Search Results for author: Ayal Klein

Found 7 papers, 5 papers with code

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

no code implementations EMNLP 2020 Valentina Pyatkin, Ayal Klein, Reut Tsarfaty, Ido Dagan

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

Natural Language Understanding

Opinion-based Relational Pivoting for Cross-domain Aspect Term Extraction

no code implementations WASSA (ACL) 2022 Ayal Klein, Oren Pereg, Daniel Korat, Vasudev Lal, Moshe Wasserblat, Ido Dagan

In this paper, we investigate and establish empirically a prior conjecture, which suggests that the linguistic relations connecting opinion terms to their aspects transfer well across domains and therefore can be leveraged for cross-domain aspect term extraction.

Domain Adaptation Term Extraction

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

1 code implementation23 May 2022 Ayal Klein, Eran Hirsch, Ron Eliav, Valentina Pyatkin, Avi Caciularu, Ido Dagan

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

Data Augmentation

QANom: Question-Answer driven SRL for Nominalizations

1 code implementation COLING 2020 Ayal Klein, Jonathan Mamou, Valentina Pyatkin, Daniela Stepanov, Hangfeng He, Dan Roth, Luke Zettlemoyer, Ido Dagan

We propose a new semantic scheme for capturing predicate-argument relations for nominalizations, termed QANom.

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

1 code implementation6 Oct 2020 Valentina Pyatkin, Ayal Klein, Reut Tsarfaty, Ido Dagan

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

Natural Language Understanding

Controlled Crowdsourcing for High-Quality QA-SRL Annotation

1 code implementation ACL 2020 Paul Roit, Ayal Klein, Daniela Stepanov, Jonathan Mamou, Julian Michael, Gabriel Stanovsky, Luke Zettlemoyer, Ido Dagan

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

Semantic Role Labeling

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