ACL 2019

1,448 papers

Automated Cross-language Intelligibility Analysis of Parkinson’s Disease Patients Using Speech Recognition Technologies

Nina Hosseini-Kivanani, Juan Camilo Vásquez-Correa, Manfred Stede, Elmar Nöth

Knowledge Discovery and Hypothesis Generation from Online Patient Forums: A Research Proposal

Anne Dirkson

Question Answering in the Biomedical Domain

Vincent Nguyen

Gender Stereotypes Differ between Male and Female Writings

Yusu Qian

Towards Turkish Abstract Meaning Representation

Zahra Azin, Gülşen Eryiǧit

Not All Reviews Are Equal: Towards Addressing Reviewer Biases for Opinion Summarization

Wenyi Tay

Measuring the Value of Linguistics: A Case Study from St. Lawrence Island Yupik

Emily Chen

A Computational Linguistic Study of Personal Recovery in Bipolar Disorder

Glorianna Jagfeld

Robust to Noise Models in Natural Language Processing Tasks

Valentin Malykh

Distributed Knowledge Based Clinical Auto-Coding System

Rajvir Kaur

Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop

Fernando Alva-Manchego, Eunsol Choi, Daniel Khashabi

Learning to Relate from Captions and Bounding Boxes

Sarthak Garg, Joel Ruben Antony Moniz, Anshu Aviral, Priyatham Bollimpalli

Multimodal Abstractive Summarization for How2 Videos

Shruti Palaskar, Jindřich Libovický, Spandana Gella, Florian Metze

Visual Story Post-Editing

Ting-Yao Hsu, Chieh-Yang Huang, Yen-Chia Hsu, Ting-Hao Huang

Show, Describe and Conclude: On Exploiting the Structure Information of Chest X-ray Reports

Baoyu Jing, Zeya Wang, Eric Xing

Multimodal Transformer for Unaligned Multimodal Language Sequences

Yao-Hung Hubert Tsai, Shaojie Bai, Paul Pu Liang, J. Zico Kolter, Louis-Philippe Morency

Are You Looking? Grounding to Multiple Modalities in Vision-and-Language Navigation

Ronghang Hu, Daniel Fried, Anna Rohrbach, Dan Klein, Trevor Darrell

VIFIDEL: Evaluating the Visual Fidelity of Image Descriptions

Pranava Madhyastha, Josiah Wang, Lucia Specia

Distilling Translations with Visual Awareness

Julia Ive, Pranava Madhyastha, Lucia Specia

Bridging by Word: Image Grounded Vocabulary Construction for Visual Captioning

Zhihao Fan, zhongyu wei, Siyuan Wang, Xuanjing Huang

CoDraw: Collaborative Drawing as a Testbed for Grounded Goal-driven Communication

Jin-Hwa Kim, Nikita Kitaev, Xinlei Chen, Marcus Rohrbach, Byoung-tak Zhang

Informative Image Captioning with External Sources of Information

Sanqiang Zhao, Piyush Sharma, Tomer Levinboim, Radu Soricut

Lattice Transformer for Speech Translation

Pei Zhang, Niyu Ge, Boxing Chen, Kai Fan

Multi-step Reasoning via Recurrent Dual Attention for Visual Dialog

Zhe Gan, Yu Cheng, Ahmed Kholy, Linjie Li, Jingjing Liu

Symbolic Inductive Bias for Visually Grounded Learning of Spoken Language

Grzegorz Chrupała

What Should I Ask? Using Conversationally Informative Rewards for Goal-oriented Visual Dialog.

Pushkar Shukla, Carlos Elmadjian, Richika Sharan, Vivek Kulkarni, Matthew Turk

Learning to Discover, Ground and Use Words with Segmental Neural Language Models

Kazuya Kawakami, Chris Dyer, Phil Blunsom

A Corpus for Reasoning about Natural Language Grounded in Photographs

Alane Suhr, Stephanie Zhou, Ally Zhang, Iris Zhang, Huajun Bai

Identifying Visible Actions in Lifestyle Vlogs

Oana Ignat, Laura Burdick, Jia Deng, Rada Mihalcea

Latent Variable Model for Multi-modal Translation

Iacer Calixto, Miguel Rios, Wilker Aziz

Dense Procedure Captioning in Narrated Instructional Videos

Botian Shi, Lei Ji, Yaobo Liang, Nan Duan, Peng Chen

Topic Modeling with Wasserstein Autoencoders

Feng Nan, Ran Ding, Ramesh Nallapati, Bing Xiang

A Multi-Task Architecture on Relevance-based Neural Query Translation

Sheikh Muhammad Sarwar, Hamed Bonab, James Allan

Encouraging Paragraph Embeddings to Remember Sentence Identity Improves Classification

Tu Vu, Mohit Iyyer

Why Didn’t You Listen to Me? Comparing User Control of Human-in-the-Loop Topic Models

Varun Kumar, Alison Smith-Renner, Leah Findlater, Kevin Seppi, Jordan Boyd-Graber

Large-Scale Multi-Label Text Classification on EU Legislation

Ilias Chalkidis, Emmanouil Fergadiotis, Prodromos Malakasiotis, Ion Androutsopoulos

Numeracy-600K: Learning Numeracy for Detecting Exaggerated Information in Market Comments

Chung-Chi Chen, Hen-Hsen Huang, Hiroya Takamura, Hsin-Hsi Chen

Bias Analysis and Mitigation in the Evaluation of Authorship Verification

Janek Bevendorff, Matthias Hagen, Benno Stein, Martin Potthast

Hierarchical Transfer Learning for Multi-label Text Classification

Siddhartha Banerjee, Cem Akkaya, Francisco Perez-Sorrosal, Kostas Tsioutsiouliklis

Matching Article Pairs with Graphical Decomposition and Convolutions

Bang Liu, Di Niu, Haojie Wei, Jinghong Lin, Yancheng He

Incorporating Priors with Feature Attribution on Text Classification

Frederick Liu, Besim Avci

Inducing Document Structure for Aspect-based Summarization

Lea Frermann, Alexandre Klementiev

Discourse Representation Parsing for Sentences and Documents

Jiangming Liu, Shay B. Cohen, Mirella Lapata

Sentence Centrality Revisited for Unsupervised Summarization

Hao Zheng, Mirella Lapata

An Automated Framework for Fast Cognate Detection and Bayesian Phylogenetic Inference in Computational Historical Linguistics

Taraka Rama, Johann-Mattis List

Accelerating Sparse Matrix Operations in Neural Networks on Graphics Processing Units

Arturo Argueta, David Chiang

Wetin dey with these comments? Modeling Sociolinguistic Factors Affecting Code-switching Behavior in Nigerian Online Discussions

Innocent Ndubuisi-Obi, Sayan Ghosh, David Jurgens

Exploiting Sentential Context for Neural Machine Translation

Xing Wang, Zhaopeng Tu, Longyue Wang, Shuming Shi

Reducing Word Omission Errors in Neural Machine Translation: A Contrastive Learning Approach

Zonghan Yang, Yong Cheng, Yang Liu, Maosong Sun

MCˆ2: Multi-perspective Convolutional Cube for Conversational Machine Reading Comprehension

Xuanyu Zhang

Are Red Roses Red? Evaluating Consistency of Question-Answering Models

Marco Tulio Ribeiro, Carlos Guestrin, Sameer Singh

Synthetic QA Corpora Generation with Roundtrip Consistency

Chris Alberti, Daniel Andor, Emily Pitler, Jacob Devlin, Michael Collins

Modeling Intra-Relation in Math Word Problems with Different Functional Multi-Head Attentions

Jierui Li, Lei Wang, Jipeng Zhang, Yan Wang, Bing Tian Dai

NLProlog: Reasoning with Weak Unification for Question Answering in Natural Language

Leon Weber, Pasquale Minervini, Jannes Münchmeyer, Ulf Leser, Tim Rocktäschel

Dynamically Fused Graph Network for Multi-hop Reasoning

Lin Qiu, Yunxuan Xiao, Yanru Qu, Hao Zhou, Lei Li

Learning Representation Mapping for Relation Detection in Knowledge Base Question Answering

Peng Wu, Shujian Huang, Rongxiang Weng, Zaixiang Zheng, Jianbing Zhang

Careful Selection of Knowledge to Solve Open Book Question Answering

Pratyay Banerjee, Kuntal Kumar Pal, Arindam Mitra, Chitta Baral

Combining Knowledge Hunting and Neural Language Models to Solve the Winograd Schema Challenge

Ashok Prakash, Arpit Sharma, Arindam Mitra, Chitta Baral

Multi-hop Reading Comprehension through Question Decomposition and Rescoring

Sewon Min, Victor Zhong, Luke Zettlemoyer, Hannaneh Hajishirzi

Latent Retrieval for Weakly Supervised Open Domain Question Answering

Kenton Lee, Ming-Wei Chang, Kristina Toutanova

RankQA: Neural Question Answering with Answer Re-Ranking

Bernhard Kratzwald, Anna Eigenmann, Stefan Feuerriegel

Improving the Robustness of Question Answering Systems to Question Paraphrasing

Wee Chung Gan, Hwee Tou Ng

Automatic Grammatical Error Correction for Sequence-to-sequence Text Generation: An Empirical Study

Tao Ge, Xingxing Zhang, Furu Wei, Ming Zhou

Large-Scale Transfer Learning for Natural Language Generation

Sergey Golovanov, Rauf Kurbanov, Sergey Nikolenko, Kyryl Truskovskyi, Alexander Tselousov

Negative Lexically Constrained Decoding for Paraphrase Generation

Tomoyuki Kajiwara

Storyboarding of Recipes: Grounded Contextual Generation

Khyathi Chandu, Eric Nyberg, Alan W Black

Unsupervised Paraphrasing without Translation

Aurko Roy, David Grangier

Self-Attention Architectures for Answer-Agnostic Neural Question Generation

Thomas Scialom, Benjamin Piwowarski, Jacopo Staiano

Learning to Control the Fine-grained Sentiment for Story Ending Generation

Fuli Luo, Damai Dai, Pengcheng Yang, Tianyu Liu, Baobao Chang

Generating Sentences from Disentangled Syntactic and Semantic Spaces

Yu Bao, Hao Zhou, Shujian Huang, Lei Li, Lili Mou

Style Transformer: Unpaired Text Style Transfer without Disentangled Latent Representation

Ning Dai, Jianze Liang, Xipeng Qiu, Xuanjing Huang

Towards Comprehensive Description Generation from Factual Attribute-value Tables

Tianyu Liu, Fuli Luo, Pengcheng Yang, Wei Wu, Baobao Chang

Controllable Paraphrase Generation with a Syntactic Exemplar

Mingda Chen, Qingming Tang, Sam Wiseman, Kevin Gimpel

Barack’s Wife Hillary: Using Knowledge Graphs for Fact-Aware Language Modeling

Robert Logan, Nelson F. Liu, Matthew E. Peters, Matt Gardner, Sameer Singh

Automated Chess Commentator Powered by Neural Chess Engine

Hongyu Zang, Zhiwei Yu, Xiaojun Wan

Curate and Generate: A Corpus and Method for Joint Control of Semantics and Style in Neural NLG

Shereen Oraby, Vrindavan Harrison, Abteen Ebrahimi, Marilyn Walker

BAM! Born-Again Multi-Task Networks for Natural Language Understanding

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

Interpolated Spectral NGram Language Models

Ariadna Quattoni, Xavier Carreras

The Referential Reader: A Recurrent Entity Network for Anaphora Resolution

Fei Liu, Luke Zettlemoyer, Jacob Eisenstein

Optimal Transport-based Alignment of Learned Character Representations for String Similarity

Derek Tam, Nicholas Monath, Ari Kobren, Aaron Traylor, Rajarshi Das

Task Refinement Learning for Improved Accuracy and Stability of Unsupervised Domain Adaptation

Yftah Ziser, Roi Reichart

Variational Pretraining for Semi-supervised Text Classification

Suchin Gururangan, Tam Dang, Dallas Card, Noah A. Smith

Model-Agnostic Meta-Learning for Relation Classification with Limited Supervision

Abiola Obamuyide, Andreas Vlachos

Using Human Attention to Extract Keyphrase from Microblog Post

Yingyi Zhang, Chengzhi Zhang

A Semi-Markov Structured Support Vector Machine Model for High-Precision Named Entity Recognition

Ravneet Arora, Chen-Tse Tsai, Ketevan Tsereteli, Prabhanjan Kambadur, Yi Yang

Low-resource Deep Entity Resolution with Transfer and Active Learning

Jungo Kasai, Kun Qian, Sairam Gurajada, Yunyao Li, Lucian Popa

Merge and Label: A Novel Neural Network Architecture for Nested NER

Joseph Fisher, Andreas Vlachos

Adversarial Learning of Privacy-Preserving Text Representations for De-Identification of Medical Records

Max Friedrich, Arne Köhn, Gregor Wiedemann, Chris Biemann

Target Conditioned Sampling: Optimizing Data Selection for Multilingual Neural Machine Translation

Xinyi Wang, Graham Neubig

Simultaneous Translation with Flexible Policy via Restricted Imitation Learning

Baigong Zheng, Renjie Zheng, Mingbo Ma, Liang Huang

Better OOV Translation with Bilingual Terminology Mining

Matthias Huck, Viktor Hangya, Alexander Fraser

Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned

Elena Voita, David Talbot, Fedor Moiseev, Rico Sennrich, Ivan Titov

Generalized Data Augmentation for Low-Resource Translation

Mengzhou Xia, Xiang Kong, Antonios Anastasopoulos, Graham Neubig

Confusionset-guided Pointer Networks for Chinese Spelling Check

Dingmin Wang, Yi Tay, Li Zhong

Corpus-based Check-up for Thesaurus

Natalia Loukachevitch

Collocation Classification with Unsupervised Relation Vectors

Luis Espinosa Anke, Steven Schockaert, Leo Wanner

Deep Neural Model Inspection and Comparison via Functional Neuron Pathways

James Fiacco, Samridhi Choudhary, Carolyn Rose

Probing for Semantic Classes: Diagnosing the Meaning Content of Word Embeddings

Yadollah Yaghoobzadeh, Katharina Kann, T. J. Hazen, Eneko Agirre, Hinrich Schütze

Empirical Linguistic Study of Sentence Embeddings

Katarzyna Krasnowska-Kieraś, Alina Wróblewska

Predicting Humorousness and Metaphor Novelty with Gaussian Process Preference Learning

Edwin Simpson, Erik-Lân Do Dinh, Tristan Miller, Iryna Gurevych