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Katerina T. Frantzi

dblp:19/2821 · DBLP profile ↗
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2ranked-venue papers
2as first author
0since 2021 · last 1997
0000-0002-3075-6736ORCID · verified

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

Artificial intelligence and machine learning · 2 · 2 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
term recognition		 0.011997
Incorporating Context Information for the Extraction of Terms · ACL 1997

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

statistical context weighting · 0.0c-value · 0.0
YearPublicationVenuePosition
1997 Incorporating Context Information for the Extraction of Terms
abstract
The information used for the extraction of terms can be considered as rather 'internal', i.e. coming from the candidate string itself. This paper presents the incorporation of 'external' information derived from the context of the candidate string. It is embedded to the C-value approach for automatic term recognition (ATR), in the form of weights constructed from statistical characteristics of the context words of the candidate string.
Katerina T. Frantzi
 ACL1
1996 Extracting Nested Collocations
Katerina T. Frantzi, Sophia Ananiadou
 COLING1