2018 年 8 月 26 日 专知

EMNLP(Conference on Empirical Methods in Natural Language Processing)是自然语言处理领域的顶会,由ACL学会下的语言数据特殊兴趣小组SIGDAT组织,自1996年起每年举行。最近EMNLP2018接受论文公布:



A Probabilistic Model for Joint Learning of Word Embeddings from Texts and Images
Melissa Ailem, Bowen Zhang, Aurélien Bellet, Pascal Denis and Fei Sha

Gromov-Wasserstein Alignment of Word Embedding Spaces
David Alvarez-Melis and Tommi Jaakkola

Summarizing Opinions: Aspect Extraction Meets Sentiment Prediction and They Are Both Weakly Supervised
Stefanos Angelidis and Mirella Lapata

Unsupervised Statistical Machine Translation
Mikel Artetxe, Gorka Labaka and Eneko Agirre

Deep and Wide Reader: Effective Memory Augmenting Method for Large-Scale Reading Comprehension
Seohyun Back, Seunghak Yu, Sathish Reddy Indurthi, Jihie Kim and Jaegul Choo

Generating More Interesting Responses in Neural Conversation Models with Distributional Constraints
Ashutosh Baheti, Alan Ritter, Jiwei Li and Bill Dolan

Predicting Factuality of Reporting and Bias of News Media Sources
Ramy Baly, Georgi Karadzhov, Dimitar Alexandrov, James Glass and Preslav Nakov

Deriving Machine Attention from Human Rationales
Yujia Bao, Shiyu Chang, Mo Yu and Regina Barzilay

Commonsense for Generative Multi-Hop Question Answering Tasks
Lisa Bauer, Yicheng Wang and Mohit Bansal

Visual Supervision in Bootstrapped Information Extraction
Matthew Berger, Ajay Nagesh, Joshua Levine, Mihai Surdeanu and Helen Zhang

Auto-Encoding Dictionary Definitions into Consistent Word Embeddings
Tom Bosc and Pascal Vincent

Is this Sentence Difficult? Do you Agree?
Dominique Brunato, Felice Dell’Orletta, Lorenzo De Mattei, Benedetta Iavarone and Giulia Venturi

MultiWOZ - A Large-Scale Multi-Domain Wizard-of-Oz Dataset for Task-Oriented Dialogue Modelling
Paweł Budzianowski, Tsung-Hsien Wen, Bo-Hsiang Tseng, Iñigo Casanueva, Stefan Ultes, Osman Ramadan and Milica Gasic

Adversarial Transfer Learning for Chinese Named Entity Recognition with Self-Attention Mechanism
Pengfei Cao, Yubo Chen, Kang Liu and Jun Zhao

Joint Representation Learning of Cross-lingual Words and Entities via Attentive Distant Supervision
Yixin Cao, Lei Hou, Juanzi Li, Zhiyuan Liu, Chengjiang Li, Xu Chen and Tiansi Dong

Extractive Adversarial Networks: High-Recall Explanations for Identifying Personal Attacks in Social Media Posts
Samuel Carton, Qiaozhu Mei and Paul Resnick

Thread Popularity Prediction and Tracking with a Permutation-invariant Model
Hou Pong Chan and Irwin King

Detecting Gang-Involved Escalation on Social Media Using Context
Serina Chang, Ruiqi Zhong, Ethan Adams, Fei-Tzin Lee, Siddharth Varia, Chris Kedzie, Desmond Patton, William Frey and Kathy McKeown

Extracting Entities and Relations with Joint Minimum Risk Training
sun changzhi, Yuanbin Wu and Man Lan

Adapting Word Embeddings to New Languages with Morphological and Phonological Subword Representations
Aditi Chaudhary, Chunting Zhou, Lori Levin, Graham Neubig, David R. Mortensen and Jaime Carbonell

A Stable and Effective Learning Strategy for Trainable Greedy Decoding
Yun Chen, Victor O.K. Li, Kyunghyun Cho and Samuel Bowman

Abstractive Text-Image Summarization based on Multi-Modal Attentional Hierarchical RNN
Jingqiang Chen and Hai Zhuge

Collective Event Detection via a Hierarchical and Bias Tagging Networks with Gated Multi-level Attention Mechanisms
Yubo Chen, Hang Yang, Kang Liu and Jun Zhao

Iterative Document Representation Learning Towards Summarization with Polishing
Xiuying Chen, Shen Gao, Chongyang Tao, Yan Song, Dongyan Zhao and Rui Yan

Keyphrase Generation with Correlation Constraints
Jun Chen, Xiaoming Zhang, Yu Wu, Zhao Yan and Zhoujun Li

PreCo: A Large-scale Dataset in Preschool Vocabulary for Coreference Resolution
Hong Chen, Zhenhua Fan, Hao Lu, Alan Yuille and Shu Rong

Temporally Grounding Natural Sentence in Video
Jingyuan Chen, Xinpeng Chen, Lin Ma, Zequn Jie and Tat-Seng Chua

Unsupervised Multilingual Word Embeddings
Xilun Chen and Claire Cardie

Variational Sequential Labelers for Semi-Supervised Sequence Labeling
Mingda Chen, Qingming Tang, Karen Livescu and Kevin Gimpel

XL-NBT: A Cross-lingual Neural Belief Tracking Framework
Wenhu Chen, Jianshu Chen, Yu Su, Xin Wang, Dong Yu, Xifeng Yan and William Yang Wang

Revisiting Character-Based Neural Machine Translation with Capacity and Compression
Colin Cherry, George Foster, Ankur Bapna, Orhan Firat and Wolfgang Macherey

Crosslingual Sense Embeddings in One Space
Ta Chung Chi and Yun-Nung Chen

Possessors Change Over Time: A Case Study with Artworks
Dhivya Chinnappa and Eduardo Blanco

QuAC: Question Answering in Context
Eunsol Choi, He He, Mohit Iyyer, Mark Yatskar, Wen-tau Yih, Yejin Choi, Percy Liang and Luke Zettlemoyer

Neural Quality Estimation of Grammatical Error Correction
Shamil Chollampatt and Hwee Tou Ng

Learning Personas from Dialogue with Attentive Memory Networks
Eric Chu, Prashanth Vijayaraghavan and Deb Roy

Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering
Peter Clark, Tushar Khot, Todor Mihaylov and Ashish Sabharwal

Semi-Supervised Sequence Modeling with Cross-View Training
Kevin Clark, Minh-Thang Luong, Christopher D. Manning and Quoc Le

Privacy-preserving Neural Representations of Text
Maximin Coavoux, Shashi Narayan and Shay B. Cohen

Learning Scalar Adjective Intensity from Paraphrases
Anne Cocos, Veronica Wharton, Ellie Pavlick, Marianna Apidianaki and Chris Callison-Burch

Incremental Computation of Infix Probabilities for Probabilistic Finite Automata
Marco Cognetta, Yo-Sub Han and Soon Chan Kwon

XNLI: Cross-lingual Sentence Understanding through Inference
Alexis Conneau, Ruty Rinott, Guillaume Lample, Adina Williams, Samuel Bowman, Holger Schwenk and Veselin Stoyanov

Deep Attentive Sentence Ordering Network
Baiyun Cui, Yingming Li, Ming Chen and Zhongfei Zhang

Building Context-aware Clause Representations for Situation Entity Type Classification
Zeyu Dai and Ruihong Huang

Entity Linking within a Social Media Platform: A Case Study on Yelp
Hongliang Dai, Yangqiu Song, Liwei Qiu and Rijia Liu

HyTE: Hyperplane-based Temporally aware Knowledge Graph Embedding
SHIB SANKAR DASGUPTA, Swayambhu Nath Ray and Partha Talukdar

WECA:A WordNet-Encoded Collocation-Attention Network for Homographic Pun Recognition
Yufeng Diao, hongfei lin, di wu, liang yang, shaowu zhang, zhihao yang, jian wang, bo xu and kan xu

Weeding out Conventionalized Metaphors: A Corpus of Novel Metaphor Annotations
Erik-Lân Do Dinh, Hannah Wieland and Iryna Gurevych

BanditSum: Extractive Summarization as a Contextual Bandit
Yue Dong, Yikang Shen, Eric Crawford, Herke van Hoof, Jackie Chi Kit Cheung and Aaron Courville

Exploiting Deep Representations for Neural Machine Translation
Zi-Yi Dou, Zhaopeng Tu, Xing Wang, Shuming Shi and Tong Zhang

Improving Cross-Lingual Word Embeddings by Meeting in the Middle
Yerai Doval, Jose Camacho-Collados, Luis Espinosa Anke and Steven Schockaert

Multi-Level Structured Self-Attentions for Distantly Supervised Relation Extraction
Jinhua Du

Variational Autoregressive Decoder for Neural Response Generation
Jiachen Du, Wenjie Li, Yulan He, Ruifeng Xu, Lidong Bing and Xuan Wang

Coming to Your Senses: on Controls and Evaluation Sets in Polysemy Research
Haim Dubossarsky, Eitan Grossman and Daphna Weinshall

DeepCx: A transition-based approach for shallow semantic parsing with complex constructional triggers
Jesse Dunietz, Jaime Carbonell and Lori Levin

Understanding Back-Translation at Scale
Sergey Edunov, Myle Ott, Michael Auli and David Grangier

Is it Time to Swish? Comparing Deep Learning Activation Functions Across NLP tasks
Steffen Eger, Paul Youssef and Iryna Gurevych

Adversarial Removal of Demographic Attributes from Text Data
Yanai Elazar and Yoav Goldberg

A Challenge Set and Methods for Noun-Verb Ambiguity
Ali Elkahky, Kellie Webster, Daniel Andor and Emily Pitler

A Knowledge Hunting Framework for Common Sense Reasoning
Ali Emami, Adam Trischler, Kaheer Suleman, Noelia De La Cruz and Jackie Chi Kit Cheung

Back-Translation Sampling by Targeting Difficult Words in Neural Machine Translation
Marzieh Fadaee and Christof Monz

Multi-grained Attention Network for Aspect-Level Sentiment Classification
Feifan Fan, Yansong Feng and Dongyan Zhao

Transfer and Multi-Task Learning for Noun–Noun Compound Interpretation
Murhaf Fares, Stephan Oepen and Erik Velldal

AtomicWikiEdits: A Multilingual Corpus of Wikipedia Edits for Modeling Language and Discourse
Manaal Faruqui, Ellie Pavlick, Ian Tenney and Dipanjan Das

Pathologies of Neural Models Make Interpretation Difficult
Shi Feng, Eric Wallace, Alvin Grissom II, Mohit Iyyer, Pedro Rodriguez and Jordan Boyd-Graber

Dynamic Oracles for Top-Down and In-Order Shift-Reduce Constituent Parsing
Daniel Fernández-González and Carlos Gómez-Rodríguez

Framing and Agenda-Setting in Russian News: a Computational Analysis of Intricate Political Strategies
Anjalie Field, Doron Kliger, Shuly Wintner, Jennifer Pan, Dan Jurafsky and Yulia Tsvetkov

Unsupervised Natural Language Generation with Denoising Autoencoders
Markus Freitag and SCOTT ROY

Speed Reading: Learning to Read ForBackward via Shuttle
Tsu-Jui Fu and Wei-Yun Ma

APRIL: Interactively Learning to Summarise by Combining Active Preference Learning and Reinforcement Learning
Yang Gao, Christian M. Meyer and Iryna Gurevych

Fine-grained Coordinated Cross-lingual Text Stream Alignment for Endless Language Knowledge Acquisition
Tao Ge, Qing Dou, Heng Ji, Lei Cui, Baobao Chang, Zhifang Sui, Furu Wei and Ming Zhou

Bottom-Up Abstractive Summarization
Sebastian Gehrmann, Yuntian Deng and Alexander Rush

Adaptive Multi-pass Decoder for Neural Machine Translation with Reinforcement Learning
Xinwei Geng, Xiaocheng Feng, Bing Qin and Ting Liu

On the Relation between Linguistic Typology and (Limitations of) Multilingual Language Modeling
Daniela Gerz, Ivan Vulić, Edoardo Maria Ponti, Roi Reichart and Anna Korhonen

Text, Visual and Acoustic are Friends! A Multi-Modal Attention Framework for Utterance-Level Sentiment Prediction
Deepanway Ghosal, Md Shad Akhtar, Dushyant Chauhan, Soujanya Poria, Asif Ekbal and Pushpak Bhattacharyya

Explaining Character-Aware Neural Networks for Word-Level Prediction: Do They Discover Linguistic Rules?
Fréderic Godin, Kris Demuynck, Joni Dambre, Wesley De Neve and Thomas Demeester

Native Language Identification with User Generated Content
Gili Goldin, Ella Rabinovich and Shuly Wintner

Convolutional Interaction Network for Natural Language Inference
Jingjing Gong, Xipeng Qiu, Xinchi Chen and Xuanjing Huang

Preposition Sense Disambiguation and Representation
Hongyu Gong, Jiaqi Mu, Suma Bhat and pramod viswanath

Disambiguated skip-gram model
Karol Grzegorczyk and Marcin Kurdziel

Language Modeling with Sparse Product of Sememe Experts
Yihong Gu, Jun Yan, Hao Zhu, Zhiyuan Liu, Ruobing Xie, Maosong Sun, Fen Lin and Leyu Lin

Meta-Learning for Low-Resource Neural Machine Translation
Jiatao Gu, Yong Wang, Yun Chen, Victor O. K. Li and Kyunghyun Cho

Top-down Tree Structured Decoding with Syntactic Connections for Neural Machine Translation and Parsing
Jetic Gu, Hassan S. Shavarani and Anoop Sarkar

Part-of-Speech Tagging for Twitter by Different Expression Styles
Tao Gui, Qi Zhang, Jingjing Gong, Minlong Peng, di liang, Keyu Ding and Xuanjing Huang

Better Transition-Based AMR Parsing with Refined Search Space
Zhijiang Guo and Wei Lu

Multi-Source Domain Adaptation with Mixture of Experts
Jiang Guo, Darsh Shah and Regina Barzilay

Question Generation from SQL Queries Improves Neural Semantic Parsing
Daya Guo, Yibo Sun, Duyu Tang, Nan Duan, Ming Zhou and Jian Yin

Neural Compositional Denotational Semantics for Question Answering
Nitish Gupta and Mike Lewis

Constituent Parsing as Sequence Labeling
Carlos Gómez-Rodríguez and David Vilares

Streaming word similarity mining on the cheap
Olof Görnerup and Daniel Gillblad

Hierarchical Relation Extraction with Coarse-to-Fine Grained Attention
Xu Han, Pengfei Yu, Zhiyuan Liu, Maosong Sun and Peng Li

Supervised Clustering of Questions into Intents for Dialog System Applications
Iryna Haponchyk, Antonio Uva, Seunghak Yu, Olga Uryupina and Alessandro Moschitti

ICON: Interactive Conversational Memory Network for Multimodal Emotion Detection
Devamanyu Hazarika, Soujanya Poria, Erik Cambria, Roger Zimmermann and Rada Mihalcea

Adaptive Semi-supervised Learning for Cross-domain Sentiment Classification
Ruidan He, Wee Sun Lee, Hwee Tou Ng and Daniel Dahlmeier

Decoupling Strategy and Generation in Negotiation Dialogues
He He, Derek Chen, Anusha Balakrishnan and Percy Liang

Unsupervised Learning of Syntactic Structure with Invertible Neural Projections
Junxian He, Graham Neubig and Taylor Berg-Kirkpatrick

Sanskrit Word Segmentation Using Character-level Recurrent and Convolutional Neural Networks
Oliver Hellwig and Sebastian Nehrdich

Localizing Moments in Video with Temporal Language
Lisa Anne Hendricks, Bryan Russell, Eli Shechtman, Josef Sivic, Oliver Wang and Trevor Darrell

Object Hallucination in Image Captioning
Lisa Anne Hendricks, Anna Rohrbach, Trevor Darrell, Kaylee Burns and Kate Saenko

Decoupling Structure and Lexicon for Zero-Shot Semantic Parsing
Jonathan Herzig and Jonathan Berant

Discriminative Learning of Open-Vocabulary Object Retrieval and Localization by Negative Phrase Augmentation
Ryota Hinami and Shin’ichi Satoh

Automatic Pyramid Evaluation Exploiting EDU-based Extractive Reference Summaries
Tsutomu Hirao, Hidetaka Kamigaito and Masaaki Nagata

Why Swear? Analyzing and Inferring the Intentions of Vulgar Expressions
Eric Holgate, Isabel Cachola, Daniel Preoţiuc-Pietro and Junyi Jessy Li

Non-Adversarial Unsupervised Word Translation
Yedid Hoshen and Lior Wolf

A Deterministic Algorithm for Bridging Anaphora Resolution
Yufang Hou

Capturing Regional Variation with Distributed Place Representations and Geographic Retrofitting
Dirk Hovy and Christoph Purschke

A State-transition Framework to Answer Complex Questions over Knowledge Base
Sen Hu, Lei Zou and Xinbo Zhang

Attention-Guided Answer Distillation for Machine Reading Comprehension
Minghao Hu, Yuxing Peng, Zhen Huang, Dongsheng Li, Nan Yang, Furu Wei and Ming Zhou

Playing 20 Question Game with Policy-Based Reinforcement Learning
Huang Hu, Xianchao Wu, Bingfeng Luo, Chongyang Tao, Can Xu and wei wu

Large Margin Neural Language Model
Jiaji Huang, Yi Li, Wei Ping and Liang Huang

Multi-lingual Common Semantic Space Construction via Cluster-Consistent Word Embedding
Lifu Huang, Kyunghyun Cho, Boliang Zhang, Heng Ji and Kevin Knight

Siamese Network-Based Supervised Topic Modeling
Minghui Huang, Yanghui Rao, Yuwei Liu, Haoran Xie and Fu Lee Wang

Mapping Language to Code in Programmatic Context
Srinivasan Iyer, Ioannis Konstas, Alvin Cheung and Luke Zettlemoyer

Learning Disentangled Representations of Texts with Application to Biomedical Abstracts
Sarthak Jain, Edward Banner, Jan-Willem van de Meent, Iain J Marshall and Byron C. Wallace

Learning to Describe Differences Between Pairs of Similar Images
Harsh Jhamtani and Taylor Berg-Kirkpatrick

Closed-Book Training to Improve Summarization Encoder Memory
Yichen Jiang and Mohit Bansal

Dependency-based Hybrid Trees for Semantic Parsing
Zhanming Jie and Wei Lu

Depth-bounding is effective: Improvements and Evaluation of Unsupervised PCFG Induction
Lifeng Jin, Finale Doshi-Velez, Timothy Miller, William Schuler and Lane Schwartz

Hierarchical Neural Networks for Sequential Sentence Classification in Medical Scientific Abstracts
Di Jin and Peter Szolovits

Joint Multitask Learning for Community Question Answering Using Task-Specific Embeddings
Shafiq Joty, Lluís Màrquez and Preslav Nakov

Neural Transductive Learning and Beyond: Morphological Generation in the Minimal-Resource Setting
Katharina Kann and Hinrich Schütze

Mapping Text to Knowledge Graph Entities by Vector Space Transformation
Dimitri Kartsaklis, Mohammad Taher Pilehvar and Nigel Collier

Chargrid: Towards Understanding 2D Documents
Anoop R Katti, Christian Reisswig, Cordula Guder, Sebastian Brarda, Steffen Bickel, Johannes Höhne and Jean Baptiste Faddoul

Content Selection in Deep Learning Models of Summarization
Chris Kedzie, Kathleen McKeown and Hal Daume III

Uncertainty-aware generative models for inferring document class prevalence
Katherine Keith and Brendan O’Connor

Context-Attentive Embeddings for Improved Sentence Representations
Douwe Kiela, Changhan Wang and Kyunghyun Cho

Identifying the narrative styles of YouTube’s vloggers
Bennett Kleinberg, Maximilian Mozes and Isabelle van der Vegt

Frustratingly Easy Model Ensemble for Abstractive Summarization
Hayato Kobayashi

Free as in Free Word Order: An Energy Based Model for Word Segmentation and Morphological Tagging in Sanskrit
Amrith Krishna, Bishal Santra, Sasi Prasanth Bandaru, Gaurav Sahu, Vishnu Dutt Sharma, Pavankumar Satuluri and Pawan Goyal

Improving Abstraction in Text Summarization
Wojciech Kryściński, Romain Paulus, Caiming Xiong and Richard Socher

Multi-view Models for Political Ideology Detection of News Articles
Vivek Kulkarni, Junting Ye, Steve Skiena and William Yang Wang

A Nil-Aware Answer Extraction Framework for Question Answering
Souvik Kundu and Hwee Tou Ng

Learning Semantic Parsers from Natural Language Supervision
Igor Labutov, Bishan Yang and Tom Mitchell

Textual Analogy Parsing: What’s Shared and What’s Compared among Analogous Facts
Matthew Lamm, Arun Chaganty, Christopher D. Manning, Dan Jurafsky and Percy Liang

Phrase-Based & Neural Unsupervised Machine Translation
Guillaume Lample, Myle Ott, Alexis Conneau, Ludovic Denoyer and Marc’Aurelio Ranzato

Investigating the Role of Argumentation in the Rhetorical Analysis of Scientific Publications with Neural Multi-Task Learning Models
Anne Lauscher, Goran Glavaš, Simone Paolo Ponzetto and Kai Eckert

Large-scale Exploration of Neural Relation Classification Architectures
Hoang-Quynh Le, Duy-Cat Can, Sinh T. Vu, Thanh Hai Dang, Mohammad Taher Pilehvar and Nigel Collier

Adapting the Neural Encoder-Decoder Framework from Single to Multi-Document Summarization
Logan Lebanoff, Kaiqiang Song and Fei Liu

Automatic Detection of Vague Words and Sentences in Privacy Policies
Logan Lebanoff and Fei Liu

Deterministic Non-Autoregressive Neural Sequence Modeling by Iterative Refinement
Jason Lee, Elman Mansimov and Kyunghyun Cho

Temporal Information Extraction by Predicting Relative Time-lines
Artuur Leeuwenberg and Marie-Francine Moens

TVQA: Localized, Compositional Video Question Answering
Jie Lei, Licheng Yu, Mohit Bansal and Tamara Berg

Training RNNs as Fast as CNNs
Tao Lei, Yu Zhang, Sida I. Wang, Hui Dai and Yoav Artzi

A Self-Attentive Model with Gate Mechanism for Spoken Language Understanding
Changliang Li and Liang Li

A Unified Syntax-aware Framework for Semantic Role Labeling
Zuchao Li, Shexia He, Jiaxun Cai, Zhuosheng Zhang and Hai Zhao

Generating Classical Chinese Poems via Conditional Variational Autoencoder and Adversarial Training
Juntao Li, Yan Song, Haisong Zhang, Dongmin Chen, Shuming Shi and Rui Yan

Improving Neural Abstractive Document Summarization with Explicit Information Selection Modeling
Wei Li, Xinyan Xiao and Yajuan Lyu

Improving Neural Abstractive Document Summarization with Structural Regularization
Wei Li, Xinyan Xiao and Yajuan Lyu

Learning Neural Embeddings for CLIR with Adversarial Framework
Bo Li and Ping Cheng

NPRF: A Neural Pseudo Relevance Feedback Framework for Ad-hoc Information Retrieval
Canjia Li, Yingfei Sun, Ben He, Le Wang, Kai Hui, Andrew Yates, Le Sun and Jungang Xu

Paraphrase Generation with Deep Reinforcement Learning
Zichao Li, Xin Jiang, Lifeng Shang and Hang Li

Tell-and-Answer: Towards Explainable Visual Question Answering using Attributes and Captions
Qing Li, Jianlong Fu, Dongfei Yu, Tao Mei and Jiebo Luo

Multimodal Language Analysis with Recurrent Multistage Fusion
Paul Pu Liang, Ziyin Liu, AmirAli Bagher Zadeh and Louis-Philippe Morency

Sentence Editing under Quantifiable Guidance
Yi Liao, Lidong Bing, Piji Li, Shuming Shi, Wai Lam and Tong Zhang

Multi-Hop Knowledge Graph Reasoning with Reward Shaping
Xi Victoria Lin, Richard Socher and Caiming Xiong

Neural Adaptation Layers for Cross-domain Named Entity Recognition
Bill Yuchen Lin and Wei Lu

Semantic Role Labeling for Learner Chinese: the Importance of Syntactic Parsing and the L2-L1 Parallel Data
Zi Lin, Yuguang Duan, Yuanyuan Zhao, Weiwei Sun and Xiaojun Wan

Semantic-Unit-Based Dilated Convolution for Multi-Label Text Classification
Junyang Lin, Xu SUN, Pengcheng Yang, Shuming Ma and Qi Su

A Multi-answer Multi-task Framework for Real-world Machine Reading Comprehension
Jiahua Liu, Wan Wei, Maosong Sun, Hao Chen, Yantao Du and Dekang Lin

An AMR Aligner Tuned by Transition-based Parser
Yijia Liu, Wanxiang Che, Bo Zheng, Bing Qin and Ting Liu

Automatic Event Salience Identification
Zhengzhong Liu, Chenyan Xiong, Teruko Mitamura and Eduard Hovy

Controlling Length in Abstractive Summarization Using a Convolutional Neural Network
Yizhu Liu, Zhiyi Luo and Kenny Zhu

Efficient Contextualized Representation: Language Model Pruning for Sequence Labeling
Liyuan Liu, Xiang Ren, Jingbo Shang, Xiaotao Gu, Jian Peng and Jiawei Han

Heuristically Informed Unsupervised Idiom Usage Recognition
Changsheng Liu and Rebecca Hwa

Jointly Multiple Events Extraction via Attention-based Graph Information Aggregation
Xiao Liu, Zhunchen Luo and Heyan Huang

Neural Multitask Learning for Simile Recognition
Lizhen Liu, Xiao Hu, Wei Song, Ruiji Fu, Ting Liu and Guoping Hu

Neural Relation Extraction via Inner-Sentence Noise Reduction and Transfer Learning
Tianyi Liu, Xinsong Zhang, Wanhao Zhou and Weijia Jia

Structured Alignment Networks for Matching Sentences
Yang Liu, Matt Gardner and Mirella Lapata

simNet: Stepwise Image-Topic Merging Network for Generating Detailed and Comprehensive Image Captions
Fenglin Liu, Xuancheng Ren, Xu SUN, Yuanxin LIU and Houfeng WANG

Disfluency Detection using Auto-Correlational Neural Networks
Paria Jamshid Lou, Peter Anderson and Mark Johnson

Entity-aware Image Caption Generation
Di Lu, Spencer Whitehead, Lifu Huang, Heng Ji and Shih-Fu Chang

Multi-Task Identification of Entities, Relations, and Coreference for Scientific Knowledge Graph Construction
Yi Luan, Luheng He, Mari Ostendorf and Hannaneh Hajishirzi

Content Explorer: Recommending Novel Entities for a Document Writer
Michal Lukasik and Richard Zens

ExtRA: Extracting Prominent Review Aspects from Customer Feedback
Zhiyi Luo, Shanshan Huang, Frank F. Xu, Bill Yuchen Lin, Hanyuan Shi and Kenny Zhu

Knowledge Base Question Answering via Encoding of Complex Query Graphs
Kangqi Luo, Fengli Lin, Xusheng Luo and Kenny Zhu

Leveraging Gloss Knowledge in Neural Word Sense Disambiguation by Hierarchical Co-Attention
Fuli Luo, Tianyu Liu, Zexue He, Qiaolin Xia, Zhifang Sui and Baobao Chang

Differentiating Concepts and Instances for Knowledge Graph Embedding
Xin Lv, Lei Hou, Juanzi Li and Zhiyuan Liu

Noise Contrastive Estimation for Conditional Models: Consistency and Statistical Efficiency
Zhuang Ma and Michael Collins

A Word-Complexity Lexicon and A Neural Readability Ranking Model for Lexical Simplification
Mounica Maddela and Wei Xu

Implicational Universals in Stochastic Constraint-Based Phonology
Giorgio Magri

A Genre-Aware Attention Model to Improve Likability Prediction of Books
Suraj Maharjan, Manuel Montes, Fabio A. González and Thamar Solorio

Modeling Inter-Aspect Relation in Aspect-Based Sentiment Analysis
Navonil Majumder, Soujanya Poria, Md Shad Akhtar, Erik Cambria, Alexander Gelbukh and Asif Ekbal

Neural Transition Based Parsing of Web Queries: An Entity Based Approach
Rivka Malca and Roi Reichart

Sentence Compression for Arbitrary Languages via Multilingual Pivoting
Jonathan Mallinson, Rico Sennrich and Mirella Lapata

Targeted Syntactic Evaluation of Language Models
Rebecca Marvin and Tal Linzen

Deep Relevance Ranking using Enhanced Document-Query Interactions
Ryan McDonald, George Brokos and Ion Androutsopoulos

Pyramidal Recurrent Unit for Language Modeling
Sachin Mehta, Rik Koncel-Kedziorski, Mohammad Rastegari and Hannaneh Hajishirzi

A New Local Coherence Model for Text Quality Assessment
Mohsen Mesgar and Michael Strube

MTNT: A Testbed for Machine Translation of Noisy Text
Paul Michel and Graham Neubig

Multilingual Clustering of Streaming News
Sebastião Miranda, Arturs Znotins, Shay B. Cohen and Guntis Barzdins

Mapping Instructions to Actions in 3D Environments with Visual Goal Prediction
Dipendra Misra, Andrew Bennett, Valts Blukis, Eyvind Niklasson, Max Shatkhin and Yoav Artzi

Policy Shaping and Generalized Update Equations for Semantic Parsing from Denotations
Dipendra Misra, Ming-Wei Chang, Xiaodong He and Wen-tau Yih

Towards Exploiting Background Knowledge for Building Conversation Systems
Nikita Moghe, Siddhartha Arora, Suman Banerjee and Mitesh M. Khapra

Using Linguistic Features to Improve Generalization in Neural Coreference Resolvers
Nafise Sadat Moosavi and Michael Strube

Analyzing Correlated Evolution of Multiple Features Using Latent Representations
Yugo Murawaki

NORMA: Neighborhood Sensitive Maps for Multilingual Word Embeddings
Ndapa Nakashole

Don’t Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization
Shashi Narayan, Shay B. Cohen and Mirella Lapata

Towards a Better Metric for Evaluating Question Generation Systems
Preksha Nema and Mitesh M. Khapra

Evaluating Theory of Mind in Question Answering
Aida Nematzadeh, Kaylee Burns, Erin Grant and Tom Griffiths

Operation Guided Neural Networks for High Fidelity Data-To-Text Generation
Feng Nie, Jinpeng Wang, Jin-Ge Yao, Chin-Yew Lin and Rong Pan

A Span Selection Model for Semantic Role Labeling
Hiroki Ouchi, Hiroyuki Shindo and Yuji Matsumoto

Learning a Policy for Opportunistic Active Learning
Aishwarya Padmakumar, Peter Stone and Raymond Mooney

emrQA: A Large Corpus for Question Answering on Electronic Medical Records
Anusri Pampari, Preethi Raghavan, Jennifer Liang and Jian Peng

Modeling Game-Based Video-Context Dialogue
Ramakanth Pasunuru and Mohit Bansal

Annotation of Large Clinical Entity Corpus
Pinal Patel, Disha Davey and Vishal Panchal

Multimodal Differential Network for Visual Question Generation
Badri Narayana Patro, Sandeep Kumar, Vinod Kumar Kurmi and Vinay Namboodiri

A Probabilistic Annotation Model for Crowdsourcing Coreference
Silviu Paun, Jon Chamberlain, Udo Kruschwitz, Juntao Yu and Massimo Poesio

Rational Recurrences
Hao Peng, Roy Schwartz, Sam Thomson and Noah A. Smith

Dissecting Contextual Word Embeddings: Architecture and Representation
Matthew Peters, Mark Neumann, Wen-tau Yih and Luke Zettlemoyer

Embedding Multimodal Relational Data for Knowledge Base Completion
Pouya Pezeshkpour, Liyan Chen and Sameer Singh

Card-660: A Reliable Evaluation Framework for Rare Word Representation Models
Mohammad Taher Pilehvar, Dimitri Kartsaklis, Victor Prokhorov and Nigel Collier

Predicting Semantic Relations using Global Graph Properties
Yuval Pinter and Jacob Eisenstein

Contextual Parameter Generation for Universal Neural Machine Translation
Emmanouil Antonios Platanios, Mrinmaya Sachan, Graham Neubig and Tom Mitchell

Collecting Diverse Natural Language Inference Problems for Sentence Representation Evaluation
Adam Poliak, Aparajita Haldar, Rachel Rudinger, J. Edward Hu, Ellie Pavlick, Aaron Steven White and Benjamin Van Durme

Adversarial Propagation and Zero-Shot Cross-Lingual Transfer of Word Vector Specialization
Edoardo Maria Ponti, Ivan Vulić, Goran Glavaš, Nikola Mrkšić and Anna Korhonen

DeClarE: Debunking Fake News and False Claims using Evidence-Aware Deep Learning
Kashyap Popat, Subhabrata Mukherjee, Andrew Yates and Gerhard Weikum

Cross-lingual Lexical Sememe Prediction
Fanchao Qi, Yankai Lin, Maosong Sun, Hao Zhu, Ruobing Xie and Zhiyuan Liu

Hierarchical CVAE for Fine-Grained Hate Speech Classification
Jing Qian, Mai ElSherief, Elizabeth Belding and William Yang Wang

Learning Latent Semantic Annotations for Grounding Natural Language to Structured Data
Guanghui Qin, Jin-Ge Yao, Xuening Wang and Chin-Yew Lin

Learning End-to-End Goal-Oriented Dialog with Multiple Answers
Janarthanan Rajendran, Jatin Ganhotra, Satinder Singh and Lazaros Polymenakos

Characterizing Interactions and Relationships between People
Farzana Rashid and Eduardo Blanco

AD3: Attentive Deep Document Dater
Swayambhu Nath Ray, SHIB SANKAR DASGUPTA and Partha Talukdar

Few-Shot and Zero-Shot Multi-Label Learning for Structured Label Spaces
Anthony Rios and Ramakanth Kavuluru

Lessons from Natural Language Inference in the Clinical Domain
Alexey Romanov and Chaitanya Shivade

Grounding language acquisition by training semantic parsers using captioned videos
Candace Ross, Andrei Barbu, Yevgeni Berzak, Battushig Myanganbayar and Boris Katz

A Discriminative Latent-Variable Model for Bilingual Lexicon Induction
Sebastian Ruder, Ryan Cotterell, Yova Kementchedjhieva and Anders Søgaard

Interpretation of Natural Language Rules in Conversational Machine Reading
Marzieh Saeidi, Max Bartolo, Patrick Lewis, Sameer Singh, Tim Rocktäschel, Mike Sheldon, Guillaume Bouchard and Sebastian Riedel

CARER: Contextualized Affect Representations for Emotion Recognition
Elvis Saravia, Hsien-Chi Toby Liu, Yen-Hao Huang, Jimlin Wu and Yi-Shin Chen

Hierarchical Dirichlet Gaussian Marked Hawkes Process for Narrative Reconstruction in Continuous Time Domain
Yeon Seonwoo, Alice Oh and Sungjoon Park

Deconvolutional time series regression: A technique for modeling temporally diffuse effects
Cory Shain and William Schuler

Learning Named Entity Tagger using Domain-Specific Dictionary
Jingbo Shang, Liyuan Liu, Xiaotao Gu, Xiang Ren, Teng Ren and Jiawei Han

Improved Semantic-Aware Network Embedding with Fine-Grained Word Alignment
Dinghan Shen, Xinyuan Zhang, Ricardo Henao and Lawrence Carin

Learning Context-Aware Convolutional Filters for Text Processing
Dinghan Shen, Martin Renqiang Min, Yitong Li and Lawrence Carin

Sentiment Classification towards Question-Answering with Hierarchical Matching Network
Chenlin Shen, Changlong Sun, Jingjing Wang, Yangyang Kang, Shoushan Li, Xiaozhong Liu, Luo Si, Min Zhang and Guodong Zhou

On Tree-Based Neural Sentence Modeling
Haoyue Shi, Hao Zhou, Jiaze Chen and Lei Li

Valency-Augmented Dependency Parsing
Tianze Shi and Lillian Lee

Using lexical alignment and referring ability to address data sparsity in situated dialog reference resolution
Todd Shore and Gabriel Skantze

Grounding Semantic Roles in Images
Carina Silberer and Manfred Pinkal

An Investigation of the Interactions Between Pre-Trained Word Embeddings, Character Models and POS Tags in Dependency Parsing
Aaron Smith, Miryam de Lhoneux, Sara Stymne and Joakim Nivre

Causal Explanation Analysis on Social Media
Youngseo Son, Nipun Bayas and H. Andrew Schwartz

N-ary Relation Extraction using Graph State LSTM
Linfeng Song, Yue Zhang, Zhiguo Wang and Daniel Gildea

Modeling Online Discourse with Coupled Distributed Topics
Akshay Srivatsan, Zachary Wojtowicz and Taylor Berg-Kirkpatrick

Cross-topic Argument Mining from Heterogeneous Sources
Christian Stab, Tristan Miller, Benjamin Schiller, Pranav Rai and Iryna Gurevych

Getting to “Hearer-old”: Charting Referring Expressions Across Time
Ieva Staliunaite, Hannah Rohde, Bonnie Webber and Annie Louis

Semantics as a Foreign Language
Gabriel Stanovsky and Ido Dagan

Spot the Odd Man Out: Exploring the Associative Power of Lexical Resources
Gabriel Stanovsky and Mark Hopkins

Making “fetch” happen: The influence of social and linguistic context on nonstandard word growth and decline
Ian Stewart and Jacob Eisenstein

Linguistically-Informed Self-Attention for Semantic Role Labeling
Emma Strubell, Patrick Verga, Daniel Andor, David Weiss and Andrew McCallum

Discriminative Deep Dyna-Q: Robust Planning for Dialogue Policy Learning
Shang-Yu Su, Xiujun Li, Jianfeng Gao, Jingjing Liu and Yun-Nung Chen

Nexus Network: Connecting the Preceding and the Following in Dialogue Generation
Hui Su, Xiaoyu Shen, Wenjie Li, Dietrich Klakow and Gerhard Weikum

What Makes Reading Comprehension Questions Easier?
Saku Sugawara, Kentaro Inui, Satoshi Sekine and Akiko Aizawa

Answer-focused and Position-aware Neural Question Generation
Xingwu Sun, Jing Liu, Yajuan Lyu, Yanjun Ma and Shi Wang

Logician and Orator: Learning from the Duality between Language and Knowledge in Open Domain
Mingming Sun, Xu Li and Ping Li

Memory, Show the Way: Memory Based Few Shot Word Representation Learning
Jingyuan Sun, Shaonan Wang and Chengqing Zong

Open Domain Question Answering Using Early Fusion of Knowledge Bases and Text
Haitian Sun, Bhuwan Dhingra, Manzil Zaheer, Kathryn Mazaitis, Ruslan Salakhutdinov and William Cohen

Syntactic Scaffolds for Semantic Structures
Swabha Swayamdipta, Sam Thomson, Kenton Lee, Luke Zettlemoyer, Chris Dyer and Noah A. Smith

Direct Output Connection for a High-Rank Language Model
Sho Takase, Jun Suzuki and Masaaki Nagata

Beyond Error Propagation in Neural Machine Translation: Characteristics of Language Also Matter
Xu Tan, Lijun Wu, Di He, Fei Tian, Tao QIN, Jianhuang Lai and Tie-Yan Liu

You Have NO Answer Here: Modeling Answer Validation for Machine Reading Comprehension
Chuanqi Tan, Furu Wei, Qingyu Zhou, Nan Yang, Weifeng Lv and Ming Zhou

Process Paragraph Comprehension using World Knowledge
Niket Tandon, Bhavana Dalvi, Joel Grus, Wen-tau Yih, Antoine Bosselut and Peter Clark

Subgoal Discovery for Hierarchical Dialogue Policy Learning
Da Tang, Xiujun Li, Jianfeng Gao, Chong Wang, Lihong Li and Tony Jebara

Why Self-Attention? A Targeted Evaluation of Neural Machine Translation Architectures
Gongbo Tang, Mathias Müller, Annette Rios Gonzales and Rico Sennrich

Attentive Gated Lexicon Reader with Contrastive Contextual Co-Attention for Sentiment Classification
Yi Tay, Anh Tuan Luu, Siu Cheung Hui and Jian Su

Co-Stack Residual Affinity Networks with Multi-level Attention Refinement for Matching Text Sequences
Yi Tay, Anh Tuan Luu and Siu Cheung Hui

Compare, Compress and Propagate: Enhancing Neural Architectures with Alignment Factorization for Natural Language Inference
Yi Tay, Anh Tuan Luu and Siu Cheung Hui

Multi-Granular Sequence Encoding via Dilated Compositional Units for Reading Comprehension
Yi Tay, Anh Tuan Luu and Siu Cheung Hui

A Computational Exploration of Exaggeration
Enrica Troiano, Carlo Strapparava, Gözde Özbal and Serra Sinem Tekiroglu

Cross-Pair Text Representations for Answer Sentence Selection
Kateryna Tymoshenko and Alessandro Moschitti

Bootstrapping Transliteration with Guided Discovery for Low-Resource Languages
Shyam Upadhyay, Jordan Kodner and Dan Roth

The Importance of Joint Multilingual Supervision for Cross-lingual Entity Linking
Shyam Upadhyay, Nitish Gupta and Dan Roth

What do character-level models learn about morphology? The case of dependency parsing
Clara Vania, Andreas Grivas and Adam Lopez

RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information
Shikhar Vashishth, Rishabh Joshi, Sai Suman Prayaga, Chiranjib Bhattacharyya and Partha Talukdar

A Hybrid Approach to Automatic Corpus Generation for Chinese Spelling Check
Dingmin Wang, Yan Song, Jing Li, Jialong Han and Haisong Zhang

A Teacher-Student Framework for Maintainable Dialog Manager
Weikang Wang, Jiajun Zhang, Han Zhang, Mei-Yuh Hwang, Chengqing Zong and Zhifei Li

Associative Multichannel Autoencoder for Multimodal Word Representation
Shaonan Wang, Jiajun Zhang and Chengqing Zong

Cross-lingual Knowledge Graph Alignment via Graph Convolutional Networks
Zhichun WANG, Qingsong Lv, Xiaohan Lan and Yu Zhang

Deep Probabilistic Logic: A Unifying Framework for Indirect Supervision
Hai Wang and Hoifung Poon

It’s going to be okay: Measuring Access to Support in Online Communities
Zijian Wang and David Jurgens

LRMM: Learning to Recommend with Missing Modality
Cheng Wang, Mathias Niepert and Hui Li

Label-Free Distant Supervision for Relation Extraction via Knowledge Graph Embedding
Guanying Wang, Wen Zhang, Ruoxu Wang, Yalin Zhou and Huajun Chen

Learning to Encode Text as Human-Readable Summaries using Generative Adversarial Networks
Yaushian Wang and Hung-Yi Lee

Neural Related Work Summarization with a Joint Context-driven Attention Mechanism
Yongzhen Wang, Xiaozhong Liu and Zheng Gao

Neural Segmental Hypergraphs for Overlapping Mention Recognition
Bailin Wang and Wei Lu

Personalized Microblog Sentiment Classification via Adversarial Cross-lingual learning
Weichao Wang, Shi Feng, Wei Gao, Daling Wang and Yifei Zhang

Picking Apart Story Salads
Su Wang, Eric Holgate, Greg Durrett and Katrin Erk

Semi-Autoregressive Neural Machine Translation
Chunqi Wang, Ji Zhang and Haiqing Chen

Synthetic Data Made to Order: The Case of Parsing
Dingquan Wang and Jason Eisner

Hierarchical Quantized Representations for Script Generation
Noah Weber, Leena Shekhar, Niranjan Balasubramanian and Nate Chambers

AirDialogue: An Environment for Goal-Oriented Dialogue Research
Wei Wei, Quoc Le, Andrew Dai and Jia Li

Cross-Lingual Cross-Platform Rumor Verification Pivoting on Multimedia Content
Weiming Wen, Songwen Su and Zhou Yu

Incorporating Background Knowledge into Video Description Generation
Spencer Whitehead, Heng Ji, Mohit Bansal, Shih-Fu Chang and Clare Voss

Learning Neural Templates for Text Generation
Sam Wiseman, Alexander Rush and Stuart Shieber

Challenges of Using Text Classifiers for Causal Inference
Zach Wood-Doughty, Ilya Shpitser and Mark Dredze

A Study of Reinforcement Learning for Neural Machine Translation
Lijun Wu, Fei Tian, Tao Qin, Jianhuang Lai and Tie-Yan Liu

Hard Non-Monotonic Attention for Character-Level Transduction
Shijie Wu, Pamela Shapiro and Ryan Cotterell

Phrase-level Self-Attention Networks for Universal Sentence Encoding
Wei Wu, Houfeng WANG, Tianyu Liu and Shuming Ma

Word Mover’s Embedding: From Word2Vec to Document Embedding
Lingfei Wu, Ian En-Hsu Yen, Kun Xu, Fangli Xu, Avinash Balakrishnan, Pin-Yu Chen, Pradeep Ravikumar and Michael J. Witbrock

Zero-shot User Intent Detection via Capsule Neural Networks
Congying Xia, Chenwei Zhang, Xiaohui Yan, Yi Chang and Philip Yu

MCapsNet: Capsule Network for Text with Multi-Task Learning
Liqiang Xiao, Honglun Zhang, Wenqing Chen, Yongkun Wang and Yaohui Jin

Large-scale Cloze Test Dataset Created by Teachers
Qizhe Xie, Guokun Lai, Zihang Dai and Eduard Hovy

Neural Cross-lingual Named Entity Recognition with Minimal Resources
Jiateng Xie, Zhilin Yang, Graham Neubig, Noah A. Smith and Jaime Carbonell

Learning Better Internal Structure of Words for Sequence Labeling
Yingwei Xin, Vibhuti Mahajan, Ethan Hart and Jean David Ruvini

One-Shot Relational Learning for Knowledge Graphs
Wenhan Xiong, Mo Yu, Shiyu Chang, Xiaoxiao Guo and William Yang Wang

A Skeleton-Based Model for Promoting Coherence Among Sentences in Narrative Story Generation
Jingjing Xu, Xu SUN, Xuancheng Ren, Qi Zeng, Yi Zhang, Pengcheng Yang and Xiaoyan Cai

Better Conversations by Modeling, Filtering, and Optimizing for Coherence and Diversity
Xinnuo Xu, Ondřej Dušek, Ioannis Konstas and Verena Rieser

Diversity-Promoting GAN: A Cross-Entropy Based Generative Adversarial Network for Diversified Text Generation
Jingjing Xu, Xu SUN, Xuancheng Ren, Junyang Lin, Bingzheng Wei and Wei Li

Spherical Latent Spaces for Stable Variational Autoencoders
Jiacheng Xu and Greg Durrett

Unsupervised Cross-lingual Transfer of Word Embedding Spaces
Ruochen Xu, Naoki Otani, Yuexin Wu and Yiming Yang

RecipeQA: A Challenge Dataset for Multimodal Comprehension of Cooking Recipes
Semih Yagcioglu, Aykut Erdem, Erkut Erdem and Nazli Ikizler-Cinbis

An Interpretable Neural Network with Topical Information for Relevant Emotion Ranking
Yang Yang, Deyu ZHOU and Yulan He

Commonsense Action Explanation in Human-Agent Communication
Shaohua Yang, Qiaozi Gao, sari sadiya and Joyce Chai

HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering
Zhilin Yang, Peng Qi, Saizheng Zhang, Yoshua Bengio, William Cohen, Ruslan Salakhutdinov and Christopher D. Manning

Investigating Capsule Networks with Dynamic Routing for Text Classification
Min Yang, Wei Zhao, Jianbo Ye, Zeyang Lei, Zhou Zhao and Soufei Zhang

Modeling Localness for Self-Attention Networks
Baosong Yang, Zhaopeng Tu, Derek F. Wong, Fandong Meng, Lidia S. Chao and Tong Zhang

Stylistic Chinese Poetry Generation via Unsupervised Style Disentanglement
Cheng Yang, Maosong Sun, Xiaoyuan Yi and Wenhao Li

CaLcs: Continuously Approximating Longest Common Subsequence for Sequence Level Optimization
Semih Yavuz, Chung-Cheng Chiu, Patrick Nguyen and Yonghui Wu

What It Takes to Achieve 100% Condition Accuracy on WikiSQL
Semih Yavuz, Izzeddin Gur, Yu Su and Xifeng Yan

Semi-Supervised Learning for Neural Keyphrase Generation
Hai Ye and Lu Wang

Automatic Poetry Generation with Mutual Reinforcement Learning
Xiaoyuan Yi, Maosong Sun, Ruoyu Li and Wenhao Li

TwoWingOS: Claim Entailment with Precise Evidence via a Two-Wing Optimization Strategy
Wenpeng Yin and Dan Roth

Pointwise HSIC: A Linear-Time Kernelized Co-occurrence Norm for Sparse Linguistic Expressions
Sho Yokoi, Sosuke Kobayashi, Kenji Fukumizu, Jun Suzuki and Kentaro Inui

Spider: A Large-Scale Complex Human-Labeled SQL Corpus for Semantic Parsing and Text-to-SQL Generation
Tao Yu, Rui Zhang, Kai Yang, Michihiro Yasunaga, Dongxu Wang, Zifan Li, James Ma, Irene Li, Qingning Yao, Shanelle Roman, Zilin Zhang and Dragomir Radev

SyntaxSQLNet: Syntax Tree Networks for Complex and Cross Domain Text-to-SQL Task
Tao Yu, Michihiro Yasunaga, Kai Yang, Rui Zhang, Dongxu Wang, Zifan Li and Dragomir Radev

Residualized Factor Adaptation for Community Social Media Prediction Tasks
Mohammadzaman Zamani, H. Andrew Schwartz, Veronica Lynn, Salvatore Giorgi and Niranjan Balasubramanian

Translating Navigation Instructions in Natural Language to a High-Level Plan for Behavioral Robot Navigation
Xiaoxue Zang, Ashwini Pokle, Marynel Vázquez, Kevin Chen, Juan Carlos Niebles, Alvaro Soto and Silvio Savarese

SWAG: A Large-Scale Adversarial Dataset for Grounded Commonsense Inference
Rowan Zellers, Yonatan Bisk, Roy Schwartz and Yejin Choi

Multi-Domain Neural Machine Translation with Word-Level Domain Context Discrimination
Jiali Zeng, Jinsong Su, Huating Wen, Yang Liu, Yongjing Yin and Jianqiang Zhao

Topic Memory Networks for Short Text Classification
Jichuan Zeng, Jing Li, Yan Song, Cuiyun Gao, Michael R. Lyu and Irwin King

A Fast, Compact, Accurate Model for Language Identification of Codemixed Text
Yuan Zhang, Jason Riesa, Daniel Gillick, Anton Bakalov, Jason Baldridge and David Weiss

Cross-lingual Decompositional Semantic Parsing
Sheng Zhang, Xutai Ma, Rachel Rudinger, Kevin Duh and Benjamin Van Durme

Cube Pruning for Neural Machine Translation
Wen Zhang, Lei Shen, Yang Feng, Liang Huang and Qun Liu

Graph Convolution over Pruned Dependency Trees Improves Relation Extraction
Yuhao Zhang, Peng Qi and Christopher D. Manning

Improving the Transformer Translation Model with Document-Level Context
Jiacheng Zhang, Huanbo Luan, Maosong Sun, Feifei Zhai, Jingfang Xu, Min Zhang and Yang Liu

Knowledge Graph Embedding with Hierarchical Relation Structure
Zhao Zhang, Fuzhen Zhuang, Meng Qu, Fen Lin and Qing He

Learning Universal Sentence Representations with Mean-Max Attention Autoencoder
Minghua Zhang, Weikang Li, Wei Li and Yunfang Wu

Limbic: Author-Based Sentiment Aspect Modeling Regularized with Word Embeddings and Discourse Relations
Zhe Zhang and Munindar Singh

Multi-Task Label Embedding for Text Classification
Honglun Zhang, Liqiang Xiao, Wenqing Chen, Yongkun Wang and Yaohui Jin

Neural Ranking Models for Temporal Dependency Structure Parsing
Yuchen Zhang and Nianwen Xue

Regular Expression Guided Entity Mention Mining from Noisy Web Data
Shanshan Zhang, Lihong He, Eduard Dragut and Slobodan Vucetic

Simplifying Neural Machine Translation with Addition-Subtraction Twin-Gated Recurrent Networks
Biao Zhang, Deyi Xiong, jinsong su and Qian Lin

Syntax Encoding with Application in Authorship Attribution
Richong Zhang, Zhiyuan Hu, Hongyu GUO and Yongyi Mao

Addressing Troublesome Words in Neural Machine Translation
Yang Zhao, Jiajun Zhang, Zhongjun He, Chengqing Zong and Hua Wu

Integrating Transformer and Paraphrase Rules for Sentence Simplification
Sanqiang Zhao, Rui Meng, Daqing He, Andi Saptono and Bambang Parmanto

Paragraph-level Neural Question Generation with Maxout Pointer and Gated Self-attention Networks
Yao Zhao, Xiaochuan Ni, Yuanyuan Ding and Qifa Ke

Multi-Reference Training with Pseudo-Reference Generation for Text Generation
Renjie Zheng, Mingbo Ma and Liang Huang

Legal Judgment Prediction via Topological Learning
Haoxi Zhong, Guo Zhipeng, Cunchao Tu, Chaojun Xiao, Zhiyuan Liu and Maosong Sun

SemRegex: A Semantics-Based Approach for Generating Regular Expressions from Natural Language Specifications
Zexuan Zhong, Jiaqi Guo, Wei Yang, Jian Peng, Tao Xie, Jian-Guang Lou, Ting Liu and Dongmei Zhang

A Visual Attention Grounding Neural Model for Multimodal Machine Translation
Mingyang Zhou, Runxiang Cheng, Yong Jae Lee and Zhou Yu

Zero-Shot Open Entity Typing as Type-Compatible Grounding
Ben Zhou, Daniel Khashabi, Chen-Tse Tsai and Dan Roth

GraphBTM: Graph Enhanced Autoencoded Variational Inference forBiterm Topic Model
Qile Zhu, Zheng Feng and Xiaolin Li

MSMO: Multimodal Summarization with Multimodal Output
Junnan Zhu, Haoran Li, Tianshang Liu, Yu Zhou, Jiajun Zhang and Chengqing Zong

Deep Pivot-Based Modeling for Cross-language Cross-domain Transfer with Minimal Guidance
Yftah Ziser and Roi Reichart


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Zhiyuan Liu,清华大学计算机系NLP实验室副教授。

【导读】计算语言学协会(the Association for Computational Linguistics, ACL)年度会议作为顶级的国际会议,在计算语言学和自然语言处理领域一直备受关注。其接收的论文覆盖了语义分析、文本挖掘、信息抽取、问答系统、机器翻译、情感分析和意见挖掘等众多自然语言处理领域的研究方向。今年,第58届计算语言学协会(the Association for Computational Linguistics, ACL)年度会议将于2020年7月5日至10日在美国华盛顿西雅图举行。受COVID-19疫情影响,ACL 2020将全部改为线上举行。本次ACL大会共提交了3429篇论文,共有571篇长论文、以及208篇短论文入选。不久之前,专知小编为大家整理了大会的图神经网络(GNN)相关论文,这期小编继续为大家奉上ACL 2020图神经网络(GNN)相关论文-Part 2供参考——多文档摘要、多粒度机器阅读理解、帖子争议检测、GAE。


1. Leveraging Graph to Improve Abstractive Multi-Document Summarization

作者:Wei Li, Xinyan Xiao, Jiachen Liu, Hua Wu, Haifeng Wang, Junping Du

摘要:捕捉文本单元之间关系图对于从多个文档中检测显著信息和生成整体连贯的摘要有很大好处。本文提出了一种神经抽取多文档摘要(MDS)模型,该模型可以利用文档的常见图表示,如相似度图和话语图(discourse graph),来更有效地处理多个输入文档并生成摘要。我们的模型使用图对文档进行编码,以捕获跨文档关系,这对于总结长文档至关重要。我们的模型还可以利用图来指导摘要的生成过程,这有利于生成连贯而简洁的摘要。此外,预训练的语言模型可以很容易地与我们的模型相结合,进一步提高了摘要的性能。在WikiSum和MultiNews数据集上的实验结果表明,所提出的体系结构在几个强大的基线上带来了实质性的改进。

网址: https://arxiv.org/abs/2005.10043

2. Document Modeling with Graph Attention Networks for Multi-grained Machine Reading Comprehension

作者:Bo Zheng, Haoyang Wen, Yaobo Liang, Nan Duan, Wanxiang Che, Daxin Jiang, Ming Zhou, Ting Liu


网址: https://arxiv.org/abs/2005.05806



3. Integrating Semantic and Structural Information with Graph Convolutional Network for Controversy Detection

作者:Lei Zhong, Juan Cao, Qiang Sheng, Junbo Guo, Ziang Wang


网址: https://arxiv.org/abs/2005.07886

4. Knowledge Graph-Augmented Abstractive Summarization with Semantic-Driven Cloze Reward

作者:Luyang Huang, Lingfei Wu, Lu Wang

摘要:用于抽取摘要的序列到序列(sequence-to-sequence )模型已经被广泛研究,但是生成的摘要通常受到捏造的内容的影响,并且经常被发现是near-extractive的。我们认为,为了解决这些问题,摘要生成器应通过输入获取语义解释,例如通过结构化表示,以允许生成更多信息的摘要。在本文中,我们提出了一种新的抽取摘要框架--Asgard,它具有图形增强和语义驱动的特点。我们建议使用双重编码器-序列文档编码器和图形结构编码器-来保持实体的全局上下文和局部特征,并且相互补充。我们进一步设计了基于多项选择完形填空测试的奖励,以驱动模型更好地捕捉实体交互。结果表明,我们的模型在纽约时报和CNN/每日邮报的数据集上都比没有知识图作为输入的变体产生了更高的Rouge分数。与从大型预训练的语言模型中优化的系统相比,我们也获得了更好或可比的性能。评委进一步认为我们的模型输出信息更丰富,包含的不实错误更少。

网址: https://arxiv.org/abs/2005.01159

5. A Graph Auto-encoder Model of Derivational Morphology

作者:Valentin Hofmann, Hinrich Schutze, Janet B. Pierrehumberty

摘要:关于派生词的形态良好性(morphological well-formedness, MWF)建模工作在语言学中被认为是一个复杂而困难的问题,并且这方面的研究工作较少。我们提出了一个图自编码器学习嵌入以捕捉派生词中词缀和词干的兼容性信息。自编码器通过将句法和语义信息与来自心理词典的关联信息相结合,很好地模拟了英语中的MWF。

网址: http://www.phon.ox.ac.uk/jpierrehumbert/publications/Hofmann_etal_DGA_ACL2020.pdf

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