NAACL 2018

588 papers

Dialogue Learning with Human Teaching and Feedback in End-to-End Trainable Task-Oriented Dialogue Systems

Bing Liu, Gokhan Tur, Dilek Hakkani-Tur, Pararth Shah, Larry Heck

Dialog Generation Using Multi-Turn Reasoning Neural Networks

Xianchao Wu, Ander Martinez, Momo Klyen

Challenging Reading Comprehension on Daily Conversation: Passage Completion on Multiparty Dialog

Kaixin Ma, Tomasz Jurczyk, Jinho D. Choi

Unsupervised Induction of Linguistic Categories with Records of Reading, Speaking, and Writing

Maria Barrett, Ana Valeria González-Garduño, Lea Frermann, Anders Søgaard

The Timing of Lexical Memory Retrievals in Language Production

Jeremy Cole, David Reitter

Spotting Spurious Data with Neural Networks

Hadi Amiri, Timothy Miller, Guergana Savova

Comparing Theories of Speaker Choice Using a Model of Classifier Production in Mandarin Chinese

Meilin Zhan, Roger Levy

Assessing Language Proficiency from Eye Movements in Reading

Yevgeni Berzak, Boris Katz, Roger Levy

Behavior Analysis of NLI Models: Uncovering the Influence of Three Factors on Robustness

Ivan Sanchez, Jeff Mitchell, Sebastian Riedel

Hierarchical Structured Model for Fine-to-Coarse Manifesto Text Analysis

Shivashankar Subramanian, Trevor Cohn, Timothy Baldwin

Unified Pragmatic Models for Generating and Following Instructions

Daniel Fried, Jacob Andreas, Dan Klein

Linguistic Cues to Deception and Perceived Deception in Interview Dialogues

Sarah Ita Levitan, Angel Maredia, Julia Hirschberg

The Argument Reasoning Comprehension Task: Identification and Reconstruction of Implicit Warrants

Ivan Habernal, Henning Wachsmuth, Iryna Gurevych, Benno Stein

Human Needs Categorization of Affective Events Using Labeled and Unlabeled Data

Haibo Ding, Ellen Riloff

Word Emotion Induction for Multiple Languages as a Deep Multi-Task Learning Problem

Sven Buechel, Udo Hahn

Multi-Task Learning of Pairwise Sequence Classification Tasks over Disparate Label Spaces

Isabelle Augenstein, Sebastian Ruder, Anders Søgaard

Sentiment Analysis: It’s Complicated!

Kian Kenyon-Dean, Eisha Ahmed, Scott Fujimoto, Jeremy Georges-Filteau, Christopher Glasz

Adversarial Example Generation with Syntactically Controlled Paraphrase Networks

Mohit Iyyer, John Wieting, Kevin Gimpel, Luke Zettlemoyer

Delete, Retrieve, Generate: a Simple Approach to Sentiment and Style Transfer

Juncen Li, Robin Jia, He He, Percy Liang

Interpretable Charge Predictions for Criminal Cases: Learning to Generate Court Views from Fact Descriptions

Hai Ye, Xin Jiang, Zhunchen Luo, Wenhan Chao

ELDEN: Improved Entity Linking Using Densified Knowledge Graphs

Priya Radhakrishnan, Partha Talukdar, Vasudeva Varma

Inducing Temporal Relations from Time Anchor Annotation

Fei Cheng, Yusuke Miyao

Variational Knowledge Graph Reasoning

Wenhu Chen, Wenhan Xiong, Xifeng Yan, William Yang Wang

Learning to Disentangle Interleaved Conversational Threads with a Siamese Hierarchical Network and Similarity Ranking

Jyun-Yu Jiang, Francine Chen, Yan-Ying Chen, Wei Wang

Detecting Egregious Conversations between Customers and Virtual Agents

Tommy Sandbank, Michal Shmueli-Scheuer, Jonathan Herzig, David Konopnicki, John Richards

A Hierarchical Latent Structure for Variational Conversation Modeling

Yookoon Park, Jaemin Cho, Gunhee Kim

Which Scores to Predict in Sentence Regression for Text Summarization?

Markus Zopf, Eneldo Loza Mencía, Johannes Fürnkranz

What’s This Movie About? A Joint Neural Network Architecture for Movie Content Analysis

Philip John Gorinski, Mirella Lapata

Relational Summarization for Corpus Analysis

Abram Handler, Brendan O’Connor

Ranking Sentences for Extractive Summarization with Reinforcement Learning

Shashi Narayan, Shay B. Cohen, Mirella Lapata

Provable Fast Greedy Compressive Summarization with Any Monotone Submodular Function

Shinsaku Sakaue, Tsutomu Hirao, Masaaki Nishino, Masaaki Nagata

Neural Storyline Extraction Model for Storyline Generation from News Articles

Deyu Zhou, Linsen Guo, Yulan He

Higher-Order Syntactic Attention Network for Longer Sentence Compression

Hidetaka Kamigaito, Katsuhiko Hayashi, Tsutomu Hirao, Masaaki Nagata

Generative Bridging Network for Neural Sequence Prediction

Wenhu Chen, Guanlin Li, Shuo Ren, Shujie LIU, Zhirui Zhang

Generating Topic-Oriented Summaries Using Neural Attention

Kundan Krishna, Balaji Vasan Srinivasan

Estimating Summary Quality with Pairwise Preferences

Markus Zopf

Encoding Conversation Context for Neural Keyphrase Extraction from Microblog Posts

Yingyi Zhang, Jing Li, Yan Song, Chengzhi Zhang

Deep Communicating Agents for Abstractive Summarization

Asli Celikyilmaz, Antoine Bosselut, Xiaodong He, Yejin Choi

A Dataset of Peer Reviews (PeerRead): Collection, Insights and NLP Applications

Dongyeop Kang, Waleed Ammar, Bhavana Dalvi, Madeleine van Zuylen, Sebastian Kohlmeier

The Importance of Calibration for Estimating Proportions from Annotations

Dallas Card, Noah A. Smith

Detecting Denial-of-Service Attacks from Social Media Text: Applying NLP to Computer Security

Nathanael Chambers, Ben Fry, James McMasters

Deconfounded Lexicon Induction for Interpretable Social Science

Reid Pryzant, Kelly Shen, Dan Jurafsky, Stefan Wagner

Combining Deep Learning and Topic Modeling for Review Understanding in Context-Aware Recommendation

Mingmin Jin, Xin Luo, Huiling Zhu, Hankz Hankui Zhuo

Tracking State Changes in Procedural Text: a Challenge Dataset and Models for Process Paragraph Comprehension

Bhavana Dalvi, Lifu Huang, Niket Tandon, Wen-tau Yih, Peter Clark

Supervised and Unsupervised Transfer Learning for Question Answering

Yu-An Chung, Hung-yi Lee, James Glass

Learning to Rank Question-Answer Pairs Using Hierarchical Recurrent Encoder with Latent Topic Clustering

Seunghyun Yoon, Joongbo Shin, Kyomin Jung

Learning to Collaborate for Question Answering and Asking

Duyu Tang, Nan Duan, Zhao Yan, Zhirui Zhang, Yibo Sun

CliCR: a Dataset of Clinical Case Reports for Machine Reading Comprehension

Simon Suster, Walter Daelemans

Generating Descriptions from Structured Data Using a Bifocal Attention Mechanism and Gated Orthogonalization

Preksha Nema, Shreyas Shetty, Parag Jain, Anirban Laha, Karthik Sankaranarayanan

SHAPED: Shared-Private Encoder-Decoder for Text Style Adaptation

Ye Zhang, Nan Ding, Radu Soricut

Bootstrapping Generators from Noisy Data

Laura Perez-Beltrachini, Mirella Lapata

Identifying Semantic Divergences in Parallel Text without Annotations

Yogarshi Vyas, Xing Niu, Marine Carpuat

Learning Joint Semantic Parsers from Disjoint Data

Hao Peng, Sam Thomson, Swabha Swayamdipta, Noah A. Smith

Multimodal Frame Identification with Multilingual Evaluation

Teresa Botschen, Iryna Gurevych, Jan-Christoph Klie, Hatem Mousselly-Sergieh, Stefan Roth

KBGAN: Adversarial Learning for Knowledge Graph Embeddings

Liwei Cai, William Yang Wang

DR-BiLSTM: Dependent Reading Bidirectional LSTM for Natural Language Inference

Reza Ghaeini, Sadid A. Hasan, Vivek Datla, Joey Liu, Kathy Lee

A Neural Layered Model for Nested Named Entity Recognition

Meizhi Ju, Makoto Miwa, Sophia Ananiadou

Using Morphological Knowledge in Open-Vocabulary Neural Language Models

Austin Matthews, Graham Neubig, Chris Dyer

Simple Models for Word Formation in Slang

Vivek Kulkarni, William Yang Wang

Reusing Weights in Subword-Aware Neural Language Models

Zhenisbek Assylbekov, Rustem Takhanov

Modeling Noisiness to Recognize Named Entities using Multitask Neural Networks on Social Media

Gustavo Aguilar, Adrian Pastor López-Monroy, Fabio Gonzalez, Thamar Solorio

Context Sensitive Neural Lemmatization with Lematus

Toms Bergmanis, Sharon Goldwater

Target Foresight Based Attention for Neural Machine Translation

Xintong Li, Lemao Liu, Zhaopeng Tu, Shuming Shi, Max Meng

Self-Attentive Residual Decoder for Neural Machine Translation

Lesly Miculicich Werlen, Nikolaos Pappas, Dhananjay Ram, Andrei Popescu-Belis

Neural Machine Translation for Bilingually Scarce Scenarios: a Deep Multi-Task Learning Approach

Poorya Zaremoodi, Gholamreza Haffari

Improving Neural Machine Translation with Conditional Sequence Generative Adversarial Nets

Zhen Yang, Wei Chen, Feng Wang, Bo Xu

Handling Homographs in Neural Machine Translation

Frederick Liu, Han Lu, Graham Neubig

Guiding Neural Machine Translation with Retrieved Translation Pieces

Jingyi Zhang, Masao Utiyama, Eiichro Sumita, Graham Neubig, Satoshi Nakamura

Fast Lexically Constrained Decoding with Dynamic Beam Allocation for Neural Machine Translation

Matt Post, David Vilar

Evaluating Discourse Phenomena in Neural Machine Translation

Rachel Bawden, Rico Sennrich, Alexandra Birch, Barry Haddow

Dense Information Flow for Neural Machine Translation

Yanyao Shen, Xu Tan, Di He, Tao Qin, Tie-yan Liu

Combining Character and Word Information in Neural Machine Translation Using a Multi-Level Attention

Huadong Chen, Shujian Huang, David Chiang, Xinyu Dai, Jiajun Chen

The Context-Dependent Additive Recurrent Neural Net

Quan Hung Tran, Tuan Lai, Gholamreza Haffari, Ingrid Zukerman, Trung Bui

Tensor Product Generation Networks for Deep NLP Modeling

Qiuyuan Huang, Paul Smolensky, Xiaodong He, Li Deng, Dapeng Wu

Reinforced Co-Training

Jiawei Wu, Lei Li, William Yang Wang

Pivot Based Language Modeling for Improved Neural Domain Adaptation

Yftah Ziser, Roi Reichart

Multinomial Adversarial Networks for Multi-Domain Text Classification

Xilun Chen, Claire Cardie

Early Text Classification Using Multi-Resolution Concept Representations

Adrian Pastor López-Monroy, Fabio A. González, Manuel Montes, Hugo Jair Escalante, Thamar Solorio

Diverse Few-Shot Text Classification with Multiple Metrics

Mo Yu, Xiaoxiao Guo, Jinfeng Yi, Shiyu Chang, Saloni Potdar

Colorless Green Recurrent Networks Dream Hierarchically

Kristina Gulordava, Piotr Bojanowski, Edouard Grave, Tal Linzen, Marco Baroni

End-to-End Graph-Based TAG Parsing with Neural Networks

Jungo Kasai, Robert Frank, Pauli Xu, William Merrill, Owen Rambow

A Structured Syntax-Semantics Interface for English-AMR Alignment

Ida Szubert, Adam Lopez, Nathan Schneider

Sentences with Gapping: Parsing and Reconstructing Elided Predicates

Sebastian Schuster, Joakim Nivre, Christopher D. Manning

Cross-Lingual Abstract Meaning Representation Parsing

Marco Damonte, Shay B. Cohen

Specialising Word Vectors for Lexical Entailment

Ivan Vulić, Nikola Mrkšić

Filling Missing Paths: Modeling Co-occurrences of Word Pairs and Dependency Paths for Recognizing Lexical Semantic Relations

Koki Washio, Tsuneaki Kato

A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference

Adina Williams, Nikita Nangia, Samuel Bowman

Explainable Prediction of Medical Codes from Clinical Text

James Mullenbach, Sarah Wiegreffe, Jon Duke, Jimeng Sun, Jacob Eisenstein

Lessons from the Bible on Modern Topics: Low-Resource Multilingual Topic Model Evaluation

Shudong Hao, Jordan Boyd-Graber, Michael J. Paul

Deep Temporal-Recurrent-Replicated-Softmax for Topical Trends over Time

Pankaj Gupta, Subburam Rajaram, Hinrich Schütze, Bernt Andrassy

Comparing Automatic and Human Evaluation of Local Explanations for Text Classification

Dong Nguyen

Author Commitment and Social Power: Automatic Belief Tagging to Infer the Social Context of Interactions

Vinodkumar Prabhakaran, Premkumar Ganeshkumar, Owen Rambow

Inducing a Lexicon of Abusive Words – a Feature-Based Approach

Michael Wiegand, Josef Ruppenhofer, Anna Schmidt, Clayton Greenberg

Exploring the Role of Prior Beliefs for Argument Persuasion

Esin Durmus, Claire Cardie

Learning Word Embeddings for Low-Resource Languages by PU Learning

Chao Jiang, Hsiang-Fu Yu, Cho-jui Hsieh, Kai-Wei Chang

Deep Generative Model for Joint Alignment and Word Representation

Miguel Rios, Wilker Aziz, Khalil Sima’an

What’s Going On in Neural Constituency Parsers? An Analysis

David Gaddy, Mitchell Stern, Dan Klein

Universal Dependency Parsing for Hindi-English Code-Switching

Irshad Bhat, Riyaz A. Bhat, Manish Shrivastava, Dipti Sharma

Robust Multilingual Part-of-Speech Tagging via Adversarial Training

Michihiro Yasunaga, Jungo Kasai, Dragomir Radev

Parsing Tweets into Universal Dependencies

Yijia Liu, Yi Zhu, Wanxiang Che, Bing Qin, Nathan Schneider