Papers
Posterior Control of Blackbox Generation
Xiang Lisa Li, Alexander Rush
Predicting and Analyzing Law-Making in Kenya
Oyinlola Babafemi, Adewale Akinfaderin
2020
ACL
Predicting Declension Class from Form and Meaning
Adina Williams, Tiago Pimentel, Hagen Blix et al.
Predicting Degrees of Technicality in Automatic Terminology Extraction
Anna Hätty, Dominik Schlechtweg, Michael Dorna et al.
Predicting Depression in Screening Interviews from Latent Categorization of Interview Prompts
Alex Rinaldi, Jean Fox Tree, Snigdha Chaturvedi
Predicting Performance for Natural Language Processing Tasks
Mengzhou Xia, Antonios Anastasopoulos, Ruochen Xu et al.
Predicting the Difficulty and Response Time of Multiple Choice Questions Using Transfer Learning
Kang Xue, Victoria Yaneva, Christopher Runyon et al.
Predicting the Focus of Negation: Model and Error Analysis
Md Mosharaf Hossain, Kathleen Hamilton, Alexis Palmer et al.
Predicting the Growth of Morphological Families from Social and Linguistic Factors
Valentin Hofmann, Janet Pierrehumbert, Hinrich Schütze
Predicting the Topical Stance and Political Leaning of Media using Tweets
Peter Stefanov, Kareem Darwish, Atanas Atanasov et al.
Predictive Biases in Natural Language Processing Models: A Conceptual Framework and Overview
Deven Santosh Shah, H. Andrew Schwartz, Dirk Hovy
Premise Selection in Natural Language Mathematical Texts
Deborah Ferreira, André Freitas
Pre-train and Plug-in: Flexible Conditional Text Generation with Variational Auto-Encoders
Yu Duan, Canwen Xu, Jiaxin Pei et al.
Pretrained Transformers Improve Out-of-Distribution Robustness
Dan Hendrycks, Xiaoyuan Liu, Eric Wallace et al.
Pre-training Is (Almost) All You Need: An Application to Commonsense Reasoning
Alexandre Tamborrino, Nicola Pellicanò, Baptiste Pannier et al.
Pre-training via Leveraging Assisting Languages for Neural Machine Translation
Haiyue Song, Raj Dabre, Zhuoyuan Mao et al.
Pretraining with Contrastive Sentence Objectives Improves Discourse Performance of Language Models
Dan Iter, Kelvin Guu, Larry Lansing et al.
Preventing Critical Scoring Errors in Short Answer Scoring with Confidence Estimation
Hiroaki Funayama, Shota Sasaki, Yuichiroh Matsubayashi et al.
Probabilistically Masked Language Model Capable of Autoregressive Generation in Arbitrary Word Order
Yi Liao, Xin Jiang, Qun Liu
Probabilistic Assumptions Matter: Improved Models for Distantly-Supervised Document-Level Question Answering
Hao Cheng, Ming-Wei Chang, Kenton Lee et al.
Probing for Referential Information in Language Models
Ionut-Teodor Sorodoc, Kristina Gulordava, Gemma Boleda
Probing Linguistic Features of Sentence-Level Representations in Neural Relation Extraction
Christoph Alt, Aleksandra Gabryszak, Leonhard Hennig
Probing Linguistic Systematicity
Emily Goodwin, Koustuv Sinha, Timothy J. O’Donnell
Probing Neural Dialog Models for Conversational Understanding
Abdelrhman Saleh, Tovly Deutsch, Stephen Casper et al.
Programming in Natural Language with fuSE: Synthesizing Methods from Spoken Utterances Using Deep Natural Language Understanding
Sebastian Weigelt, Vanessa Steurer, Tobias Hey et al.