Véronique Malaisé
Biographic Data
| ID | 6462853 |
|---|---|
| NAME | Véronique Malaisé |
| GIVEN NAMES | Véronique |
| FAMILY NAME | Malaisé |
| SIGNATURE | MALAISÉ V |
| AFFILIATIONS | Vrije Universiteit Amsterdam |
| VERIFIED | No |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 1 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2005 |
| LATEST PUBLICATION YEAR | 2009 |
| H-INDEX | 1 |
Automatic Annotation Suggestions for Audiovisual Archives
In the context of large and ever growing archives, generating annotation suggestions automatically from textual resources related to the documents to be archived is an interesting option in theory. It could save a lot of work in the time consuming and expensive task of manual annotation and it could help cataloguers attain a higher inter-annotator agreement. However, some questions arise in practice: what is the quality of the automatically produ…
Terminologie et intelligence artificielle (TIA 2005), University of Rouen, Rouen (France), 4–5 April, 2005
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Mining defining contexts to help structuring differential ontologies
In this paper, we present an experiment dealing with corpus-based construction of “differential ontologies”, which are organised according to semantic similarity and differential features. We argue that knowledge-rich defining contexts can be useful to help an ontology modeller in his task. We present a method, based on lexico-syntactic patterns, to spot such contexts in a corpus, then identify the terms they relate (definiendum and genus or “cha…
Automatic Annotation Suggestions for Audiovisual Archives
In the context of large and ever growing archives, generating annotation suggestions automatically from textual resources related to the documents to be archived is an interesting option in theory. It could save a lot of work in the time consuming and expensive task of manual annotation and it could help cataloguers attain a higher inter-annotator agreement. However, some questions arise in practice: what is the quality of the automatically produ…
Terminologie et intelligence artificielle (TIA 2005), University of Rouen, Rouen (France), 4–5 April, 2005
Preview this article: Terminologie et intelligence artificielle (TIA 2005), University of Rouen, Rouen (France), 4–5 April, 2005, Page 1 of 1 /docserver/preview/fulltext/term.11.2.18ban-1.gif
Mining defining contexts to help structuring differential ontologies
In this paper, we present an experiment dealing with corpus-based construction of “differential ontologies”, which are organised according to semantic similarity and differential features. We argue that knowledge-rich defining contexts can be useful to help an ontology modeller in his task. We present a method, based on lexico-syntactic patterns, to spot such contexts in a corpus, then identify the terms they relate (definiendum and genus or “cha…
Automatic Annotation Suggestions for Audiovisual Archives
In the context of large and ever growing archives, generating annotation suggestions automatically from textual resources related to the documents to be archived is an interesting option in theory. It could save a lot of work in the time consuming and expensive task of manual annotation and it could help cataloguers attain a higher inter-annotator agreement. However, some questions arise in practice: what is the quality of the automatically produ…
Computer Science (2 works) · Natural Language Processing Techniques (2 works) · Annotation (1 works) · Artificial Intelligence (1 works) · Context (archaeology (1 works) · Humanities (1 works) · Identification (1 works) · Information retrieval (1 works) · Library science (1 works) · linguistics and terminology studies (1 works)