Crowdsourcing a High-Quality Gold Standard for QA-SRL. - Paul Roit; Ayal Klein; Daniela Stepanov; Jonathan Mamou; Julian Michael; Gabriel Stanovsky; Luke Zettlemoyer; Ido Dagan (CoRR, 2019)

Controlled Crowdsourcing for High-Quality QA-SRL Annotation. - Paul Roit; Ayal Klein; Daniela Stepanov; Jonathan Mamou; Julian Michael; Gabriel Stanovsky; Luke Zettlemoyer; Ido Dagan (ACL, 2020)

Asking It All: Generating Contextualized Questions for any Semantic Role. - Valentina Pyatkin; Paul Roit; Julian Michael; Yoav Goldberg; Reut Tsarfaty; Ido Dagan (EMNLP (1), 2021)

QA-Align: Representing Cross-Text Content Overlap by Aligning Question-Answer Propositions. - Daniela Brook Weiss; Paul Roit; Ayal Klein; Ori Ernst; Ido Dagan (EMNLP (1), 2021)

LM-Debugger: An Interactive Tool for Inspection and Intervention in Transformer-Based Language Models. - Mor Geva; Avi Caciularu; Guy Dar; Paul Roit; Shoval Sadde; Micah Shlain; Bar Tamir; Yoav Goldberg (EMNLP (Demos), 2022)

Controlled Text Reduction. - Aviv Slobodkin; Paul Roit; Eran Hirsch; Ori Ernst; Ido Dagan (EMNLP, 2022)

Extending Multi-Text Sentence Fusion Resources via Pyramid Annotations. - Daniela Brook Weiss; Paul Roit; Ori Ernst; Ido Dagan (NAACL-HLT, 2022)

Factually Consistent Summarization via Reinforcement Learning with Textual Entailment Feedback. - Paul Roit; Johan Ferret; Lior Shani; Roee Aharoni; Geoffrey Cideron; Robert Dadashi; Matthieu Geist; Sertan Girgin; Léonard Hussenot; Orgad Keller; Nikola Momchev; Sabela Ramos Garea; et al. (ACL (1), 2023)

Explicating the Implicit: Argument Detection Beyond Sentence Boundaries. - Paul Roit; Aviv Slobodkin; Eran Hirsch; Arie Cattan; Ayal Klein; Valentina Pyatkin; Ido Dagan (ACL (1), 2024)

Localizing Factual Inconsistencies in Attributable Text Generation. - Arie Cattan; Paul Roit; Shiyue Zhang 001; David Wan; Roee Aharoni; Idan Szpektor; Mohit Bansal; Ido Dagan (CoRR, 2024)