Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Anne-Marie Vercoustre"'
Publikováno v:
Information Retrieval. 13:568-600
Entity ranking has recently emerged as a research field that aims at retrieving entities as answers to a query. Unlike entity extraction where the goal is to tag names of entities in documents, entity ranking is primarily focused on returning a ranke
Autor:
Dale Sutcliffe, Alain Michard, Mike Stapleton, Vassilis Christophides, Anne-Marie Vercoustre, Michel Scholl
Publikováno v:
Computer Networks and ISDN Systems. 30:1185-1200
Aquarelle is a three-year project supported by the Telematics Applications Programme of the European Union, aiming at designing a resource discovery system on the Internet, applied to cultural heritage documentation. The system relies on the Z39.50 p
Autor:
Anne-Marie Vercoustre
Publikováno v:
ACM SIGWEB Newsletter. 6:9-12
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783642037603
INEX
INEX
Entity ranking has recently emerged as a research field that aims at retrieving entities as answers to a query. Unlike entity extraction where the goal is to tag the names of the entities in documents, entity ranking is primarily focused on returning
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b8d39bbc0b377a70e5ebd79269eb6302
https://doi.org/10.1007/978-3-642-03761-0_29
https://doi.org/10.1007/978-3-642-03761-0_29
Autor:
Anne-Marie Vercoustre, Jocelyne Nanard
Publikováno v:
ACM SIGWEB Newsletter. 8:65-67
Publikováno v:
the 23rd Annual ACM Symposium on Applied Computing
the 23rd Annual ACM Symposium on Applied Computing, Mar 2008, Fortaleza, Brazil
[Research Report] RR-6294, INRIA. 2007, pp.8
SAC
the 23rd Annual ACM Symposium on Applied Computing, Mar 2008, Fortaleza, Brazil
[Research Report] RR-6294, INRIA. 2007, pp.8
SAC
The traditional entity extraction problem lies in the ability of extracting named entities from plain text using natural language processing techniques and intensive training from large document collections. Examples of named entities include organis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fcb038730c72bfa6e39da2347c763ca6
https://hal.inria.fr/inria-00189149/file/sac08.pdf
https://hal.inria.fr/inria-00189149/file/sac08.pdf
Publikováno v:
Focused Access to XML Documents ISBN: 9783540859017
INEX
INEX
Many realistic user tasks involve the retrieval of specific entities instead of just any type of documents. Examples of information needs include `Countries where one can pay with the euro' or `Impressionist art museums in The Netherlands'. The Initi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4bc2fa0ff6807edaf9028cd90a0cb74e
https://doi.org/10.1007/978-3-540-85902-4_22
https://doi.org/10.1007/978-3-540-85902-4_22
Publikováno v:
Proceedings of the sixth International Workshop of the Initiative for the Evaluation of XML Retrieval (INEX 2007)
Proceedings of the sixth International Workshop of the Initiative for the Evaluation of XML Retrieval (INEX 2007), Dec 2007, Schloss Dagstuhl, Germany. pp. 321-335, ⟨10.1007/978-3-540-85902-4_28⟩
Focused Access to XML Documents ISBN: 9783540859017
INEX
Proceedings of the sixth International Workshop of the Initiative for the Evaluation of XML Retrieval (INEX 2007), Dec 2007, Schloss Dagstuhl, Germany. pp. 321-335, ⟨10.1007/978-3-540-85902-4_28⟩
Focused Access to XML Documents ISBN: 9783540859017
INEX
This paper describes the participation of the INRIA group in the INEX 2007 XML entity ranking and ad hoc tracks. We developed a system for ranking Wikipedia entities in answer to a query. Our approach utilises the known categories, the link structure
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::318482278157ee59306883cde58eba73
https://hal.inria.fr/inria-00192489/document
https://hal.inria.fr/inria-00192489/document
Publikováno v:
Comparative Evaluation of XML Information Retrieval Systems ISBN: 9783540738879
INEX
INEX
This article is a report concerning the two years of the XML Mining track at INEX (2005 and 2006). We focus here on the classification and clustering of XML documents. We detail these two tasks and the corpus used for this challenge and then present
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::94c95fc5e9dfc3e5bd3a72cdb265fab7
https://doi.org/10.1007/978-3-540-73888-6_41
https://doi.org/10.1007/978-3-540-73888-6_41
Autor:
Michel Scholl, Gregory Karvounarakis, Vassilis Christophides, Anne-Marie Vercoustre, Bernd Amann, Dimitris Plexousakis, Irini Fundulaki, Karsten Tolle, Sofia Alexaki
Publikováno v:
Conceptual Modeling for E-Business and the Web ISBN: 9783540410737
ER (Workshops)
ER (Workshops)
The need for descriptive information, i.e., metadata, about Web resources has been recognized in several application contexts (e.g., digital libraries, portals). The Resource Description Framework (RDF) aims at facilitating the creation and exchange
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::90e8d6b88cffd6c64aff6e83f1c55912
https://doi.org/10.1007/3-540-45394-6_13
https://doi.org/10.1007/3-540-45394-6_13