Papers
PeTra: A Sparsely Supervised Memory Model for People Tracking
Shubham Toshniwal, Allyson Ettinger, Kevin Gimpel et al.
Implicit Discourse Relation Classification: We Need to Talk about Evaluation
Najoung Kim, Song Feng, Chulaka Gunasekara et al.
Harnessing the linguistic signal to predict scalar inferences
Sebastian Schuster, Yuxing Chen, Judith Degen
Discourse as a Function of Event: Profiling Discourse Structure in News Articles around the Main Event
Prafulla Kumar Choubey, Aaron Lee, Ruihong Huang et al.
Would you Rather? A New Benchmark for Learning Machine Alignment with Cultural Values and Social Preferences
Yi Tay, Donovan Ong, Jie Fu et al.
Understanding the Language of Political Agreement and Disagreement in Legislative Texts
Maryam Davoodi, Eric Waltenburg, Dan Goldwasser
Text-Based Ideal Points
Keyon Vafa, Suresh Naidu, David Blei
Text and Causal Inference: A Review of Using Text to Remove Confounding from Causal Estimates
Katherine Keith, David Jensen, Brendan O’Connor
Measuring Forecasting Skill from Text
Shi Zong, Alan Ritter, Eduard Hovy
Hierarchical Modeling for User Personality Prediction: The Role of Message-Level Attention
Veronica Lynn, Niranjan Balasubramanian, H. Andrew Schwartz
Detecting Perceived Emotions in Hurricane Disasters
Shrey Desai, Cornelia Caragea, Junyi Jessy Li
Balancing Objectives in Counseling Conversations: Advancing Forwards or Looking Backwards
Justine Zhang, Cristian Danescu-Niculescu-Mizil
What Does BERT with Vision Look At?
Liunian Harold Li, Mark Yatskar, Da Yin et al.
Predictive Biases in Natural Language Processing Models: A Conceptual Framework and Overview
Deven Santosh Shah, H. Andrew Schwartz, Dirk Hovy
Intermediate-Task Transfer Learning with Pretrained Language Models: When and Why Does It Work?
Yada Pruksachatkun, Jason Phang, Haokun Liu et al.
How Does NLP Benefit Legal System: A Summary of Legal Artificial Intelligence
Haoxi Zhong, Chaojun Xiao, Cunchao Tu et al.
Examining Citations of Natural Language Processing Literature
Saif M. Mohammad
Climbing towards NLU: On Meaning, Form, and Understanding in the Age of Data
Emily M. Bender, Alexander Koller
(Re)construing Meaning in NLP
Sean Trott, Tiago Timponi Torrent, Nancy Chang et al.
Unsupervised Opinion Summarization as Copycat-Review Generation
Arthur Bražinskas, Mirella Lapata, Ivan Titov
The Summary Loop: Learning to Write Abstractive Summaries Without Examples
Philippe Laban, Andrew Hsi, John Canny et al.
Storytelling with Dialogue: A Critical Role Dungeons and Dragons Dataset
Revanth Rameshkumar, Peter Bailey
Optimizing the Factual Correctness of a Summary: A Study of Summarizing Radiology Reports
Yuhao Zhang, Derek Merck, Emily Tsai et al.
Knowledge Graph-Augmented Abstractive Summarization with Semantic-Driven Cloze Reward
Luyang Huang, Lingfei Wu, Lu Wang