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Demo Data from SIGIR 2026 / reviewers in the wild / expert

Farah Essaidi

dblp:268/0987 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2020
—ORCID · none

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

Artificial intelligence and machine learning · 1

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%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Computational social science and digital humanities · 100%

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 › data annotation › corpus annotation
treebank construction		 0.412020
Building a User-Generated Content North-African Arabizi Treebank: Tackling Hell · ACL 2020
Computational social science and digital humanities
user-generated content		 0.112020
Building a User-Generated Content North-African Arabizi Treebank: Tackling Hell · ACL 2020
YearPublicationVenuePosition
2020 Building a User-Generated Content North-African Arabizi Treebank: Tackling Hell
abstract
Djamé Seddah, Farah Essaidi, Amal Fethi, Matthieu Futeral, Benjamin Muller, Pedro Javier Ortiz Suárez, Benoît Sagot, Abhishek Srivastava. Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics. 2020.
Djamé Seddah, Farah Essaidi, Amal Fethi, Matthieu Futeral, Benjamin Muller, Pedro Ortiz Suarez, Benoît Sagot
 ACL2