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ACL 2020

1,239 papers

Discrete Latent Variable Representations for Low-Resource Text Classification

Shuning Jin, Sam Wiseman, Karl Stratos, Karen Livescu

On the Spontaneous Emergence of Discrete and Compositional Signals

Nur Geffen Lan, Emmanuel Chemla, Shane Steinert-Threlkeld

Learning to Deceive with Attention-Based Explanations

Danish Pruthi, Mansi Gupta, Bhuwan Dhingra, Graham Neubig, Zachary C. Lipton

Influence Paths for Characterizing Subject-Verb Number Agreement in LSTM Language Models

Kaiji Lu, Piotr Mardziel, Klas Leino, Matt Fredrikson, Anupam Datta

Don’t Say That! Making Inconsistent Dialogue Unlikely with Unlikelihood Training

Margaret Li, Stephen Roller, Ilia Kulikov, Sean Welleck, Y-lan Boureau

CraftAssist Instruction Parsing: Semantic Parsing for a Voxel-World Assistant

Kavya Srinet, Yacine Jernite, Jonathan Gray, arthur szlam

Modeling Label Semantics for Predicting Emotional Reactions

Radhika Gaonkar, Heeyoung Kwon, Mohaddeseh Bastan, Niranjan Balasubramanian, Nathanael Chambers

Fatality Killed the Cat or: BabelPic, a Multimodal Dataset for Non-Concrete Concepts

Agostina Calabrese, Michele Bevilacqua, Roberto Navigli

ASSET: A Dataset for Tuning and Evaluation of Sentence Simplification Models with Multiple Rewriting Transformations

Fernando Alva-Manchego, Louis Martin, Antoine Bordes, Carolina Scarton, Benoît Sagot

SenseBERT: Driving Some Sense into BERT

Yoav Levine, Barak Lenz, Or Dagan, Ori Ram, Dan Padnos

Similarity Analysis of Contextual Word Representation Models

John Wu, Yonatan Belinkov, Hassan Sajjad, Nadir Durrani, Fahim Dalvi

On the Cross-lingual Transferability of Monolingual Representations

Mikel Artetxe, Sebastian Ruder, Dani Yogatama

Information-Theoretic Probing for Linguistic Structure

Tiago Pimentel, Josef Valvoda, Rowan Hall Maudslay, Ran Zmigrod, Adina Williams

Human Attention Maps for Text Classification: Do Humans and Neural Networks Focus on the Same Words?

Cansu Sen, Thomas Hartvigsen, Biao Yin, Xiangnan Kong, Elke Rundensteiner

Toward Gender-Inclusive Coreference Resolution

Yang Trista Cao, Hal Daume III

ParaCrawl: Web-Scale Acquisition of Parallel Corpora

Marta Bañón, Pinzhen Chen, Barry Haddow, Kenneth Heafield, Hieu Hoang

A Corpus for Large-Scale Phonetic Typology

Elizabeth Salesky, Eleanor Chodroff, Tiago Pimentel, Matthew Wiesner, Ryan Cotterell

Template-Based Question Generation from Retrieved Sentences for Improved Unsupervised Question Answering

Alexander Fabbri, Patrick Ng, Zhiguo Wang, Ramesh Nallapati, Bing Xiang

DeFormer: Decomposing Pre-trained Transformers for Faster Question Answering

Qingqing Cao, Harsh Trivedi, Aruna Balasubramanian, Niranjan Balasubramanian

Clinical Reading Comprehension: A Thorough Analysis of the emrQA Dataset

Xiang Yue, Bernal Jiménez Gutiérrez, Huan Sun

Learning to Faithfully Rationalize by Construction

Sarthak Jain, Sarah Wiegreffe, Yuval Pinter, Byron C. Wallace

ERASER: A Benchmark to Evaluate Rationalized NLP Models

Jay DeYoung, Sarthak Jain, Nazneen Fatema Rajani, Eric Lehman, Caiming Xiong

Compositionality and Generalization In Emergent Languages

Rahma Chaabouni, Eugene Kharitonov, Diane Bouchacourt, Emmanuel Dupoux, Marco Baroni

Analyzing Political Parody in Social Media

Antonis Maronikolakis, Danae Sánchez Villegas, Daniel Preoţiuc-Pietro, Nikolaos Aletras

Towards Emotion-aided Multi-modal Dialogue Act Classification

Tulika Saha, Aditya Patra, Sriparna Saha, Pushpak Bhattacharyya

Target Inference in Argument Conclusion Generation

Milad Alshomary, Shahbaz Syed, Martin Potthast, Henning Wachsmuth

TaPas: Weakly Supervised Table Parsing via Pre-training

Jonathan Herzig, Pawel Krzysztof Nowak, Thomas Müller, Francesco Piccinno, Julian Eisenschlos

AMR Parsing with Latent Structural Information

Qiji Zhou, Yue Zhang, Donghong Ji, Hao Tang

Toxicity Detection: Does Context Really Matter?

John Pavlopoulos, Jeffrey Sorensen, Lucas Dixon, Nithum Thain, Ion Androutsopoulos

Joint Modelling of Emotion and Abusive Language Detection

Santhosh Rajamanickam, Pushkar Mishra, Helen Yannakoudakis, Ekaterina Shutova

Graph Neural News Recommendation with Unsupervised Preference Disentanglement

Linmei Hu, Siyong Xu, Chen Li, Cheng Yang, Chuan Shi

Empowering Active Learning to Jointly Optimize System and User Demands

Ji-Ung Lee, Christian M. Meyer, Iryna Gurevych

Tchebycheff Procedure for Multi-task Text Classification

Yuren Mao, Shuang Yun, Weiwei Liu, Bo Du

Towards Transparent and Explainable Attention Models

Akash Kumar Mohankumar, Preksha Nema, Sharan Narasimhan, Mitesh M. Khapra, Balaji Vasan Srinivasan

Quantifying Attention Flow in Transformers

Samira Abnar, Willem Zuidema

Probing for Referential Information in Language Models

Ionut-Teodor Sorodoc, Kristina Gulordava, Gemma Boleda

Make Up Your Mind! Adversarial Generation of Inconsistent Natural Language Explanations

Oana-Maria Camburu, Brendan Shillingford, Pasquale Minervini, Thomas Lukasiewicz, Phil Blunsom

Max-Margin Incremental CCG Parsing

Miloš Stanojević, Mark Steedman

Enriched In-Order Linearization for Faster Sequence-to-Sequence Constituent Parsing

Daniel Fernández-González, Carlos Gómez-Rodríguez

Do Neural Language Models Show Preferences for Syntactic Formalisms?

Artur Kulmizev, Vinit Ravishankar, Mostafa Abdou, Joakim Nivre

SKEP: Sentiment Knowledge Enhanced Pre-training for Sentiment Analysis

Hao Tian, Can Gao, Xinyan Xiao, Hao Liu, Bolei He

He said “who’s gonna take care of your children when you are at ACL?”: Reported Sexist Acts are Not Sexist

Patricia Chiril, Véronique Moriceau, Farah Benamara, Alda Mari, Gloria Origgi

GoEmotions: A Dataset of Fine-Grained Emotions

Dorottya Demszky, Dana Movshovitz-Attias, Jeongwoo Ko, Alan Cowen, Gaurav Nemade

From Arguments to Key Points: Towards Automatic Argument Summarization

Roy Bar-Haim, Lilach Eden, Roni Friedman, Yoav Kantor, Dan Lahav

Adversarial and Domain-Aware BERT for Cross-Domain Sentiment Analysis

Chunning Du, Haifeng Sun, Jingyu Wang, Qi Qi, Jianxin Liao

Autoencoding Keyword Correlation Graph for Document Clustering

Billy Chiu, Sunil Kumar Sahu, Derek Thomas, Neha Sengupta, Mohammady Mahdy

Analysing Lexical Semantic Change with Contextualised Word Representations

Mario Giulianelli, Marco Del Tredici, Raquel Fernández

Adaptive Compression of Word Embeddings

Yeachan Kim, Kang-Min Kim, SangKeun Lee

An Effectiveness Metric for Ordinal Classification: Formal Properties and Experimental Results

Enrique Amigo, Julio Gonzalo, Stefano Mizzaro, Jorge Carrillo-de-Albornoz

Graph-to-Tree Learning for Solving Math Word Problems

Jipeng Zhang, Lei Wang, Roy Ka-Wei Lee, Yi Bin, Yan Wang

A Self-Training Method for Machine Reading Comprehension with Soft Evidence Extraction

Yilin Niu, Fangkai Jiao, Mantong Zhou, Ting Yao, Jingfang Xu

Selecting Backtranslated Data from Multiple Sources for Improved Neural Machine Translation

Xabier Soto, Dimitar Shterionov, Alberto Poncelas, Andy Way

SEEK: Segmented Embedding of Knowledge Graphs

Wentao Xu, Shun Zheng, Liang He, Bin Shao, Jian Yin

Pre-training Is (Almost) All You Need: An Application to Commonsense Reasoning

Alexandre Tamborrino, Nicola Pellicanò, Baptiste Pannier, Pascal Voitot, Louise Naudin

Bayesian Hierarchical Words Representation Learning

Oren Barkan, Idan Rejwan, Avi Caciularu, Noam Koenigstein

Learning Implicit Text Generation via Feature Matching

Inkit Padhi, Pierre Dognin, Ke Bai, Cicero Nogueira dos Santos, Vijil Chenthamarakshan

It Takes Two to Lie: One to Lie, and One to Listen

Denis Peskov, Benny Cheng, Ahmed Elgohary, Joe Barrow, Cristian Danescu-Niculescu-Mizil

SimulSpeech: End-to-End Simultaneous Speech to Text Translation

Yi Ren, Jinglin Liu, Xu Tan, Chen Zhang, Tao Qin

Meta-Transfer Learning for Code-Switched Speech Recognition

Genta Indra Winata, Samuel Cahyawijaya, Zhaojiang Lin, Zihan Liu, Peng Xu

Curriculum Pre-training for End-to-End Speech Translation

Chengyi Wang, Yu Wu, Shujie LIU, Ming Zhou, Zhenglu Yang

Transition-based Directed Graph Construction for Emotion-Cause Pair Extraction

Chuang Fan, Chaofa Yuan, Jiachen Du, Lin Gui, Min Yang