EMNLP 2018

1,049 papers

Extracting Entities and Relations with Joint Minimum Risk Training

Changzhi Sun, Yuanbin Wu, Man Lan, Shiliang Sun, WenTing Wang

Label-Free Distant Supervision for Relation Extraction via Knowledge Graph Embedding

Guanying Wang, Wen Zhang, Ruoxu Wang, Yalin Zhou, Xi Chen

Hierarchical Relation Extraction with Coarse-to-Fine Grained Attention

Xu Han, Pengfei Yu, Zhiyuan Liu, Maosong Sun, Peng Li

N-ary Relation Extraction using Graph-State LSTM

Linfeng Song, Yue Zhang, Zhiguo Wang, Daniel Gildea

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

Jinhua Du, Jingguang Han, Andy Way, Dadong Wan

Graph Convolution over Pruned Dependency Trees Improves Relation Extraction

Yuhao Zhang, Peng Qi, Christopher D. Manning

Neural Relation Extraction via Inner-Sentence Noise Reduction and Transfer Learning

Tianyi Liu, Xinsong Zhang, Wanhao Zhou, Weijia Jia

Knowledge Base Question Answering via Encoding of Complex Query Graphs

Kangqi Luo, Fengli Lin, Xusheng Luo, Kenny Zhu

QuAC: Question Answering in Context

Eunsol Choi, He He, Mohit Iyyer, Mark Yatskar, Wen-tau Yih

Cross-Pair Text Representations for Answer Sentence Selection

Kateryna Tymoshenko, Alessandro Moschitti

Neural Compositional Denotational Semantics for Question Answering

Nitish Gupta, Mike Lewis

Multi-Granular Sequence Encoding via Dilated Compositional Units for Reading Comprehension

Yi Tay, Anh Tuan Luu, Siu Cheung Hui

MemoReader: Large-Scale Reading Comprehension through Neural Memory Controller

Seohyun Back, Seunghak Yu, Sathish Reddy Indurthi, Jihie Kim, Jaegul Choo

Logician and Orator: Learning from the Duality between Language and Knowledge in Open Domain

Mingming Sun, Xu Li, Ping Li

A Multi-answer Multi-task Framework for Real-world Machine Reading Comprehension

Jiahua Liu, Wan Wei, Maosong Sun, Hao Chen, Yantao Du

A State-transition Framework to Answer Complex Questions over Knowledge Base

Sen Hu, Lei Zou, Xinbo Zhang

Interpretation of Natural Language Rules in Conversational Machine Reading

Marzieh Saeidi, Max Bartolo, Patrick Lewis, Sameer Singh, Tim Rocktäschel

Attention-Guided Answer Distillation for Machine Reading Comprehension

Minghao Hu, Yuxing Peng, Furu Wei, Zhen Huang, Dongsheng Li

Zero-Shot Open Entity Typing as Type-Compatible Grounding

Ben Zhou, Daniel Khashabi, Chen-Tse Tsai, Dan Roth

Learning Named Entity Tagger using Domain-Specific Dictionary

Jingbo Shang, Liyuan Liu, Xiaotao Gu, Xiang Ren, Teng Ren

Visual Supervision in Bootstrapped Information Extraction

Matthew Berger, Ajay Nagesh, Joshua Levine, Mihai Surdeanu, Helen Zhang

Annotation of a Large Clinical Entity Corpus

Pinal Patel, Disha Davey, Vishal Panchal, Parth Pathak

Entity Linking within a Social Media Platform: A Case Study on Yelp

Hongliang Dai, Yangqiu Song, Liwei Qiu, Rijia Liu

Neural Adaptation Layers for Cross-domain Named Entity Recognition

Bill Yuchen Lin, Wei Lu

HyTE: Hyperplane-based Temporally aware Knowledge Graph Embedding

Shib Sankar Dasgupta, Swayambhu Nath Ray, Partha Talukdar

Regular Expression Guided Entity Mention Mining from Noisy Web Data

Shanshan Zhang, Lihong He, Slobodan Vucetic, Eduard Dragut

One-Shot Relational Learning for Knowledge Graphs

Wenhan Xiong, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang

Differentiating Concepts and Instances for Knowledge Graph Embedding

Xin Lv, Lei Hou, Juanzi Li, Zhiyuan Liu

Mapping Text to Knowledge Graph Entities using Multi-Sense LSTMs

Dimitri Kartsaklis, Mohammad Taher Pilehvar, Nigel Collier

A Knowledge Hunting Framework for Common Sense Reasoning

Ali Emami, Noelia De La Cruz, Adam Trischler, Kaheer Suleman, Jackie Chi Kit CHEUNG

A Deterministic Algorithm for Bridging Anaphora Resolution

Yufang Hou

A Probabilistic Annotation Model for Crowdsourcing Coreference

Silviu Paun, Jon Chamberlain, Udo Kruschwitz, Juntao Yu, Massimo Poesio

Semi-Supervised Sequence Modeling with Cross-View Training

Kevin Clark, Minh-Thang Luong, Christopher D. Manning, Quoc Le

Deriving Machine Attention from Human Rationales

Yujia Bao, Shiyu Chang, Mo Yu, Regina Barzilay

Deep Probabilistic Logic: A Unifying Framework for Indirect Supervision

Hai Wang, Hoifung Poon

Gromov-Wasserstein Alignment of Word Embedding Spaces

David Alvarez-Melis, Tommi Jaakkola

AD3: Attentive Deep Document Dater

Swayambhu Nath Ray, Shib Sankar Dasgupta, Partha Talukdar

Learning Neural Representation for CLIR with Adversarial Framework

Bo Li, Ping Cheng

Deep Relevance Ranking Using Enhanced Document-Query Interactions

Ryan Mcdonald, George Brokos, Ion Androutsopoulos

Learning Context-Sensitive Convolutional Filters for Text Processing

Dinghan Shen, Martin Renqiang Min, Yitong Li, Lawrence Carin

Improved Semantic-Aware Network Embedding with Fine-Grained Word Alignment

Dinghan Shen, Xinyuan Zhang, Ricardo Henao, Lawrence Carin

Content Selection in Deep Learning Models of Summarization

Chris Kedzie, Kathleen McKeown, Hal Daume III

Improving Abstraction in Text Summarization

Wojciech Kryscinski, Romain Paulus, Caiming Xiong, Richard Socher

Don’t Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization

Shashi Narayan, Shay B. Cohen, Mirella Lapata

Improving Neural Abstractive Document Summarization with Explicit Information Selection Modeling

Wei Li, Xinyan Xiao, Yajuan Lyu, Yuanzhuo Wang

Yongzhen Wang, Xiaozhong Liu, Zheng Gao

Pointwise HSIC: A Linear-Time Kernelized Co-occurrence Norm for Sparse Linguistic Expressions

Sho Yokoi, Sosuke Kobayashi, Kenji Fukumizu, Jun Suzuki, Kentaro Inui

Learning Scalar Adjective Intensity from Paraphrases

Anne Cocos, Skyler Wharton, Ellie Pavlick, Marianna Apidianaki, Chris Callison-Burch

Predicting Semantic Relations using Global Graph Properties

Yuval Pinter, Jacob Eisenstein

Coming to Your Senses: on Controls and Evaluation Sets in Polysemy Research

Haim Dubossarsky, Eitan Grossman, Daphna Weinshall

Heuristically Informed Unsupervised Idiom Usage Recognition

Changsheng Liu, Rebecca Hwa

Better Transition-Based AMR Parsing with a Refined Search Space

Zhijiang Guo, Wei Lu

What It Takes to Achieve 100% Condition Accuracy on WikiSQL

Semih Yavuz, Izzeddin Gur, Yu Su, Xifeng Yan

DeepCx: A transition-based approach for shallow semantic parsing with complex constructional triggers

Jesse Dunietz, Jaime Carbonell, Lori Levin

Learning to Learn Semantic Parsers from Natural Language Supervision

Igor Labutov, Bishan Yang, Tom Mitchell

Cross-lingual Decompositional Semantic Parsing

Sheng Zhang, Xutai Ma, Rachel Rudinger, Kevin Duh, Benjamin Van Durme

SyntaxSQLNet: Syntax Tree Networks for Complex and Cross-Domain Text-to-SQL Task

Tao Yu, Michihiro Yasunaga, Kai Yang, Rui Zhang, Dongxu Wang

Mapping Language to Code in Programmatic Context

Srinivasan Iyer, Ioannis Konstas, Alvin Cheung, Luke Zettlemoyer

A Span Selection Model for Semantic Role Labeling

Hiroki Ouchi, Hiroyuki Shindo, Yuji Matsumoto

Decoupling Structure and Lexicon for Zero-Shot Semantic Parsing

Jonathan Herzig, Jonathan Berant

SemRegex: A Semantics-Based Approach for Generating Regular Expressions from Natural Language Specifications

Zexuan Zhong, Jiaqi Guo, Wei Yang, Jian Peng, Tao Xie

Question Generation from SQL Queries Improves Neural Semantic Parsing

Daya Guo, Yibo Sun, Duyu Tang, Nan Duan, Jian Yin

Lessons from Natural Language Inference in the Clinical Domain

Alexey Romanov, Chaitanya Shivade

Convolutional Interaction Network for Natural Language Inference

Jingjing Gong, Xipeng Qiu, Xinchi Chen, Dong Liang, Xuanjing Huang

Compare, Compress and Propagate: Enhancing Neural Architectures with Alignment Factorization for Natural Language Inference

Yi Tay, Anh Tuan Luu, Siu Cheung Hui

Structured Alignment Networks for Matching Sentences

Yang Liu, Matt Gardner, Mirella Lapata

Neural Multitask Learning for Simile Recognition

Lizhen Liu, Xiao Hu, Wei Song, Ruiji Fu, Ting Liu

Spot the Odd Man Out: Exploring the Associative Power of Lexical Resources

Gabriel Stanovsky, Mark Hopkins

Auto-Encoding Dictionary Definitions into Consistent Word Embeddings

Tom Bosc, Pascal Vincent

Preposition Sense Disambiguation and Representation

Hongyu Gong, Jiaqi Mu, Suma Bhat, Pramod Viswanath

Dissecting Contextual Word Embeddings: Architecture and Representation

Matthew E. Peters, Mark Neumann, Luke Zettlemoyer, Wen-tau Yih

Transfer and Multi-Task Learning for Noun–Noun Compound Interpretation

Murhaf Fares, Stephan Oepen, Erik Velldal

A Probabilistic Model for Joint Learning of Word Embeddings from Texts and Images

Melissa Ailem, Bowen Zhang, Aurélien Bellet, Pascal Denis, Fei Sha

Dynamic Meta-Embeddings for Improved Sentence Representations

Douwe Kiela, Changhan Wang, Kyunghyun Cho

Picking Apart Story Salads

Su Wang, Eric Holgate, Greg Durrett, Katrin Erk

Disambiguated skip-gram model

Karol Grzegorczyk, Marcin Kurdziel

Memory, Show the Way: Memory Based Few Shot Word Representation Learning

Jingyuan Sun, Shaonan Wang, Chengqing Zong

Streaming word similarity mining on the cheap

Olof Görnerup, Daniel Gillblad

Weeding out Conventionalized Metaphors: A Corpus of Novel Metaphor Annotations

Erik-Lân Do Dinh, Hannah Wieland, Iryna Gurevych

Leveraging Gloss Knowledge in Neural Word Sense Disambiguation by Hierarchical Co-Attention

Fuli Luo, Tianyu Liu, Zexue He, Qiaolin Xia, Zhifang Sui

Card-660: Cambridge Rare Word Dataset - a Reliable Benchmark for Infrequent Word Representation Models

Mohammad Taher Pilehvar, Dimitri Kartsaklis, Victor Prokhorov, Nigel Collier

Localizing Moments in Video with Temporal Language

Lisa Anne Hendricks, Oliver Wang, Eli Shechtman, Josef Sivic, Trevor Darrell

TVQA: Localized, Compositional Video Question Answering

Jie Lei, Licheng Yu, Mohit Bansal, Tamara Berg

RecipeQA: A Challenge Dataset for Multimodal Comprehension of Cooking Recipes

Semih Yagcioglu, Aykut Erdem, Erkut Erdem, Nazli Ikizler-Cinbis

Learning a Policy for Opportunistic Active Learning

Aishwarya Padmakumar, Peter Stone, Raymond Mooney

Tell-and-Answer: Towards Explainable Visual Question Answering using Attributes and Captions

Qing Li, Jianlong Fu, Dongfei Yu, Tao Mei, Jiebo Luo

Synthetic Data Made to Order: The Case of Parsing

Dingquan Wang, Jason Eisner

Constituent Parsing as Sequence Labeling

Carlos Gómez-Rodríguez, David Vilares

Dynamic Oracles for Top-Down and In-Order Shift-Reduce Constituent Parsing

Daniel Fernández-González, Carlos Gómez-Rodríguez

Unsupervised Learning of Syntactic Structure with Invertible Neural Projections

Junxian He, Graham Neubig, Taylor Berg-Kirkpatrick

Valency-Augmented Dependency Parsing

Tianze Shi, Lillian Lee

Collective Event Detection via a Hierarchical and Bias Tagging Networks with Gated Multi-level Attention Mechanisms

Yubo Chen, Hang Yang, Kang Liu, Jun Zhao, Yantao Jia

RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information

Shikhar Vashishth, Rishabh Joshi, Sai Suman Prayaga, Chiranjib Bhattacharyya, Partha Talukdar

Jointly Multiple Events Extraction via Attention-based Graph Information Aggregation

Xiao Liu, Zhunchen Luo, Heyan Huang

Temporal Information Extraction by Predicting Relative Time-lines

Artuur Leeuwenberg, Marie-Francine Moens

Automatic Event Salience Identification

Zhengzhong Liu, Chenyan Xiong, Teruko Mitamura, Eduard Hovy

Efficient Contextualized Representation: Language Model Pruning for Sequence Labeling

Liyuan Liu, Xiang Ren, Jingbo Shang, Xiaotao Gu, Jian Peng

Rational Recurrences

Hao Peng, Roy Schwartz, Sam Thomson, Noah A. Smith

Targeted Syntactic Evaluation of Language Models

Rebecca Marvin, Tal Linzen

Large Margin Neural Language Model

Jiaji Huang, Yi Li, Wei Ping, Liang Huang