Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Nicholas Dames

dblp:56/9012 · DBLP profile ↗
← Back
1ranked-venue papers
0as first author
0since 2021 · last 2010
—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%

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 › relation extraction
social network extraction
0.112010
Extracting Social Networks from Literary Fiction · ACL 2010

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

social network extraction · 0.1
YearPublicationVenuePosition
2010 Extracting Social Networks from Literary Fiction
David K. Elson, Nicholas Dames, Kathy McKeown
ACL2