activity
20192026
most citedQADiscourse -- Discourse Relations as QA Pairs: Representation, Crowdsourcing and Baselines

4 citations · 10 across the 10 of their papers we have counts for

collaborators

10 papers

cs.CL2026

A Universal Vibe? Finding and Controlling Language-Agnostic Informal Register with SAEs

Uri Z. Kialy, Avi Shtarkberg, Ayal Klein

While multilingual language models successfully transfer factual and syntactic knowledge across languages, it remains unclear whether they process culture-specific pragmatic regist…

cs.CL2026

Effective QA-driven Annotation of Predicate-Argument Relations Across Languages

Jonathan Davidov, Aviv Slobodkin, Shmuel Tomi Klein +3

Explicit representations of predicate-argument relations form the basis of interpretable semantic analysis, supporting reasoning, generation, and evaluation. However, attaining suc…

cs.CL2025

QA-Noun: Representing Nominal Semantics via Natural Language Question-Answer Pairs

Maria Tseytlin, Paul Roit, Omri Abend +2

Decomposing sentences into fine-grained meaning units is increasingly used to model semantic alignment. While QA-based semantic approaches have shown effectiveness for representing…

cs.CL2024

QAPyramid: Fine-grained Evaluation of Content Selection for Text Summarization

Shiyue Zhang, David Wan, Arie Cattan +3

How to properly conduct human evaluations for text summarization is a longstanding challenge. The Pyramid human evaluation protocol, which assesses content selection by breaking th…

cs.CY2024★ 2 cited

Large language models for mental health

Andreas Triantafyllopoulos, Yannik Terhorst, Iosif Tsangko +10

Digital technologies have long been explored as a complement to standard procedure in mental health research and practice, ranging from the management of electronic health records…

cs.CL2024

Explicating the Implicit: Argument Detection Beyond Sentence Boundaries

Paul Roit, Aviv Slobodkin, Eran Hirsch +4

Detecting semantic arguments of a predicate word has been conventionally modeled as a sentence-level task. The typical reader, however, perfectly interprets predicate-argument rela…

cs.CL2022

QASem Parsing: Text-to-text Modeling of QA-based Semantics

Ayal Klein, Eran Hirsch, Ron Eliav +3

Several recent works have suggested to represent semantic relations with questions and answers, decomposing textual information into separate interrogative natural language stateme…

cs.CL2021★ 1 cited

QA-Align: Representing Cross-Text Content Overlap by Aligning Question-Answer Propositions

Daniela Brook Weiss, Paul Roit, Ayal Klein +2

Multi-text applications, such as multi-document summarization, are typically required to model redundancies across related texts. Current methods confronting consolidation struggle…

cs.CL2020★ 4 cited

QADiscourse -- Discourse Relations as QA Pairs: Representation, Crowdsourcing and Baselines

Valentina Pyatkin, Ayal Klein, Reut Tsarfaty +1

Discourse relations describe how two propositions relate to one another, and identifying them automatically is an integral part of natural language understanding. However, annotati…

cs.CL2019★ 3 cited

Controlled Crowdsourcing for High-Quality QA-SRL Annotation

Paul Roit, Ayal Klein, Daniela Stepanov +5

Question-answer driven Semantic Role Labeling (QA-SRL) was proposed as an attractive open and natural flavour of SRL, potentially attainable from laymen. Recently, a large-scale cr…