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:
论文地址:
http://emnlp2018.org/program/accepted/long-papers
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
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Hierarchical CVAE for Fine-Grained Hate Speech Classification
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Lessons from Natural Language Inference in the Clinical Domain
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Interpretation of Natural Language Rules in Conversational Machine Reading
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Hierarchical Dirichlet Gaussian Marked Hawkes Process for Narrative Reconstruction in Continuous Time Domain
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Deconvolutional time series regression: A technique for modeling temporally diffuse effects
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Causal Explanation Analysis on Social Media
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Subgoal Discovery for Hierarchical Dialogue Policy Learning
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Cross-lingual Knowledge Graph Alignment via Graph Convolutional Networks
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Deep Probabilistic Logic: A Unifying Framework for Indirect Supervision
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Residualized Factor Adaptation for Community Social Media Prediction Tasks
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Cube Pruning for Neural Machine Translation
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Limbic: Author-Based Sentiment Aspect Modeling Regularized with Word Embeddings and Discourse Relations
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Multi-Task Label Embedding for Text Classification
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Neural Ranking Models for Temporal Dependency Structure Parsing
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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
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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
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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
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MSMO: Multimodal Summarization with Multimodal Output
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Deep Pivot-Based Modeling for Cross-language Cross-domain Transfer with Minimal Guidance
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