Papers
Post-Hoc Interpretation of Transformer Hyperparameters with Explainable Boosting Machines
Kiron Deb, Xuan Zhang, Kevin Duh
POTATO: The Portable Text Annotation Tool
Jiaxin Pei, Aparna Ananthasubramaniam, Xingyao Wang et al.
Practical Benefits of Feature Feedback Under Distribution Shift
Anurag Katakkar, Clay H. Yoo, Weiqin Wang et al.
Precisely the Point: Adversarial Augmentations for Faithful and Informative Text Generation
Wenhao Wu, Wei Li, Jiachen Liu et al.
Predicting Fine-Tuning Performance with Probing
Zining Zhu, Soroosh Shahtalebi, Frank Rudzicz
Predicting Long-Term Citations from Short-Term Linguistic Influence
Sandeep Soni, David Bamman, Jacob Eisenstein
Predicting Prerequisite Relations for Unseen Concepts
Yaxin Zhu, Hamed Zamani
PreQuEL: Quality Estimation of Machine Translation Outputs in Advance
Shachar Don-Yehiya, Leshem Choshen, Omri Abend
PresiUniv at TSAR-2022 Shared Task: Generation and Ranking of Simplification Substitutes of Complex Words in Multiple Languages
Peniel Whistely, Sandeep Mathias, Galiveeti Poornima
Pre-training Language Models with Deterministic Factual Knowledge
Shaobo Li, Xiaoguang Li, Lifeng Shang et al.
Pre-training Transformer Models with Sentence-Level Objectives for Answer Sentence Selection
Luca Di Liello, Siddhant Garg, Luca Soldaini et al.
PRHLT’s Submission to WLAC 2022
Angel Navarro, Miguel Domingo, Francisco Casacuberta
PRINCE: Prefix-Masked Decoding for Knowledge Enhanced Sequence-to-Sequence Pre-Training
Song Xu, Haoran Li, Peng Yuan et al.
Privacy Pitfalls of Online Service Terms and Conditions: a Hybrid Approach for Classification and Summarization
Emilia Lukose, Suparna De, Jon Johnson
Privacy-Preserving Models for Legal Natural Language Processing
Ying Yin, Ivan Habernal
Probing Cross-modal Semantics Alignment Capability from the Textual Perspective
Zheng Ma, Shi Zong, Mianzhi Pan et al.
Probing for Constituency Structure in Neural Language Models
David Arps, Younes Samih, Laura Kallmeyer et al.
Probing for Incremental Parse States in Autoregressive Language Models
Tiwalayo Eisape, Vineet Gangireddy, Roger Levy et al.
Probing for targeted syntactic knowledge through grammatical error detection
Christopher Davis, Christopher Bryant, Andrew Caines et al.
Probing for Understanding of English Verb Classes and Alternations in Large Pre-trained Language Models
David Yi, James Bruno, Jiayu Han et al.
Probing GPT-3’s Linguistic Knowledge on Semantic Tasks
Lining Zhang, Mengchen Wang, Liben Chen et al.
Probing Pretrained Models of Source Codes
Sergey Troshin, Nadezhda Chirkova
Probing Relational Knowledge in Language Models via Word Analogies
Kiamehr Rezaee, Jose Camacho-Collados
Probing Script Knowledge from Pre-Trained Models
Zijia Jin, Xingyu Zhang, Mo Yu et al.
Probing Structural Knowledge from Pre-trained Language Model for Argumentation Relation Classification
Yang Sun, Bin Liang, Jianzhu Bao et al.