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Paul Deane

dblp:07/6354 · DBLP profile ↗
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3ranked-venue papers
1as first author
2since 2021 · last 2025
—ORCID · unresolved

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

Applied, interdisciplinary, general and emerging computing · 2 · 2 since 2021Artificial intelligence and machine learning · 1 · 1 first-author

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 1 heaviest of 1, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Natural language and speech › Information extraction and text analysis › phrase extraction
terminology extraction		 0.112005
A Nonparametric Method for Extraction of Candidate Phrasal Terms · ACL 2005

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

nonparametric rank-based heuristic · 0.1mutual rank ratio · 0.1
YearPublicationVenuePosition
2025 2nd Workshop on Educational Data Mining in Writing and Literacy Instruction
Collin F. Lynch, Paul Deane, Piotr Mitros, Zhikai Gao, Damilola Babalola
 EDM2
2024 Educational Data Mining in Writing and Literacy Instruction
Collin F. Lynch, Paul Deane, Piotr Mitros, Zhikai Gao, Damilola Babalola
 EDM2
2005 A Nonparametric Method for Extraction of Candidate Phrasal Terms
abstract
This paper introduces a new method for identifying candidate phrasal terms (also known as multiword units) which applies a nonparametric, rank-based heuristic measure. Evaluation of this measure, the mutual rank ratio metric, shows that it produces better results than standard statistical measures when applied to this task.
Paul Deane
 ACL1