ACL 2019

1,448 papers

CONAN - COunter NArratives through Nichesourcing: a Multilingual Dataset of Responses to Fight Online Hate Speech

Yi-Ling Chung, Elizaveta Kuzmenko, Serra Sinem Tekiroglu, Marco Guerini

Joint Effects of Context and User History for Predicting Online Conversation Re-entries

Xingshan Zeng, Jing Li, Lu Wang, Kam-Fai Wong

Putting Evaluation in Context: Contextual Embeddings Improve Machine Translation Evaluation

Nitika Mathur, Timothy Baldwin, Trevor Cohn

Aiming beyond the Obvious: Identifying Non-Obvious Cases in Semantic Similarity Datasets

Nicole Peinelt, Maria Liakata, Dong Nguyen

We Need to Talk about Standard Splits

Kyle Gorman, Steven Bedrick

Deep Dominance - How to Properly Compare Deep Neural Models

Rotem Dror, Segev Shlomov, Roi Reichart

Analysis of Automatic Annotation Suggestions for Hard Discourse-Level Tasks in Expert Domains

Claudia Schulz, Christian M. Meyer, Jan Kiesewetter, Michael Sailer, Elisabeth Bauer

Sentence Mover’s Similarity: Automatic Evaluation for Multi-Sentence Texts

Elizabeth Clark, Asli Celikyilmaz, Noah A. Smith

Exploiting Explicit Paths for Multi-hop Reading Comprehension

Souvik Kundu, Tushar Khot, Ashish Sabharwal, Peter Clark

Avoiding Reasoning Shortcuts: Adversarial Evaluation, Training, and Model Development for Multi-Hop QA

Yichen Jiang, Mohit Bansal

Explore, Propose, and Assemble: An Interpretable Model for Multi-Hop Reading Comprehension

Yichen Jiang, Nitish Joshi, Yen-Chun Chen, Mohit Bansal

Multi-hop Reading Comprehension across Multiple Documents by Reasoning over Heterogeneous Graphs

Ming Tu, Guangtao Wang, Jing Huang, Yun Tang, Xiaodong He

Cognitive Graph for Multi-Hop Reading Comprehension at Scale

Ming Ding, Chang Zhou, Qibin Chen, Hongxia Yang, Jie Tang

A Working Memory Model for Task-oriented Dialog Response Generation

Xiuyi Chen, Jiaming Xu, Bo Xu

Cross-Modal Commentator: Automatic Machine Commenting Based on Cross-Modal Information

Pengcheng Yang, Zhihan Zhang, Fuli Luo, Lei Li, Chengyang Huang

A Simple Recipe towards Reducing Hallucination in Neural Surface Realisation

Feng Nie, Jin-ge Yao, Jinpeng Wang, Rong Pan, Chin-Yew Lin

Argument Generation with Retrieval, Planning, and Realization

Xinyu Hua, Zhe Hu, Lu Wang

Strategies for Structuring Story Generation

Angela Fan, Mike Lewis, Yann Dauphin

Domain Adaptive Dialog Generation via Meta Learning

Kun Qian, Zhou Yu

Twitter Homophily: Network Based Prediction of User’s Occupation

Jiaqi Pan, Rishabh Bhardwaj, Wei Lu, Hai Leong Chieu, Xinghao Pan

Enhancing Air Quality Prediction with Social Media and Natural Language Processing

Jyun-Yu Jiang, Xue Sun, Wei Wang, Sean Young

Dataset Creation for Ranking Constructive News Comments

Soichiro Fujita, Hayato Kobayashi, Manabu Okumura

Celebrity Profiling

Matti Wiegmann, Benno Stein, Martin Potthast

Fine-Grained Spoiler Detection from Large-Scale Review Corpora

Mengting Wan, Rishabh Misra, Ndapa Nakashole, Julian McAuley

Encoding Social Information with Graph Convolutional Networks forPolitical Perspective Detection in News Media

Chang Li, Dan Goldwasser

You Write like You Eat: Stylistic Variation as a Predictor of Social Stratification

Angelo Basile, Albert Gatt, Malvina Nissim

Predicting Human Activities from User-Generated Content

Steven Wilson, Rada Mihalcea

Sentence-Level Evidence Embedding for Claim Verification with Hierarchical Attention Networks

Jing Ma, Wei Gao, Shafiq Joty, Kam-Fai Wong

Entity-Centric Contextual Affective Analysis

Anjalie Field, Yulia Tsvetkov

Multi-task Pairwise Neural Ranking for Hashtag Segmentation

Mounica Maddela, Wei Xu, Daniel Preoţiuc-Pietro

#YouToo? Detection of Personal Recollections of Sexual Harassment on Social Media

Arijit Ghosh Chowdhury, Ramit Sawhney, Rajiv Ratn Shah, Debanjan Mahata

Topic-Aware Neural Keyphrase Generation for Social Media Language

Yue Wang, Jing Li, Hou Pong Chan, Irwin King, Michael R. Lyu

Multi-Modal Sarcasm Detection in Twitter with Hierarchical Fusion Model

Yitao Cai, Huiyu Cai, Xiaojun Wan

Wide-Coverage Neural A* Parsing for Minimalist Grammars

John Torr, Miloš Stanojević, Mark Steedman, Shay B. Cohen

Graph-based Dependency Parsing with Graph Neural Networks

Tao Ji, Yuanbin Wu, Man Lan

Cross-Domain NER using Cross-Domain Language Modeling

Chen Jia, xiaobo liang, Yue Zhang

Variance of Average Surprisal: A Better Predictor for Quality of Grammar from Unsupervised PCFG Induction

Lifeng Jin, William Schuler

Unsupervised Learning of PCFGs with Normalizing Flow

Lifeng Jin, Finale Doshi-velez, Timothy Miller, Lane Schwartz, William Schuler

GCDT: A Global Context Enhanced Deep Transition Architecture for Sequence Labeling

Yijin Liu, Fandong Meng, Jinchao Zhang, Jinan Xu, Yufeng Chen

Multi-Task Semantic Dependency Parsing with Policy Gradient for Learning Easy-First Strategies

Shuhei Kurita, Anders Søgaard

Distantly Supervised Named Entity Recognition using Positive-Unlabeled Learning

Minlong Peng, Xiaoyu Xing, Qi Zhang, Jinlan Fu, Xuanjing Huang

Head-Driven Phrase Structure Grammar Parsing on Penn Treebank

Junru Zhou, Hai Zhao

Semi-supervised Domain Adaptation for Dependency Parsing

Zhenghua Li, Xue Peng, Min Zhang, Rui Wang, Luo Si

Compound Probabilistic Context-Free Grammars for Grammar Induction

Yoon Kim, Chris Dyer, Alexander Rush

XQA: A Cross-lingual Open-domain Question Answering Dataset

Jiahua Liu, Yankai Lin, Zhiyuan Liu, Maosong Sun

Enhancing Pre-Trained Language Representations with Rich Knowledge for Machine Reading Comprehension

An Yang, Quan Wang, Jing Liu, Kai Liu, Yajuan Lyu

Answering while Summarizing: Multi-task Learning for Multi-hop QA with Evidence Extraction

Kosuke Nishida, Kyosuke Nishida, Masaaki Nagata, Atsushi Otsuka, Itsumi Saito

Generating Question-Answer Hierarchies

Kalpesh Krishna, Mohit Iyyer

E3: Entailment-driven Extracting and Editing for Conversational Machine Reading

Victor Zhong, Luke Zettlemoyer

Multi-Hop Paragraph Retrieval for Open-Domain Question Answering

Yair Feldman, Ran El-Yaniv

Retrieve, Read, Rerank: Towards End-to-End Multi-Document Reading Comprehension

Minghao Hu, Yuxing Peng, Zhen Huang, Dongsheng Li

Multi-style Generative Reading Comprehension

Kyosuke Nishida, Itsumi Saito, Kosuke Nishida, Kazutoshi Shinoda, Atsushi Otsuka

Explicit Utilization of General Knowledge in Machine Reading Comprehension

Chao Wang, Hui Jiang

Token-level Dynamic Self-Attention Network for Multi-Passage Reading Comprehension

Yimeng Zhuang, Huadong Wang

Inferential Machine Comprehension: Answering Questions by Recursively Deducing the Evidence Chain from Text

Jianxing Yu, Zhengjun Zha, Jian Yin

Unsupervised Rewriter for Multi-Sentence Compression

Yang Zhao, Xiaoyu Shen, Wei Bi, Akiko Aizawa

On the Summarization of Consumer Health Questions

Asma Ben Abacha, Dina Demner-Fushman

Self-Supervised Learning for Contextualized Extractive Summarization

Hong Wang, Xin Wang, Wenhan Xiong, Mo Yu, Xiaoxiao Guo

Ranking Generated Summaries by Correctness: An Interesting but Challenging Application for Natural Language Inference

Tobias Falke, Leonardo F. R. Ribeiro, Prasetya Ajie Utama, Ido Dagan, Iryna Gurevych

BIGPATENT: A Large-Scale Dataset for Abstractive and Coherent Summarization

Eva Sharma, Chen Li, Lu Wang

Adversarial Domain Adaptation Using Artificial Titles for Abstractive Title Generation

Francine Chen, Yan-Ying Chen

Keep Meeting Summaries on Topic: Abstractive Multi-Modal Meeting Summarization

Manling Li, Lingyu Zhang, Heng Ji, Richard J. Radke

Scoring Sentence Singletons and Pairs for Abstractive Summarization

Logan Lebanoff, Kaiqiang Song, Franck Dernoncourt, Doo Soon Kim, Seokhwan Kim

Neural Keyphrase Generation via Reinforcement Learning with Adaptive Rewards

Hou Pong Chan, Wang Chen, Lu Wang, Irwin King

BiSET: Bi-directional Selective Encoding with Template for Abstractive Summarization

Kai Wang, Xiaojun Quan, Rui Wang

Unsupervised Neural Single-Document Summarization of Reviews via Learning Latent Discourse Structure and its Ranking

Masaru Isonuma, Junichiro Mori, Ichiro Sakata

Improving Abstractive Document Summarization with Salient Information Modeling

Yongjian You, Weijia Jia, Tianyi Liu, Wenmian Yang

TalkSumm: A Dataset and Scalable Annotation Method for Scientific Paper Summarization Based on Conference Talks

Guy Lev, Michal Shmueli-Scheuer, Jonathan Herzig, Achiya Jerbi, David Konopnicki

Reinforced Dynamic Reasoning for Conversational Question Generation

Boyuan Pan, Hao Li, Ziyu Yao, Deng Cai, Huan Sun

Learning to Select, Track, and Generate for Data-to-Text

Hayate Iso, Yui Uehara, Tatsuya Ishigaki, Hiroshi Noji, Eiji Aramaki

Jointly Learning Semantic Parser and Natural Language Generator via Dual Information Maximization

Hai Ye, Wenjie Li, Lu Wang

Towards Generating Long and Coherent Text with Multi-Level Latent Variable Models

Dinghan Shen, Asli Celikyilmaz, Yizhe Zhang, Liqun Chen, Xin Wang

Syntax-Infused Variational Autoencoder for Text Generation

Xinyuan Zhang, Yi Yang, Siyang Yuan, Dinghan Shen, Lawrence Carin

Unsupervised Neural Text Simplification

Sai Surya, Abhijit Mishra, Anirban Laha, Parag Jain, Karthik Sankaranarayanan

Key Fact as Pivot: A Two-Stage Model for Low Resource Table-to-Text Generation

Shuming Ma, Pengcheng Yang, Tianyu Liu, Peng Li, Jie Zhou

Ensuring Readability and Data-fidelity using Head-modifier Templates in Deep Type Description Generation

Jiangjie Chen, Ao Wang, Haiyun Jiang, Suo Feng, Chenguang Li

Data-to-text Generation with Entity Modeling

Ratish Puduppully, Li Dong, Mirella Lapata

Towards Fine-grained Text Sentiment Transfer

Fuli Luo, Peng Li, Pengcheng Yang, Jie Zhou, Yutong Tan

Enhancing Topic-to-Essay Generation with External Commonsense Knowledge

Pengcheng Yang, Lei Li, Fuli Luo, Tianyu Liu, Xu Sun

Rhetorically Controlled Encoder-Decoder for Modern Chinese Poetry Generation

Zhiqiang Liu, Zuohui Fu, Jie Cao, Gerard de Melo, Yik-cheung Tam

PaperRobot: Incremental Draft Generation of Scientific Ideas

Qingyun Wang, Lifu Huang, Zhiying Jiang, Kevin Knight, Heng Ji

Generating Long and Informative Reviews with Aspect-Aware Coarse-to-Fine Decoding

Junyi Li, Wayne Xin Zhao, Ji-Rong Wen, Yang Song

Reinforced Training Data Selection for Domain Adaptation

Miaofeng Liu, Yan Song, Hongbin Zou, Tong Zhang

Pre-Learning Environment Representations for Data-Efficient Neural Instruction Following

David Gaddy, Dan Klein

Boosting Entity Linking Performance by Leveraging Unlabeled Documents

Phong Le, Ivan Titov

Semi-supervised Stochastic Multi-Domain Learning using Variational Inference

Yitong Li, Timothy Baldwin, Trevor Cohn

Continual and Multi-Task Architecture Search

Ramakanth Pasunuru, Mohit Bansal

The PhotoBook Dataset: Building Common Ground through Visually-Grounded Dialogue

Janosch Haber, Tim Baumgärtner, Ece Takmaz, Lieke Gelderloos, Elia Bruni

Weakly-Supervised Spatio-Temporally Grounding Natural Sentence in Video

Zhenfang Chen, Lin Ma, Wenhan Luo, Kwan-Yee Kenneth Wong

Expressing Visual Relationships via Language

Hao Tan, Franck Dernoncourt, Zhe Lin, Trung Bui, Mohit Bansal

Stay on the Path: Instruction Fidelity in Vision-and-Language Navigation

Vihan Jain, Gabriel Magalhaes, Alexander Ku, Ashish Vaswani, Eugene Ie

Visually Grounded Neural Syntax Acquisition

Haoyue Shi, Jiayuan Mao, Kevin Gimpel, Karen Livescu

Exploring Phoneme-Level Speech Representations for End-to-End Speech Translation

Elizabeth Salesky, Matthias Sperber, Alan W Black

Self-Supervised Neural Machine Translation

Dana Ruiter, Cristina España-Bonet, Josef van Genabith

Generating Diverse Translations with Sentence Codes

Raphael Shu, Hideki Nakayama, Kyunghyun Cho

Learning Deep Transformer Models for Machine Translation

Qiang Wang, Bei Li, Tong Xiao, Jingbo Zhu, Changliang Li

Neural Fuzzy Repair: Integrating Fuzzy Matches into Neural Machine Translation

Bram Bulte, Arda Tezcan

Neural Machine Translation with Reordering Embeddings

Kehai Chen, Rui Wang, Masao Utiyama, Eiichiro Sumita

Adversarial Multitask Learning for Joint Multi-Feature and Multi-Dialect Morphological Modeling

Nasser Zalmout, Nizar Habash

Learning Morphosyntactic Analyzers from the Bible via Iterative Annotation Projection across 26 Languages

Garrett Nicolai, David Yarowsky