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

Elsa Alves

dblp:03/409 · DBLP profile ↗
← Back
1ranked-venue papers
0as first author
0since 2021 · last 2007
—ORCID · none

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

Artificial intelligence and machine learning · 1Graphics, computer vision, multimedia, augmented reality and games · 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.

Databases, data mining, and information retrieval
1 paper
Information retrieval · 100%

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

TopicWeightPapersLastEvidence papers
Information retrieval › document retrieval
passage retrieval
0.112007
Topic Segmentation Algorithms for Text Summarization and Passage Retrieval: An Exhaustive Evaluation · AAAI 2007
Information retrieval
text summarization
0.112007
Topic Segmentation Algorithms for Text Summarization and Passage Retrieval: An Exhaustive Evaluation · AAAI 2007
Information retrieval › text analysis › text segmentation
topic segmentation
0.112007
Topic Segmentation Algorithms for Text Summarization and Passage Retrieval: An Exhaustive Evaluation · AAAI 2007

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

evaluation · 0.1
YearPublicationVenuePosition
2007 Topic Segmentation Algorithms for Text Summarization and Passage Retrieval: An Exhaustive Evaluation
Gaël Dias, Elsa Alves, José Gabriel Pereira Lopes
AAAI2