Zohar Naaman

dblp:435/0372 · 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 · 100%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Natural language and speech › Information extraction and text analysis › narrative understanding
narrative extraction
1.012026
A Structured Clustering Approach for Inducing Media Narratives · ACL (1) 2026
Natural language and speech › Information extraction and text analysis › text mining
text clustering
1.012026
A Structured Clustering Approach for Inducing Media Narratives · ACL (1) 2026

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

clustering · 1.0
YearPublicationVenuePosition
2026 A Structured Clustering Approach for Inducing Media Narratives
abstract
Rohan Das, Advait Deshmukh, Alexandria Leto, Zohar Naaman, I-Ta Lee, Maria Leonor Pacheco. Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2026.
Rohan Das 0001, Advait Deshmukh, Alexandria Leto, Zohar Naaman, I-Ta Lee, Maria Leonor Pacheco
ACL (1)4