Simone Paolo Ponzetto Dual Tensor Model for Detecting Asymmetric Lexico-Semantic Relations
David Golub, Po-Sen Huang, Xiaodong He and Li Deng Two-Stage Synthesis Networks for Transfer Learning in Machine Comprehension
Chen Gong, Zhenghua Li, Min Zhang and Xinzhou Jiang Multi-Grained Chinese Word Segmentation
Jiatao Gu, Kyunghyun Cho and Victor O.K. Li Trainable Greedy Decoding for Neural Machine Translation
Lin Gui, Jiannan Hu, Yulan He, Ruifeng Xu, Lu Qin and Jiachen Du A Question Answering Approach for Emotion Cause Extraction
Tao Gui, Qi Zhang, Haoran Huang, Minlong Peng and Xuanjing Huang Part-of-Speech Tagging for Twitter with Adversarial Neural Networks
Nitish Gupta, Sameer Singh and Dan Roth Entity Linking via Joint Encoding of Types, Descriptions, and Context
Kata Gábor, Haifa Zargayouna, Isabelle Tellier, Davide Buscaldi and Thierry Charnois Exploring Vector Spaces for Semantic Relations
Kazuma Hashimoto and Yoshimasa Tsuruoka Neural Machine Translation with Source-Side Latent Graph Parsing
Kazuma Hashimoto, caiming xiong, Yoshimasa Tsuruoka and Richard Socher A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks
Hua He, Kris Ganjam, Navendu Jain, Jessica Lundin, Ryen White and Jimmy Lin An Insight Extraction System on BioMedical Literature with Deep Neural Networks
Daniel Hewlett, Llion Jones, Alexandre Lacoste and izzeddin gur Accurate Supervised and Semi-Supervised Machine Reading for Long Documents
Cong Duy Vu Hoang, Gholamreza Haffari and Trevor Cohn Towards Decoding as Continuous Optimisation in Neural Machine Translation
Mark Hopkins, Cristian Petrescu-Prahova, Roie Levin, Ronan Le Bras, Alvaro Herrasti and Vidur Joshi Beyond Sentential Semantic Parsing: Tackling the Math SAT with a Cascade of Tree Transducers
Tobias Horsmann and Torsten Zesch Do LSTMs really work so well for PoS tagging? -- A replication study
Nabil Hossain, John Krumm, Lucy Vanderwende, Eric Horvitz and Henry Kautz Filling the Blanks (hint: plural noun) for Mad Libs Humor
Lifu Huang, Avirup Sil, Heng Ji and Radu Florian Improving Slot Filling Performance with Attentive Neural Networks on Dependency Structures
Danqing Huang, Shuming Shi, Chin-Yew Lin and Jian Yin Learning Fine-Grained Expressions to Solve Math Word Problems
Kai Hui, Andrew Yates, Klaus Berberich and Gerard de Melo PACRR: A Position-Aware Neural IR Model for Relevance Matching
Pierre Isabelle, Colin Cherry and George Foster A Challenge Set Approach to Evaluating Machine Translation
Masaru Isonuma, Toru Fujino, Junichiro Mori, Yutaka Matsuo and Ichiro Sakata Extractive Summarization Using Multi-Task Learning with Document Classification
Yangfeng Ji, Chenhao Tan, Sebastian Martschat, Yejin Choi and Noah A. Smith Dynamic Entity Representations in Neural Language Models
Robin Jia and Percy Liang Adversarial Examples for Evaluating Reading Comprehension Systems
Yohan Jo, Michael Yoder, Hyeju Jang and Carolyn Rose Modeling Dialogue Acts with Content Word Filtering and Speaker Preferences
Kenneth Joseph, Lisa Friedland, William Hobbs, David Lazer and Oren Tsur ConStance: Modeling Annotation Contexts to Improve Stance Classification
Nobuhiro Kaji and Hayato Kobayashi Incremental Skip-gram Model with Negative Sampling
Dongyeop Kang, Varun Gangal, Ang Lu, Zheng Chen and Eduard Hovy Detecting and Explaining Causes From Text For a Time Series Event
Jungo Kasai, Bob Frank, Tom McCoy, Owen Rambow and Alexis Nasr TAG Parsing with Neural Networks and Vector Representations of Supertags
Katherine Keith, Abram Handler, Michael Pinkham, Cara Magliozzi, Joshua McDuffie and Brendan O'Connor Identifying civilians killed by police with distantly supervised entity-event extraction
Nikita Kitaev and Dan Klein Where is Misty? Interpreting Spatial Descriptors by Modeling Regions in Space
Jayant Krishnamurthy, Pradeep Dasigi and Matt Gardner Neural Semantic Parsing with Type Constraints for Semi-Structured Tables
Guokun Lai, Qizhe Xie, Hanxiao Liu, Yiming Yang and Eduard Hovy RACE: Large-scale ReAding Comprehension Dataset From Examinations
Wuwei Lan, Siyu Qiu, Hua He and Wei Xu A Continuously Growing Dataset of Sentential Paraphrases
Man Lan, Jianxiang Wang, Yuanbin Wu, Zheng-Yu Niu and Haifeng Wang Multi-task Attention-based Neural Networks for Implicit Discourse Relationship Representation and Identification
Carolin Lawrence, Artem Sokolov and Stefan Riezler Counterfactual Learning from Bandit Feedback under Deterministic Logging : A Case Study in Statistical Machine Translation
Kenton Lee, Luheng He, Mike Lewis and Luke Zettlemoyer End-to-end Neural Coreference Resolution
Guang-He Lee and Yun-Nung Chen MUSE: Modularizing Unsupervised Sense Embeddings
Mike Lewis, Denis Yarats, Yann Dauphin, Devi Parikh and Dhruv Batra Deal or No Deal? End-to-End Learning of Negotiation Dialogues
Piji Li, Wai Lam, Lidong Bing and Zihao Wang Deep Recurrent Generative Decoder for Abstractive Text Summarization
Piji Li, Wai Lam, Lidong Bing, Weiwei Guo and Hang Li Cascaded Attention based Unsupervised Information Distillation for Compressive Summarization
Bofang Li, Tao Liu, Zhe Zhao, Buzhou Tang, Aleksandr Drozd, Anna Rogers and Xiaoyong Du Investigating Different Syntactic Context Types and Context Representations for Learning Word Embeddings
Jiwei Li and Dan Jurafsky Neural Net Models of Open-domain Discourse Coherence
Jiwei Li, Will Monroe, Tianlin Shi, S\'ebastien Jean, Alan Ritter and Dan Jurafsky Adversarial Learning for Neural Dialogue Generation
Haoran Li, Junnan Zhu, Cong Ma, Jiajun Zhang and Chengqing Zong Multi-modal Summarization for Asynchronous Collection of Text, Image, Audio and Video
Hongyu Lin, Le Sun and Xianpei Han Reasoning with Heterogeneous Knowledge for Commonsense Machine Comprehension
Liyuan Liu, Xiang Ren, Qi Zhu, Shi Zhi, Huan Gui, Heng Ji and Jiawei Han Heterogeneous Supervision for Relation Extraction: A Representation Learning Approach
Rui Liu, Junjie Hu, Wei Wei, Zi Yang and Eric Nyberg Structural Embedding of Syntactic Trees for Machine Comprehension
Yang Liu, Kun Han, Zhao Tan and Yun Lei Using Context Information for Dialog Act Classification in DNN Framework
Yang Liu and Mirella Lapata Learning Contextually Informed Representations for Linear-Time Discourse Parsing
Pengfei Liu, Kaiyu Qian, Xipeng Qiu and Xuanjing Huang Idiom-Aware Compositional Distributed Semantics
Yunfei Long, Lu Qin, Rong Xiang, Minglei Li and Chu-Ren Huang A Cognition Based Attention Model for Sentiment Analysis
Teng Long, Emmanuel Bengio, Ryan Lowe, Jackie Chi Kit Cheung and Doina Precup World Knowledge for Reading Comprehension: Rare Entity Prediction with Hierarchical LSTMs Using External Descriptions
Yi Luan, Mari Ostendorf and Hannaneh Hajishirzi Scientific Information Extraction with Semi-supervised Neural Tagging
Bingfeng Luo, Yansong Feng, Jianbo Xu, Xiang Zhang and Dongyan Zhao Learning to Predict Charges for Criminal Cases with Legal Basis
Veronica Lynn, Youngseo Son, Vivek Kulkarni, Niranjan Balasubramanian and H. Andrew Schwartz Human Centered NLP with User-Factor Adaptation
Qingsong Ma, Yvette Graham, Timothy Baldwin and Qun Liu Further Investigation into Reference Bias in Monolingual Evaluation of Machine Translation
Aroma Mahendru, Viraj Prabhu, Akrit Mohapatra, Dhruv Batra and Stefan Lee The Promise of Premise: Harnessing Question Premises in Visual Question Answering
Ana Marasovic, Leo Born, Juri Opitz and Anette Frank A Mention-Ranking Model for Abstract Anaphora Resolution
Diego Marcheggiani and Ivan Titov Encoding Sentences with Graph Convolutional Networks for Semantic Role Labeling
André F. T. Martins and Julia Kreutzer Learning What's Easy: Fully Differentiable Neural Easy-First Taggers
Stephen Mayhew, Chen-Tse Tsai and Dan Roth Cheap Translation for Cross-Lingual Named Entity Recognition
Lara McConnaughey, Jennifer Dai and David Bamman The Labeled Segmentation of Printed Books
Dheeraj Mekala, Vivek Gupta, Bhargavi Paranjape and Harish Karnick SCDV : Sparse Composite Document Vectors using soft clustering over distributional representations
Yuanliang Meng, Anna Rumshisky and Alexey Romanov Temporal Information Extraction for Question Answering Using Syntactic Dependencies in an LSTM-based Architecture
Dipendra Misra, John Langford and Yoav Artzi Mapping Instructions and Visual Observations to Actions with Reinforcement Learning
Alex Morales and Chengxiang Zhai Identifying Humor in Reviews using Background Text Sources
Aldrian Obaja Muis and Wei Lu Labeling Gaps Between Words: Recognizing Overlapping Mentions with Mention Separators
Ndapandula Nakashole and Raphael Flauger Knowledge Distillation for Bilingual Dictionary Induction
Shashi Narayan, Claire Gardent, Shay B. Cohen and Anastasia Shimorina Split and Rephrase
Khanh Nguyen, Hal Daumé III and Jordan Boyd-Graber Reinforcement Learning for Bandit Neural Machine Translation with Simulated Human Feedback
Kim Anh Nguyen, Maximilian Köper, Sabine Schulte im Walde and Ngoc Thang Vu Hierarchical Embeddings for Hypernymy Detection and Directionality
Giannis Nikolentzos, Polykarpos Meladianos, Francois Rousseau, Yannis Stavrakas and Michalis Vazirgiannis Shortest-Path Graph Kernels for Document Similarity
Qiang Ning, Zhili Feng and Dan Roth A Structured Learning Approach to Temporal Relation Extraction
Rodrigo Nogueira and Kyunghyun Cho Task-Oriented Query Reformulation with Reinforcement Learning
Jekaterina Novikova, Ondřej Dušek, Amanda Cercas Curry and Verena Rieser Why We Need New Evaluation Metrics for NLG
Prakhar Ojha and Partha Talukdar KGEval: Accuracy Estimation of Automatically Constructed Knowledge Graphs
Deepak P, Dinesh Garg and Shirish Shevade Latent Space Embedding for Retrieval in Question-Answer Archives
Sungjoon Park, JinYeong Bak and Alice Oh Rotated Word Vector Representations and their Interpretability
Tommaso Pasini and Roberto Navigli Train-O-Matic: Large-Scale Supervised Word Sense Disambiguation in Multiple Languages without Manual Training Data
Jasabanta Patro, Bidisha Samanta, Saurabh Singh, Abhipsa Basu, Prithwish Mukherjee, Monojit Choudhury and Animesh Mukherjee All that is English may be Hindi: Enhancing language identification through automatic ranking of the likeliness of word borrowing in social media
John Pavlopoulos, Prodromos Malakasiotis and Ion Androutsopoulos Deeper Attention to Abusive User Content Moderation
Haoruo Peng, Ming-Wei Chang and Wen-tau Yih Maximum Margin Reward Networks for Learning from Explicit and Implicit Supervision
Baolin Peng, Xiujun Li, Lihong Li, Jianfeng Gao, Asli Celikyilmaz, Sungjin Lee and Kam-Fai Wong Composite Task-Completion Dialogue Policy Learning via Hierarchical Deep Reinforcement Learning
Yuval Pinter, Robert Guthrie and Jacob Eisenstein Mimicking Word Embeddings using Subword RNNs
Lahari Poddar, Wynne Hsu and Mong Li Lee Author-aware Aspect Topic Sentiment Model to Retrieve Supporting Opinions from Reviews
Peter Potash and Anna Rumshisky Towards Debate Automation: a Recurrent Model for Predicting Debate Winners
Peter Potash, Alexey Romanov and Anna Rumshisky Here's My Point: Joint Pointer Architecture for Argument Mining
Alessandro Raganato, Claudio Delli Bovi and Roberto Navigli Neural Sequence Learning Models for Word Sense Disambiguation
Afshin Rahimi, Timothy Baldwin and Trevor Cohn Continuous Representation of Location for Geolocation and Lexical Dialectology using Mixture Density Networks
Jonathan Raiman and John Miller Globally Normalized Reader
Prajit Ramachandran, Peter Liu and Quoc Le Improving sequence to sequence learning with unlabeled data
Farzana Rashid and Eduardo Blanco Dimensions of Interpersonal Relationships: Corpus and Experiments
Siva Reddy, Oscar Täckström, Slav Petrov, Mark Steedman and Mirella Lapata Universal Semantic Parsing
Marek Rei, Luana Bulat, Douwe Kiela and Ekaterina Shutova Grasping the Finer Point: A Supervised Similarity Network for Metaphor Detection
Nils Reimers and Iryna Gurevych Reporting Score Distributions Makes a Difference: Performance Study of LSTM-networks for Sequence Tagging
Guy D. Rosin, Kira Radinsky and Eytan Adar Learning Word Relatedness over Time
Sebastian Ruder and Barbara Plank Learning to select data for transfer learning with Bayesian Optimization
Mrinmaya Sachan, Kumar Dubey and Eric Xing From Textbooks to Knowledge: A Case Study in Harvesting Axiomatic Knowledge from Textbooks to Solve Geometry Problems
Enrico Santus, Emmanuele Chersoni, Alessandro Lenci and Philippe Blache Measuring Thematic Fit with Distributional Feature Overlap
Alexandra Schofield, Laure Thompson and David Mimno Quantifying the Effects of Text Duplication on Semantic Models
Sarah Schulz and Jonas Kuhn Multi-modular domain-tailored OCR post-correction
H. Andrew Schwartz, Masoud Rouhizadeh, Michael Bishop, Philip Tetlock, Barbara Mellers and Lyle Ungar Assessing Objective Recommendation Quality through Political Forecasting
Stanislau Semeniuta, Aliaksei Severyn and Erhardt Barth A Hybrid Convolutional Variational Autoencoder for Text Generation
Iulian Vlad Serban, Alexander G. Ororbia, Joelle Pineau and Aaron Courville Piecewise Latent Variables for Neural Variational Text Processing
Yuanlong Shao, Stephan Gouws, Denny Britz, Anna Goldie, Brian Strope and Ray Kurzweil Generating High-Quality and Informative Conversation Responses with Sequence-to-Sequence Models
Gehui Shen, Yunlun Yang and Zhi-Hong Deng Inter-Weighted Alignment Network for Sentence Pair Modeling
Tianze Shi, Liang Huang and Lillian Lee Fast(er) Exact Decoding and Global Training for Transition-Based Dependency Parsing via a Minimal Feature Set
Masumi Shirakawa, Takahiro Hara and Takuya Maekawa Never Abandon Minorities: Exhaustive Extraction of Bursty Phrases on Microblogs Using Set Cover Problem
Matthias Sperber, Graham Neubig, Jan Niehues and Alex Waibel Neural Lattice-to-Sequence Models for Uncertain Inputs
Shashank Srivastava, Igor Labutov and Tom Mitchell Joint Concept Learning and Semantic Parsing from Natural Language Explanations
Felix Stahlberg and Bill Byrne Unfolding and Shrinking Neural Machine Translation Ensembles
Miloš Stanojević and Raquel Garrido Alhama Neural Discontinuous Constituency Parsing
Emma Strubell, Patrick Verga, David Belanger and Andrew McCallum Fast and Accurate Entity Recognition with Iterated Dilated Convolutions
Tzu-ray Su and Hung-yi Lee Learning Chinese Word Representations From Glyphs Of Characters
Yu Su and Xifeng Yan Cross-domain Semantic Parsing via Paraphrasing
Sandesh Swamy, Alan Ritter and Marie-Catherine de Marneffe "i have a feeling trump will win..................": Forecasting Winners and Losers from User Predictions on Twitter
Chuanqi Tan, Furu Wei, Pengjie Ren, Weifeng Lv and Ming Zhou Entity Linking for Queries by Searching Wikipedia Sentences
Julien Tissier, Christopher Gravier and Amaury Habrard Dict2vec : Learning Word Embeddings using Lexical Dictionaries
David Vilares and Yulan He Detecting Perspectives in Political Debates
Ivan Vulić, Nikola Mrkšić and Anna Korhonen Cross-Lingual Induction and Transfer of Verb Classes Based on Word Vector Space Specialisation
Henning Wachsmuth, Giovanni Da San Martino, Dora Kiesel and Benno Stein The Impact of Modeling Overall Argumentation with Tree Kernels
Chuan Wang and Nianwen Xue Getting the Most out of AMR Parsing
Kexiang Wang, Tianyu Liu, Zhifang Sui and Baobao Chang Affinity-Preserving Random Walk for Multi-Document Summarization
Di Wang, Nebojsa Jojic, Chris Brockett and Eric Nyberg Steering Output Style and Topic in Neural Response Generation
Zhongqing Wang and Yue Zhang Opinion Recommendation Using A Neural Model
Chengyu Wang, Xiaofeng He and Aoying Zhou A Short Survey on Taxonomy Learning from Text Corpora: Issues, Resources and Recent Advances
Chengyu Wang, Yan Fan, Xiaofeng He and Aoying Zhou Learning Fine-grained Relations from Chinese User Generated Categories
Xing Wang, Zhaopeng Tu, Deyi Xiong and Min Zhang Translating Phrases in Neural Machine Translation
Yasheng Wang, Yang Zhang and Bing Liu Sentiment Lexicon Expansion Based on Neural PU Learning, Double Dictionary Lookup, and Polarity Association
Leyi Wang and Rui Xia Sentiment Lexicon Construction with Representation Learning Based on Hierarchical Sentiment Supervision
Zhongqing Wang, Yue Zhang and Ching-Yun Chang Integrating Order Information and Event Relation for Script Event Prediction
Yan Wang, Xiaojiang Liu and Shuming Shi Deep Neural Solver for Math Word Problems
Chenguang Wang, Alan Akbik, laura chiticariu, Yunyao Li, Fei Xia and Anbang Xu CROWD-IN-THE-LOOP: A Hybrid Approach for Annotating Semantic Roles
Shaolei Wang, Wanxiang Che, Yue Zhang, Meishan Zhang and Ting Liu Transition-Based Disfluency Detection using LSTMs
Marlies van der Wees, Arianna Bisazza and Christof Monz Dynamic Data Selection for Neural Machine Translation
Rongxiang Weng, Shujian Huang, Zaixiang Zheng, XIN-YU DAI and Jiajun CHEN Neural Machine Translation with Word Predictions
John Wieting, Jonathan Mallinson and Kevin Gimpel Learning Paraphrastic Sentence Embeddings from Back-Translated Bitext
Derry Tanti Wijaya, Brendan Callahan, John Hewitt, Jie Gao, Xiao Ling, Marianna Apidianaki and Chris Callison-Burch Learning Translations via Matrix Completion
Sam Wiseman, Alexander Rush and Stuart Shieber Challenges in Data-to-Document Generation
Wenhan Xiong, Thien Hoang and William Yang Wang DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning
Zhen Xu, Bingquan Liu, Baoxun Wang, Chengjie SUN, Xiaolong Wang, Zhuoran Wang and Chao Qi Neural Response Generation via GAN with an Approximate Embedding Layer
Kui Xu and Xiaojun Wan Towards a Universal Sentiment Classifier in Multiple languages
Hitomi Yanaka, Koji Mineshima, Pascual Martínez-Gómez and Daisuke Bekki Determining Semantic Textual Similarity using Natural Deduction Proofs
Fan Yang, Arjun Mukherjee and Eduard Dragut Satirical News Detection and Analysis using Attention Mechanism and Linguistic Features
Diyi Yang, Aaron Halfaker, Robert Kraut and Eduard Hovy Identifying Semantic Edit Intentions from Revisions in Wikipedia
Zichao Yang, Phil Blunsom, Chris Dyer and Wang Ling Reference-Aware Language Models
Bishan Yang and Tom Mitchell A Joint Sequential and Relational Model for Frame-Semantic Parsing
Baosong Yang, Derek F. Wong, Tong Xiao, Lidia S. Chao and Jingbo Zhu Towards Bidirectional Hierarchical Representations for Attention-based Neural Machine Translation
Helen Yannakoudakis, Marek Rei, Øistein E. Andersen and Zheng Yuan Neural Sequence-Labelling Models for Grammatical Error Correction
Lili Yao, Yaoyuan Zhang, Yansong Feng, Dongyan Zhao and Rui Yan Towards Implicit Content-Introducing for Generative Short-Text Conversation Systems
Andrew Yates, Arman Cohan and Nazli Goharian Depression and Self-Harm Risk Assessment in Online Forums
Yichun Yin, Yangqiu Song and Ming Zhang Document-Level Multi-Aspect Sentiment Classification as Machine Comprehension
Xuwang Yin and Vicente Ordonez Obj2Text: Generating Visually Descriptive Language from Object Layouts
Qingyu Yin, Yu Zhang, Weinan Zhang and Ting Liu Chinese Zero Pronoun Resolution with Deep Memory Network
Amir Zadeh, Minghai Chen, Soujanya Poria, Erik Cambria and Louis-Philippe Morency Tensor Fusion Network for Multimodal Sentiment Analysis
Nasser Zalmout and Nizar Habash Don't Throw Those Morphological Analyzers Away Just Yet: Neural Morphological Disambiguation for Arabic
Rowan Zellers and Yejin Choi Zero-Shot Activity Recognition with Verb Attribute Induction
Wenyuan Zeng, Yankai Lin, Zhiyuan Liu and Maosong Sun Incorporating Relation Paths in Neural Relation Extraction
Xiao Zhang, Yong Jiang, Hao Peng, Kewei Tu and Dan Goldwasser Semi-supervised Structured Prediction with Neural CRF Autoencoder
Xingxing Zhang and Mirella Lapata Sentence Simplification with Deep Reinforcement Learning
Meishan Zhang, Yue Zhang and Guohong Fu End-to-End Neural Relation Extraction with Global Optimization
Yuhao Zhang, Victor Zhong, Danqi Chen, Gabor Angeli and Christopher D. Manning Position-aware Attention and Supervised Data Improve Slot Filling
Meng Zhang, Yang Liu, Huanbo Luan and Maosong Sun Earth Mover's Distance Minimization for Unsupervised Bilingual Lexicon Induction
Yuchen Zhang, Panupong Pasupat and Percy Liang Macro Grammars and Holistic Triggering for Efficient Semantic Parsing
Justine Zhang, Arthur Spirling and Cristian Danescu-Niculescu-Mizil Asking too much? The rhetorical role of questions in political discourse
Jieyu Zhao, Tianlu Wang, Mark Yatskar, Vicente Ordonez and Kai-Wei Chang Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints
Zhe Zhao, Tao Liu, Shen Li, Bofang Li and Xiaoyong Du Ngram2vec: Learning Improved Word Representations from Ngram Co-occurrence Statistics
Xiaoqing Zheng Incremental Graph-based Neural Dependency Parsing
Honglei Zhuang, Chi Wang, Fangbo Tao, Lance Kaplan and Jiawei Han Identifying Semantically Deviating Outlier Documents

Demo papers

Authors Title
Abdalghani Abujabal, Rishiraj Saha Roy, Mohamed Yahya and Gerhard Weikum QUINT: Interpretable Question Answering over Knowledge Bases
Lasha Abzianidze LangPro: Natural Language Theorem Prover
Alan Akbik and Roland Vollgraf The Projector: An Interactive Annotation Projection Visualization Tool
Cecilia Ovesdotter Alm, Benjamin Meyers and Emily Prud'hommeaux An Analysis and Visualization Tool for Case Study Learning of Linguistic Concepts
Franck Dernoncourt, Ji Young Lee and Peter Szolovits NeuroNER: an easy-to-use program for named-entity recognition based on neural networks
Tobias Falke and Iryna Gurevych GraphDocExplore: A Framework for the Experimental Comparison of Graph-based Document Exploration Techniques
Ivan Habernal, Raffael Hannemann, Christian Pollak, Christopher Klamm, Patrick Pauli and Iryna Gurevych Argotario: Computational Argumentation Meets Serious Games
Chieh-Yang Huang, Tristan Labetoulle, Ting-Hao Huang, Yi-Pei Chen, Hung-Chen Chen, Vallari Srivastava and Lun-Wei Ku MoodSwipe: A Soft Keyboard that Suggests MessageBased on User-Specified Emotions
Jaesong Lee, Joong-Hwi Shin and Jun-Seok Kim Interactive Visualization and Manipulation of Attention-based Neural Machine Translation
Ross Mechanic, Dean Fulgoni, Hannah Cutler, Sneha Rajana, Zheyuan Liu, Bradley Jackson, Anne Cocos, Chris Callison-Burch and Marianna Apidianaki KnowYourNyms? A Game of Semantic Relationships
Alexander Miller, Will Feng, Dhruv Batra, Antoine Bordes, Adam Fisch, Jiasen Lu, Devi Parikh and Jason Weston ParlAI: A Dialog Research Software Platform
Alexander Panchenko, Fide Marten, Eugen Ruppert, Stefano Faralli, Dmitry Ustalov, Simone Paolo Ponzetto and Chris Biemann Unsupervised, Knowledge-Free, and Interpretable Word Sense Disambiguation
Simone Papandrea, Alessandro Raganato and Claudio Delli Bovi SupWSD: A Flexible Toolkit for Supervised Word Sense Disambiguation
Kyle Richardson and Jonas Kuhn Function Assistant: A Tool for NL Querying of APIs
Ludwig Richter, Johanna Geiß, Andreas Spitz and Michael Gertz HeidelPlace: An Extensible Framework for Geoparsing
Aaron Sarnat, Vidur Joshi, Cristian Petrescu-Prahova, Alvaro Herrasti, Brandon Stilson and Mark Hopkins Interactive Visualization for Linguistic Structure
Nathan Schneider and Chuck Wooters The NLTK FrameNet API: Designing for Discoverability with a Rich Linguistic Resource
H. Andrew Schwartz, Salvatore Giorgi, Maarten Sap, Patrick Crutchley, Lyle Ungar and Johannes Eichstaedt DLATK: Differential Language Analysis ToolKit
Ori Shapira, Hadar Ronen, Meni Adler, Yael Amsterdamer, Judit Bar-Ilan and Ido Dagan Interactive Abstractive Summarization for Event News Tweets
Felix Stahlberg, Eva Hasler, Danielle Saunders and Bill Byrne SGNMT -- A Flexible NMT Decoding Platform for Quick Prototyping of New Models and Search Strategies
Kohsuke Yanai, Misa Sato, Toshihiko Yanase, Kenzo Kurotsuchi, Yuta Koreeda and Yoshiki Niwa StruAP: A Tool for Bundling Linguistic Trees through Structure-based Abstract Pattern