Papers
Everything Happens for a Reason: Discovering the Purpose of Actions in Procedural Text
Bhavana Dalvi, Niket Tandon, Antoine Bosselut et al.
Examining Gender Bias in Languages with Grammatical Gender
Pei Zhou, Weijia Shi, Jieyu Zhao et al.
Executing Instructions in Situated Collaborative Interactions
Alane Suhr, Claudia Yan, Jack Schluger et al.
Experimenting with Power Divergences for Language Modeling
Matthieu Labeau, Shay B. Cohen
Explicit Cross-lingual Pre-training for Unsupervised Machine Translation
Shuo Ren, Yu Wu, Shujie Liu et al.
Exploiting Monolingual Data at Scale for Neural Machine Translation
Lijun Wu, Yiren Wang, Yingce Xia et al.
Exploiting Multilingualism through Multistage Fine-Tuning for Low-Resource Neural Machine Translation
Raj Dabre, Atsushi Fujita, Chenhui Chu
Exploring Diverse Expressions for Paraphrase Generation
Lihua Qian, Lin Qiu, Weinan Zhang et al.
Exploring Human Gender Stereotypes with Word Association Test
Yupei Du, Yuanbin Wu, Man Lan
Extracting Possessions from Social Media: Images Complement Language
Dhivya Chinnappa, Srikala Murugan, Eduardo Blanco
Extractive Summarization of Long Documents by Combining Global and Local Context
Wen Xiao, Giuseppe Carenini
Fact-Checking Meets Fauxtography: Verifying Claims About Images
Dimitrina Zlatkova, Preslav Nakov, Ivan Koychev
FAMULUS: Interactive Annotation and Feedback Generation for Teaching Diagnostic Reasoning
Jonas Pfeiffer, Christian M. Meyer, Claudia Schulz et al.
Feature2Vec: Distributional semantic modelling of human property knowledge
Steven Derby, Paul Miller, Barry Devereux
Feature-Dependent Confusion Matrices for Low-Resource NER Labeling with Noisy Labels
Lukas Lange, Michael A. Hedderich, Dietrich Klakow
FewRel 2.0: Towards More Challenging Few-Shot Relation Classification
Tianyu Gao, Xu Han, Hao Zhu et al.
Finding Generalizable Evidence by Learning to Convince Q&A Models
Ethan Perez, Siddharth Karamcheti, Rob Fergus et al.
Finding Microaggressions in the Wild: A Case for Locating Elusive Phenomena in Social Media Posts
Luke Breitfeller, Emily Ahn, David Jurgens et al.
Fine-Grained Analysis of Propaganda in News Articles
Giovanni Da San Martino, Seunghak Yu, Alberto Barrón-Cedeño et al.
Fine-Grained Entity Typing via Hierarchical Multi Graph Convolutional Networks
Hailong Jin, Lei Hou, Juanzi Li et al.
Fine-Grained Evaluation for Entity Linking
Henry Rosales-Méndez, Aidan Hogan, Barbara Poblete
Fine-grained Knowledge Fusion for Sequence Labeling Domain Adaptation
Huiyun Yang, Shujian Huang, Xin-Yu Dai et al.
Fine-tune BERT with Sparse Self-Attention Mechanism
Baiyun Cui, Yingming Li, Ming Chen et al.
FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow
Xuezhe Ma, Chunting Zhou, Xian Li et al.
From the Token to the Review: A Hierarchical Multimodal approach to Opinion Mining
Alexandre Garcia, Pierre Colombo, Florence d’Alché-Buc et al.