ACL 2019

1,448 papers

Learning to Abstract for Memory-augmented Conversational Response Generation

Zhiliang Tian, Wei Bi, Xiaopeng Li, Nevin L. Zhang

Learning a Matching Model with Co-teaching for Multi-turn Response Selection in Retrieval-based Dialogue Systems

Jiazhan Feng, Chongyang Tao, Wei Wu, Yansong Feng, Dongyan Zhao

Proactive Human-Machine Conversation with Explicit Conversation Goal

Wenquan Wu, Zhen Guo, Xiangyang Zhou, Hua Wu, Xiyuan Zhang

On-device Structured and Context Partitioned Projection Networks

Sujith Ravi, Zornitsa Kozareva

Vocabulary Pyramid Network: Multi-Pass Encoding and Decoding with Multi-Level Vocabularies for Response Generation

Cao Liu, Shizhu He, Kang Liu, Jun Zhao

Retrieval-Enhanced Adversarial Training for Neural Response Generation

Qingfu Zhu, Lei Cui, Wei-Nan Zhang, Furu Wei, Ting Liu

Comparison of Diverse Decoding Methods from Conditional Language Models

Daphne Ippolito, Reno Kriz, João Sedoc, Maria Kustikova, Chris Callison-Burch

Budgeted Policy Learning for Task-Oriented Dialogue Systems

Zhirui Zhang, Xiujun Li, Jianfeng Gao, Enhong Chen

Dialogue Natural Language Inference

Sean Welleck, Jason Weston, arthur szlam, Kyunghyun Cho

ReCoSa: Detecting the Relevant Contexts with Self-Attention for Multi-turn Dialogue Generation

Hainan Zhang, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng

Incremental Learning from Scratch for Task-Oriented Dialogue Systems

Weikang Wang, Jiajun Zhang, Qian Li, Mei-Yuh Hwang, Chengqing Zong

Semantically Conditioned Dialog Response Generation via Hierarchical Disentangled Self-Attention

Wenhu Chen, Jianshu Chen, Pengda Qin, Xifeng Yan, William Yang Wang

Generating Responses with a Specific Emotion in Dialog

Zhenqiao Song, Xiaoqing Zheng, LU LIU, Mu Xu, Xuanjing Huang

Learning from Dialogue after Deployment: Feed Yourself, Chatbot!

Braden Hancock, Antoine Bordes, Pierre-Emmanuel Mazare, Jason Weston

A Just and Comprehensive Strategy for Using NLP to Address Online Abuse

David Jurgens, Libby Hemphill, Eshwar Chandrasekharan

What Does BERT Learn about the Structure of Language?

Ganesh Jawahar, Benoît Sagot, Djamé Seddah

Energy and Policy Considerations for Deep Learning in NLP

Emma Strubell, Ananya Ganesh, Andrew McCallum

Assessing the Ability of Self-Attention Networks to Learn Word Order

Baosong Yang, Longyue Wang, Derek F. Wong, Lidia S. Chao, Zhaopeng Tu

Literary Event Detection

Matthew Sims, Jong Ho Park, David Bamman

Shared-Private Bilingual Word Embeddings for Neural Machine Translation

Xuebo Liu, Derek F. Wong, Yang Liu, Lidia S. Chao, Tong Xiao

Improving Visual Question Answering by Referring to Generated Paragraph Captions

Hyounghun Kim, Mohit Bansal

Psycholinguistics Meets Continual Learning: Measuring Catastrophic Forgetting in Visual Question Answering

Claudio Greco, Barbara Plank, Raquel Fernández, Raffaella Bernardi

Multi-grained Attention with Object-level Grounding for Visual Question Answering

Pingping Huang, Jianhui Huang, Yuqing Guo, Min Qiao, Yong Zhu

Generating Question Relevant Captions to Aid Visual Question Answering

Jialin Wu, Zeyuan Hu, Raymond Mooney

Textbook Question Answering with Multi-modal Context Graph Understanding and Self-supervised Open-set Comprehension

Daesik Kim, Seonhoon Kim, Nojun Kwak

ELI5: Long Form Question Answering

Angela Fan, Yacine Jernite, Ethan Perez, David Grangier, Jason Weston

Aspect Sentiment Classification Towards Question-Answering with Reinforced Bidirectional Attention Network

Jingjing Wang, Changlong Sun, Shoushan Li, Xiaozhong Liu, Luo Si

Exploring Sequence-to-Sequence Learning in Aspect Term Extraction

Dehong Ma, Sujian Li, Fangzhao Wu, Xing Xie, Houfeng Wang

Improved Sentiment Detection via Label Transfer from Monolingual to Synthetic Code-Switched Text

Bidisha Samanta, Niloy Ganguly, Soumen Chakrabarti

Tree Communication Models for Sentiment Analysis

yuan zhang, Yue Zhang

A Multilingual BPE Embedding Space for Universal Sentiment Lexicon Induction

Mengjie Zhao, Hinrich Schütze

Multilingual Constituency Parsing with Self-Attention and Pre-Training

Nikita Kitaev, Steven Cao, Dan Klein

Women’s Syntactic Resilience and Men’s Grammatical Luck: Gender-Bias in Part-of-Speech Tagging and Dependency Parsing

Aparna Garimella, Carmen Banea, Dirk Hovy, Rada Mihalcea

An Imitation Learning Approach to Unsupervised Parsing

Bowen Li, Lili Mou, Frank Keller

Scalable Syntax-Aware Language Models Using Knowledge Distillation

Adhiguna Kuncoro, Chris Dyer, Laura Rimell, Stephen Clark, Phil Blunsom

Dual Adversarial Neural Transfer for Low-Resource Named Entity Recognition

Joey Tianyi Zhou, Hao Zhang, Di Jin, Hongyuan Zhu, Meng Fang

Zero-Shot Entity Linking by Reading Entity Descriptions

Lajanugen Logeswaran, Ming-Wei Chang, Kenton Lee, Kristina Toutanova, Jacob Devlin

Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference

R. Thomas McCoy, Ellie Pavlick, Tal Linzen

Transforming Complex Sentences into a Semantic Hierarchy

Christina Niklaus, Matthias Cetto, Andre Freitas, Siegfried Handschuh

Decomposable Neural Paraphrase Generation

Zichao Li, Xin Jiang, Lifeng Shang, Qun Liu

EditNTS: An Neural Programmer-Interpreter Model for Sentence Simplification through Explicit Editing

Yue Dong, Zichao Li, Mehdi Rezagholizadeh, Jackie Chi Kit CHEUNG

HighRES: Highlight-based Reference-less Evaluation of Summarization

Hardy, Shashi Narayan, Andreas Vlachos

Exploring Numeracy in Word Embeddings

Aakanksha Naik, Abhilasha Ravichander, Carolyn Rose, Eduard Hovy

BERT-based Lexical Substitution

Wangchunshu Zhou, Tao Ge, Ke Xu, Furu Wei, Ming Zhou

The Effectiveness of Simple Hybrid Systems for Hypernym Discovery

William Held, Nizar Habash

Embedding Imputation with Grounded Language Information

Ziyi Yang, Chenguang Zhu, Vin Sachidananda, Eric Darve

Making Fast Graph-based Algorithms with Graph Metric Embeddings

Andrey Kutuzov, Mohammad Dorgham, Oleksiy Oliynyk, Chris Biemann, Alexander Panchenko

Putting Words in Context: LSTM Language Models and Lexical Ambiguity

Laura Aina, Kristina Gulordava, Gemma Boleda

Annotation and Automatic Classification of Aspectual Categories

Markus Egg, Helena Prepens, Will Roberts

Delta Embedding Learning

Xiao Zhang, Ji Wu, Dejing Dou

Word and Document Embedding with vMF-Mixture Priors on Context Word Vectors

Shoaib Jameel, Steven Schockaert

Incorporating Syntactic and Semantic Information in Word Embeddings using Graph Convolutional Networks

Shikhar Vashishth, Manik Bhandari, Prateek Yadav, Piyush Rai, Chiranjib Bhattacharyya

Unraveling Antonym’s Word Vectors through a Siamese-like Network

Mathias Etcheverry, Dina Wonsever

Relational Word Embeddings

Jose Camacho-Collados, Luis Espinosa Anke, Steven Schockaert

Robust Representation Learning of Biomedical Names

Minh C. Phan, Aixin Sun, Yi Tay

On the Compositionality Prediction of Noun Phrases using Poincaré Embeddings

Abhik Jana, Dima Puzyrev, Alexander Panchenko, Pawan Goyal, Chris Biemann

Towards Understanding Linear Word Analogies

Kawin Ethayarajh, David Duvenaud, Graeme Hirst

Is Word Segmentation Necessary for Deep Learning of Chinese Representations?

Xiaoya Li, Yuxian Meng, Xiaofei Sun, Qinghong Han, Arianna Yuan

Inferring Concept Hierarchies from Text Corpora via Hyperbolic Embeddings

Matthew Le, Stephen Roller, Laetitia Papaxanthos, Douwe Kiela, Maximilian Nickel

Unsupervised Joint Training of Bilingual Word Embeddings

Benjamin Marie, Atsushi Fujita

Cross-Lingual Syntactic Transfer through Unsupervised Adaptation of Invertible Projections

Junxian He, Zhisong Zhang, Taylor Berg-Kirkpatrick, Graham Neubig

JW300: A Wide-Coverage Parallel Corpus for Low-Resource Languages

Željko Agić, Ivan Vulić

Margin-based Parallel Corpus Mining with Multilingual Sentence Embeddings

Mikel Artetxe, Holger Schwenk

MAAM: A Morphology-Aware Alignment Model for Unsupervised Bilingual Lexicon Induction

Pengcheng Yang, Fuli Luo, Peng Chen, Tianyu Liu, Xu Sun

Are Girls Neko or Shōjo? Cross-Lingual Alignment of Non-Isomorphic Embeddings with Iterative Normalization

Mozhi Zhang, Keyulu Xu, Ken-Ichi Kawarabayashi, Stefanie Jegelka, Jordan Boyd-Graber

Improving Low-Resource Cross-lingual Document Retrieval by Reranking with Deep Bilingual Representations

Rui Zhang, Caitlin Westerfield, Sungrok Shim, Garrett Bingham, Alexander Fabbri

Zero-Shot Cross-Lingual Abstractive Sentence Summarization through Teaching Generation and Attention

Xiangyu Duan, Mingming Yin, Min Zhang, Boxing Chen, Weihua Luo

Cross-lingual Knowledge Graph Alignment via Graph Matching Neural Network

Kun Xu, Liwei Wang, Mo Yu, Yansong Feng, Yan Song

Neural Decipherment via Minimum-Cost Flow: From Ugaritic to Linear B

Jiaming Luo, Yuan Cao, Regina Barzilay

CogNet: A Large-Scale Cognate Database

Khuyagbaatar Batsuren, Gabor Bella, Fausto Giunchiglia

Choosing Transfer Languages for Cross-Lingual Learning

Yu-Hsiang Lin, Chian-Yu Chen, Jean Lee, Zirui Li, Yuyan Zhang

Unsupervised Multilingual Word Embedding with Limited Resources using Neural Language Models

Takashi Wada, Tomoharu Iwata, Yuji Matsumoto

Multi-Source Cross-Lingual Model Transfer: Learning What to Share

Xilun Chen, Ahmed Hassan Awadallah, Hany Hassan, Wei Wang, Claire Cardie

Lattice-Based Transformer Encoder for Neural Machine Translation

Fengshun Xiao, Jiangtong Li, Hai Zhao, Rui Wang, Kehai Chen

Multilingual Unsupervised NMT using Shared Encoder and Language-Specific Decoders

Sukanta Sen, Kamal Kumar Gupta, Asif Ekbal, Pushpak Bhattacharyya

Sentence-Level Agreement for Neural Machine Translation

Mingming Yang, Rui Wang, Kehai Chen, Masao Utiyama, Eiichiro Sumita

Leveraging Local and Global Patterns for Self-Attention Networks

Mingzhou Xu, Derek F. Wong, Baosong Yang, Yue Zhang, Lidia S. Chao

Training Neural Machine Translation to Apply Terminology Constraints

Georgiana Dinu, Prashant Mathur, Marcello Federico, Yaser Al-Onaizan

Translating Translationese: A Two-Step Approach to Unsupervised Machine Translation

Nima Pourdamghani, Nada Aldarrab, Marjan Ghazvininejad, Kevin Knight, Jonathan May

A Simple and Effective Approach to Automatic Post-Editing with Transfer Learning

Gonçalo M. Correia, André F. T. Martins

Robust Neural Machine Translation with Joint Textual and Phonetic Embedding

Hairong Liu, Mingbo Ma, Liang Huang, Hao Xiong, Zhongjun He

Look Harder: A Neural Machine Translation Model with Hard Attention

Sathish Reddy Indurthi, Insoo Chung, Sangha Kim

STACL: Simultaneous Translation with Implicit Anticipation and Controllable Latency using Prefix-to-Prefix Framework

Mingbo Ma, Liang Huang, Hao Xiong, Renjie Zheng, Kaibo Liu

Retrieving Sequential Information for Non-Autoregressive Neural Machine Translation

Chenze Shao, Yang Feng, Jinchao Zhang, Fandong Meng, Xilin Chen

Reference Network for Neural Machine Translation

Han Fu, Chenghao Liu, Jianling Sun

Domain Adaptation of Neural Machine Translation by Lexicon Induction

Junjie Hu, Mengzhou Xia, Graham Neubig, Jaime Carbonell

Transformer-XL: Attentive Language Models beyond a Fixed-Length Context

Zihang Dai, Zhilin Yang, Yiming Yang, Jaime Carbonell, Quoc Le

Interpretable Neural Predictions with Differentiable Binary Variables

Jasmijn Bastings, Wilker Aziz, Ivan Titov

Correlating Neural and Symbolic Representations of Language

Grzegorz Chrupała, Afra Alishahi

Is Attention Interpretable?

Sofia Serrano, Noah A. Smith

FIESTA: Fast IdEntification of State-of-The-Art models using adaptive bandit algorithms

Henry Moss, Andrew Moore, David Leslie, Paul Rayson

Fine-Grained Temporal Relation Extraction

Siddharth Vashishtha, Benjamin Van Durme, Aaron Steven White

Matching the Blanks: Distributional Similarity for Relation Learning

Livio Baldini Soares, Nicholas FitzGerald, Jeffrey Ling, Tom Kwiatkowski

Weize Chen, Hao Zhu, Xu Han, Zhiyuan Liu, Maosong Sun

Multi-Level Matching and Aggregation Network for Few-Shot Relation Classification

Zhi-Xiu Ye, Zhen-Hua Ling

Open Domain Event Extraction Using Neural Latent Variable Models

Xiao Liu, Heyan Huang, Yue Zhang

Exploring Author Context for Detecting Intended vs Perceived Sarcasm

Silviu Oprea, Walid Magdy

Analyzing Linguistic Differences between Owner and Staff Attributed Tweets

Daniel Preoţiuc-Pietro, Rita Devlin Marier

Who Sides with Whom? Towards Computational Construction of Discourse Networks for Political Debates

Sebastian Padó, Andre Blessing, Nico Blokker, Erenay Dayanik, Sebastian Haunss

Categorizing and Inferring the Relationship between the Text and Image of Twitter Posts

Alakananda Vempala, Daniel Preoţiuc-Pietro