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

Danielle Barth

dblp:411/4617 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2025
0000-0002-2952-644XORCID · reported

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
Speech recognition and synthesis · 100%
Computer graphics and multimedia
1 paper
Audio and music processing · 100%

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

TopicWeightPapersLastEvidence papers
Natural language and speech › Speech recognition and synthesis
forced alignment		 0.912025
English-based acoustic models perform well in the forced alignment of two English-based Pacific Creoles · ACL (1) 2025
Audio and music processing
speech processing		 0.912025
English-based acoustic models perform well in the forced alignment of two English-based Pacific Creoles · ACL (1) 2025

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

forced alignment · 1.7acoustic modeling · 1.7
YearPublicationVenuePosition
2025 English-based acoustic models perform well in the forced alignment of two English-based Pacific Creoles
abstract
Sam Passmore, Lila San Roque, Kirsty Gillespie, Saurabh Nath, Kira Davey, Keira Mullan, Tim Cawley, Jennifer Biggs, Rosey Billington, Bethwyn Evans, Nick Thieberger, Danielle Barth. Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2025.
Sam Passmore, Lila San Roque, Kirsty Gillespie, Saurabh Nath, Kira Davey, Keira Mullan, Tim Cawley, Jennifer Biggs, Rosey Billington, Bethwyn Evans, Nick Thieberger, Danielle Barth
 ACL (1)12