EMNLP 2018

1,049 papers

Phrase-Based & Neural Unsupervised Machine Translation

Guillaume Lample, Myle Ott, Alexis CONNEAU, Ludovic DENOYER, Marc’Aurelio Ranzato

Linguistically-Informed Self-Attention for Semantic Role Labeling

Emma Strubell, Patrick Verga, Daniel Andor, David Weiss, Andrew McCallum

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

How Much Reading Does Reading Comprehension Require? A Critical Investigation of Popular Benchmarks

Divyansh Kaushik, Zachary C. Lipton

Data Augmentation via Dependency Tree Morphing for Low-Resource Languages

Gözde Gül Şahin, Mark Steedman

Grammar Induction with Neural Language Models: An Unusual Replication

Phu Mon Htut, Kyunghyun Cho, Samuel Bowman

Parameter sharing between dependency parsers for related languages

Miryam de Lhoneux, Johannes Bjerva, Isabelle Augenstein, Anders Søgaard

Modeling Input Uncertainty in Neural Network Dependency Parsing

Rob van der Goot, Gertjan van Noord

Wronging a Right: Generating Better Errors to Improve Grammatical Error Detection

Sudhanshu Kasewa, Pontus Stenetorp, Sebastian Riedel

Mapping natural language commands to web elements

Panupong Pasupat, Tian-Shun Jiang, Evan Liu, Kelvin Guu, Percy Liang

Identifying Domain Adjacent Instances for Semantic Parsers

James Ferguson, Janara Christensen, Edward Li, Edgar Gonzàlez

Towards Semi-Supervised Learning for Deep Semantic Role Labeling

Sanket Vaibhav Mehta, Jay Yoon Lee, Jaime Carbonell

Interpreting Recurrent and Attention-Based Neural Models: a Case Study on Natural Language Inference

Reza Ghaeini, Xiaoli Fern, Prasad Tadepalli

The BQ Corpus: A Large-scale Domain-specific Chinese Corpus For Sentence Semantic Equivalence Identification

Jing Chen, Qingcai Chen, Xin Liu, Haijun Yang, Daohe Lu

Bridging Knowledge Gaps in Neural Entailment via Symbolic Models

Dongyeop Kang, Tushar Khot, Ashish Sabharwal, Peter Clark

When data permutations are pathological: the case of neural natural language inference

Natalie Schluter, Daniel Varab

Recovering Missing Characters in Old Hawaiian Writing

Brendan Shillingford, Oiwi Parker Jones

LemmaTag: Jointly Tagging and Lemmatizing for Morphologically Rich Languages with BRNNs

Daniel Kondratyuk, Tomáš Gavenčiak, Milan Straka, Jan Hajic

Unsupervised Neural Word Segmentation for Chinese via Segmental Language Modeling

Zhiqing Sun, Zhi-Hong Deng

Sanskrit Sandhi Splitting using seq2(seq)2

Rahul Aralikatte, Neelamadhav Gantayat, Naveen Panwar, Anush Sankaran, Senthil Mani

State-of-the-art Chinese Word Segmentation with Bi-LSTMs

Ji Ma, Kuzman Ganchev, David Weiss

Classifying Referential and Non-referential It Using Gaze

Victoria Yaneva, Le An Ha, Richard Evans, Ruslan Mitkov

Conditional Word Embedding and Hypothesis Testing via Bayes-by-Backprop

Rujun Han, Michael Gill, Arthur Spirling, Kyunghyun Cho

What can we learn from Semantic Tagging?

Mostafa Abdou, Artur Kulmizev, Vinit Ravishankar, Lasha Abzianidze, Johan Bos

Olga Kovaleva, Anna Rumshisky, Alexey Romanov

InferLite: Simple Universal Sentence Representations from Natural Language Inference Data

Jamie Kiros, William Chan

Word Sense Induction with Neural biLM and Symmetric Patterns

Asaf Amrami, Yoav Goldberg

Learning Concept Abstractness Using Weak Supervision

Ella Rabinovich, Benjamin Sznajder, Artem Spector, Ilya Shnayderman, Ranit Aharonov

Learning Gender-Neutral Word Embeddings

Jieyu Zhao, Yichao Zhou, Zeyu Li, Wei Wang, Kai-Wei Chang

Refining Pretrained Word Embeddings Using Layer-wise Relevance Propagation

Akira Utsumi

Word Relation Autoencoder for Unseen Hypernym Extraction Using Word Embeddings

Hong-You Chen, Cheng-Syuan Lee, Keng-Te Liao, Shou-De Lin

Learning Word Representations with Cross-Sentence Dependency for End-to-End Co-reference Resolution

Hongyin Luo, Jim Glass

Weiyi Lu, Thien Huu Nguyen

Learning Sequence Encoders for Temporal Knowledge Graph Completion

Alberto Garcia-Duran, Sebastijan Dumancic, Mathias Niepert

A strong baseline for question relevancy ranking

Ana Gonzalez, Isabelle Augenstein, Anders Søgaard

FewRel: A Large-Scale Supervised Few-Shot Relation Classification Dataset with State-of-the-Art Evaluation

Xu Han, Hao Zhu, Pengfei Yu, Ziyun Wang, Yuan Yao

Automatic Reference-Based Evaluation of Pronoun Translation Misses the Point

Liane Guillou, Christian Hardmeier

Has Machine Translation Achieved Human Parity? A Case for Document-level Evaluation

Samuel Läubli, Rico Sennrich, Martin Volk

Exploring Recombination for Efficient Decoding of Neural Machine Translation

Zhisong Zhang, Rui Wang, Masao Utiyama, Eiichiro Sumita, Hai Zhao

Greedy Search with Probabilistic N-gram Matching for Neural Machine Translation

Chenze Shao, Xilin Chen, Yang Feng

A Tree-based Decoder for Neural Machine Translation

Xinyi Wang, Hieu Pham, Pengcheng Yin, Graham Neubig

Interpretable Emoji Prediction via Label-Wise Attention LSTMs

Francesco Barbieri, Luis Espinosa-Anke, Jose Camacho-Collados, Steven Schockaert, Horacio Saggion

Modeling Empathy and Distress in Reaction to News Stories

Sven Buechel, Anneke Buffone, Barry Slaff, Lyle Ungar, João Sedoc

A Co-Attention Neural Network Model for Emotion Cause Analysis with Emotional Context Awareness

Xiangju Li, Kaisong Song, Shi Feng, Daling Wang, Yifei Zhang

Revisiting the Importance of Encoding Logic Rules in Sentiment Classification

Kalpesh Krishna, Preethi Jyothi, Mohit Iyyer

Joint Learning for Targeted Sentiment Analysis

Dehong Ma, Sujian Li, Houfeng Wang

The Importance of Being Recurrent for Modeling Hierarchical Structure

Ke Tran, Arianna Bisazza, Christof Monz

Dual Fixed-Size Ordinally Forgetting Encoding (FOFE) for Competitive Neural Language Models

Sedtawut Watcharawittayakul, MingBin Xu, Hui Jiang

Lexicosyntactic Inference in Neural Models

Aaron Steven White, Rachel Rudinger, Kyle Rawlins, Benjamin Van Durme

Understanding Deep Learning Performance through an Examination of Test Set Difficulty: A Psychometric Case Study

John P. Lalor, Hao Wu, Tsendsuren Munkhdalai, Hong Yu

A Neural Model of Adaptation in Reading

Marten van Schijndel, Tal Linzen

Multi-Source Domain Adaptation with Mixture of Experts

Jiang Guo, Darsh Shah, Regina Barzilay

Learning Disentangled Representations of Texts with Application to Biomedical Abstracts

Sarthak Jain, Edward Banner, Jan-Willem van de Meent, Iain J. Marshall, Byron C. Wallace

Modeling Online Discourse with Coupled Distributed Topics

Nikita Srivatsan, Zachary Wojtowicz, Taylor Berg-Kirkpatrick

GraphBTM: Graph Enhanced Autoencoded Variational Inference for Biterm Topic Model

Qile Zhu, Zheng Feng, Xiaolin Li

Siamese Network-Based Supervised Topic Modeling

Minghui Huang, Yanghui Rao, Yuwei Liu, Haoran Xie, Fu Lee Wang

Language Modeling with Sparse Product of Sememe Experts

Yihong Gu, Jun Yan, Hao Zhu, Zhiyuan Liu, Ruobing Xie

On Tree-Based Neural Sentence Modeling

Haoyue Shi, Hao Zhou, Jiaze Chen, Lei Li

Pyramidal Recurrent Unit for Language Modeling

Sachin Mehta, Rik Koncel-Kedziorski, Mohammad Rastegari, Hannaneh Hajishirzi

Disfluency Detection using Auto-Correlational Neural Networks

Paria Jamshid Lou, Peter Anderson, Mark Johnson

Direct Output Connection for a High-Rank Language Model

Sho Takase, Jun Suzuki, Masaaki Nagata

Challenges of Using Text Classifiers for Causal Inference

Zach Wood-Doughty, Ilya Shpitser, Mark Dredze

Uncertainty-aware generative models for inferring document class prevalence

Katherine Keith, Brendan O’Connor

MCapsNet: Capsule Network for Text with Multi-Task Learning

Liqiang Xiao, Honglun Zhang, Wenqing Chen, Yongkun Wang, Yaohui Jin

Semantic-Unit-Based Dilated Convolution for Multi-Label Text Classification

Junyang Lin, Qi Su, Pengcheng Yang, Shuming Ma, Xu Sun

Multi-Task Label Embedding for Text Classification

Honglun Zhang, Liqiang Xiao, Wenqing Chen, Yongkun Wang, Yaohui Jin

Multilingual Clustering of Streaming News

Sebastião Miranda, Arturs Znotins, Shay B. Cohen, Guntis Barzdins

Word Mover’s Embedding: From Word2Vec to Document Embedding

Lingfei Wu, Ian En-Hsu Yen, Kun Xu, Fangli Xu, Avinash Balakrishnan

Learning Universal Sentence Representations with Mean-Max Attention Autoencoder

Minghua Zhang, Yunfang Wu, Weikang Li, Wei Li

Spherical Latent Spaces for Stable Variational Autoencoders

Jiacheng Xu, Greg Durrett

Co-Stack Residual Affinity Networks with Multi-level Attention Refinement for Matching Text Sequences

Yi Tay, Anh Tuan Luu, Siu Cheung Hui

NPRF: A Neural Pseudo Relevance Feedback Framework for Ad-hoc Information Retrieval

Canjia Li, Yingfei Sun, Ben He, Le Wang, Kai Hui

Simple Recurrent Units for Highly Parallelizable Recurrence

Tao Lei, Yu Zhang, Sida I. Wang, Hui Dai, Yoav Artzi

Chargrid: Towards Understanding 2D Documents

Anoop R Katti, Christian Reisswig, Cordula Guder, Sebastian Brarda, Steffen Bickel

Modeling Localness for Self-Attention Networks

Baosong Yang, Zhaopeng Tu, Derek F. Wong, Fandong Meng, Lidia S. Chao

Speed Reading: Learning to Read ForBackward via Shuttle

Tsu-Jui Fu, Wei-Yun Ma

Hard Non-Monotonic Attention for Character-Level Transduction

Shijie Wu, Pamela Shapiro, Ryan Cotterell

Is it Time to Swish? Comparing Deep Learning Activation Functions Across NLP tasks

Steffen Eger, Paul Youssef, Iryna Gurevych

Why Swear? Analyzing and Inferring the Intentions of Vulgar Expressions

Eric Holgate, Isabel Cachola, Daniel Preoţiuc-Pietro, Junyi Jessy Li

Characterizing Interactions and Relationships between People

Farzana Rashid, Eduardo Blanco

Capturing Regional Variation with Distributed Place Representations and Geographic Retrofitting

Dirk Hovy, Christoph Purschke

Yugo Murawaki

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

Ian Stewart, Jacob Eisenstein

Getting to “Hearer-old”: Charting Referring Expressions Across Time

Ieva Staliūnaitė, Hannah Rohde, Bonnie Webber, Annie Louis

Deep Attentive Sentence Ordering Network

Baiyun Cui, Yingming Li, Ming Chen, Zhongfei Zhang

A Neural Local Coherence Model for Text Quality Assessment

Mohsen Mesgar, Michael Strube

NEXUS Network: Connecting the Preceding and the Following in Dialogue Generation

Xiaoyu Shen, Hui Su, Wenjie Li, Dietrich Klakow

A Skeleton-Based Model for Promoting Coherence Among Sentences in Narrative Story Generation

Jingjing Xu, Xuancheng Ren, Yi Zhang, Qi Zeng, Xiaoyan Cai

Revisiting Character-Based Neural Machine Translation with Capacity and Compression

Colin Cherry, George Foster, Ankur Bapna, Orhan Firat, Wolfgang Macherey

Speeding Up Neural Machine Translation Decoding by Cube Pruning

Wen Zhang, Liang Huang, Yang Feng, Lei Shen, Qun Liu

Simplifying Neural Machine Translation with Addition-Subtraction Twin-Gated Recurrent Networks

Biao Zhang, Deyi Xiong, Jinsong Su, Qian Lin, Huiji Zhang

Why Self-Attention? A Targeted Evaluation of Neural Machine Translation Architectures

Gongbo Tang, Mathias Müller, Annette Rios, Rico Sennrich

Exploiting Deep Representations for Neural Machine Translation

Zi-Yi Dou, Zhaopeng Tu, Xing Wang, Shuming Shi, Tong Zhang

A Nil-Aware Answer Extraction Framework for Question Answering

Souvik Kundu, Hwee Tou Ng

Open Domain Question Answering Using Early Fusion of Knowledge Bases and Text

Haitian Sun, Bhuwan Dhingra, Manzil Zaheer, Kathryn Mazaitis, Ruslan Salakhutdinov

Commonsense for Generative Multi-Hop Question Answering Tasks

Lisa Bauer, Yicheng Wang, Mohit Bansal

What Makes Reading Comprehension Questions Easier?

Saku Sugawara, Kentaro Inui, Satoshi Sekine, Akiko Aizawa

Joint Multitask Learning for Community Question Answering Using Task-Specific Embeddings

Shafiq Joty, Lluis Marquez, Preslav Nakov

Learning to Encode Text as Human-Readable Summaries using Generative Adversarial Networks

Yaushian Wang, Hung-yi Lee

Automatic Pyramid Evaluation Exploiting EDU-based Extractive Reference Summaries

Tsutomu Hirao, Hidetaka Kamigaito, Masaaki Nagata