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P. B. Baxendale

dblp:65/3605 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 1967
—ORCID · none

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

Applied, interdisciplinary, general and emerging computing · 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 · 50% Data integration and cleaning · 50%

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

TopicWeightPapersLastEvidence papers
Data integration and cleaning
synonym discovery		 0.011967
Statistical Discrimination of the Synonymy/Antonymy Relationship Between Words · J. ACM 1967
Information retrieval
text analysis		 0.011967
Statistical Discrimination of the Synonymy/Antonymy Relationship Between Words · J. ACM 1967

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

corpus analysis · 0.0co-occurrence statistics · 0.0
YearPublicationVenuePosition
1967 Statistical Discrimination of the Synonymy/Antonymy Relationship Between Words
abstract
A basic hypothesis is stated about the contextual and co-occurrence properties of synonymous words. On the basis of this hypothesis, several statistics are derived for use in discriminating between pairs of words which are synonymous and pairs of words which are nonsynonymous. The discriminating power of these statistics is tested on a corpus consisting of titles of physics theses. The tests indicate that two of the derived statistics have relatively high discriminating power. The results are interpreted and the possibility of obtaining better discriminating power is discussed.
Peter A. W. Lewis, P. B. Baxendale, John L. Bennett
 J. ACM2