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Golzar Atefi

dblp:399/3260 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2026
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Information extraction and text analysis · 77% Learning theory · 23%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Natural language and speech › Information extraction and text analysis › lexical semantics › multiword expression
idiom processing
1.012026
Rethinking the Idiomaticity Decomposability Hypothesis: Evidence from Distributional Learning · ACL (1) 2026
Machine learning › Learning theory
distribution learning
0.312026
Rethinking the Idiomaticity Decomposability Hypothesis: Evidence from Distributional Learning · ACL (1) 2026

Methods — techniques the papers use, named apart from their topics

distributional learning · 1.0
YearPublicationVenuePosition
2026 Rethinking the Idiomaticity Decomposability Hypothesis: Evidence from Distributional Learning
abstract
Maggie Mi, Golzar Atefi, Atsuki Yamaguchi, Felix Gers, Aline Villavicencio, Nafise Sadat Moosavi. Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2026.
Maggie Mi, Golzar Atefi, Atsuki Yamaguchi, Felix A. Gers, Aline Villavicencio, Nafise Sadat Moosavi
ACL (1)2