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Maksim Seniw

dblp:385/8487 · 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.

Databases, data mining, and information retrieval
1 paper
Information retrieval · 100%
Human-computer interaction and pervasive computing
1 paper
Collaborative and social computing · 100%

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

TopicWeightPapersLastEvidence papers
Information retrieval
text analysis
1.012026
Effects of Collaboration on the Performance of Interactive Theme Discovery Systems · ACL (1) 2026
Collaborative and social computing
cooperative work
1.012026
Effects of Collaboration on the Performance of Interactive Theme Discovery Systems · ACL (1) 2026

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

interactive system evaluation · 2.0
YearPublicationVenuePosition
2026 Effects of Collaboration on the Performance of Interactive Theme Discovery Systems
abstract
Alvin Po-Chun Chen, Rohan Das, Dananjay Srinivas, Alexandra Barry, Maksim Seniw, Maria Leonor Pacheco. Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2026.
Alvin Po-Chun Chen, Rohan Das 0001, Dananjay Srinivas, Alexandra Barry, Maksim Seniw, Maria Leonor Pacheco
ACL (1)5