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Manuel D. S. Hopp

dblp:410/1086 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2025
—ORCID · none

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

Artificial intelligence and machine learning · 1 · 1 first-author · 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 · 62% Graph learning · 38%
Human-computer interaction and pervasive computing
1 paper
Usability and user experience research · 100%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Natural language and speech › Information extraction and text analysis
topic model
0.912025
Persistent Homology of Topic Networks for the Prediction of Reader Curiosity · ACL (1) 2025
Machine learning › Graph learning › topological data analysis
persistent homology
0.312025
Persistent Homology of Topic Networks for the Prediction of Reader Curiosity · ACL (1) 2025
Machine learning › Graph learning
topological data analysis
0.312025
Persistent Homology of Topic Networks for the Prediction of Reader Curiosity · ACL (1) 2025

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

topic modeling · 1.7persistent homology · 1.7
YearPublicationVenuePosition
2025 Persistent Homology of Topic Networks for the Prediction of Reader Curiosity
abstract
Manuel D. S. Hopp, Vincent Labatut, Arthur Amalvy, Richard Dufour, Hannah Stone, Hayley Jach, Kou Murayama. Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2025.
Manuel D. S. Hopp, Vincent Labatut, Arthur Amalvy, Richard Dufour, Hannah Stone, Hayley K. Jach, Kou Murayama
ACL (1)1