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Marie-Hélène Candito

dblp:74/4429 · DBLP profile ↗
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2ranked-venue papers
2as first author
0since 2021 · last 1996
—ORCID · none

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.

Theoretical computer science
1 paper
Automata and formal languages · 100%

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

TopicWeightPapersLastEvidence papers
Automata and formal languages › tree adjoining grammar
lexicalized tree adjoining grammar		 0.011996
Generating an LTAG out of a Principle-based Hierarchical Representation · ACL 1996
Automata and formal languages
tree adjoining grammar		 0.011996
Generating an LTAG out of a Principle-based Hierarchical Representation · ACL 1996
Automata and formal languages
formal grammars		 0.011996
Generating an LTAG out of a Principle-based Hierarchical Representation · ACL 1996

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

automatic grammar generation · 0.0
YearPublicationVenuePosition
1996 Generating an LTAG out of a Principle-based Hierarchical Representation
abstract
Lexicalized Tree Adjoining Grammars have proved useful for NLP. However, numerous redundancy problems face LTAGs developers, as highlighted by Vijay-Shanker and Schabes (92).We present and a tool that automatically generates the tree families of an LTAG. It starts from a compact hierarchical organization of syntactic descriptions that is linguistically motivated and carries out all the relevant combinations of linguistic phenomena.
Marie-Hélène Candito
 ACL1
1996 A principle-based hierarchical representation of LTAGs
Marie-Hélène Candito
 COLING1