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Eva Buranova

dblp:29/4296 · DBLP profile ↗
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2ranked-venue papers
2as first author
0since 2021 · last 2000
—ORCID · none

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

Artificial intelligence and machine learning · 2 · 2 first-authorGraphics, computer vision, multimedia, augmented reality and games · 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
Language models and text generation · 77% Information extraction and text analysis · 23%

Topics — the 1 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Natural language and speech › Language models and text generation › natural language understanding › question answering
question answering systems		 0.011979
Question-Answering System of Charles University · IJCAI 1979
YearPublicationVenuePosition
2000 Tagging of very large corpora: Topic-Focus Articulation
abstract
After a brief characterization of the theory of the topic-focus articulation of the sentence (TFA), rules are formulated that determine the assignment of appropriate values of the TFA attribute in the process of syntactico-semantic tagging of a very large corpus of Czech.
Eva Buranova, Eva Hajicová, Petr Sgall
 COLING1
1979 Question-Answering System of Charles University
Eva Buranova, Svatava Machová, Bohumil Miniberger, Antonín Ríha
 IJCAI1