TAC KBP Reference Knowledge Base /
(/)

Name: TAC KBP Reference Knowledge Base /
Author: Simpson, Heather, author.

İsim	TAC KBP Reference Knowledge Base /
İsim Orijinal	/
Yazar	Simpson, Heather, author.
Basım Tarihi:	2014
Basım Yeri	- [Philadelphia, Pa.] Linguistic Data Consortium, [2014].©2014
Konu	Text files -- Data processing. XML (Document markup language) -- Databases. Data warehousing. Information retrieval -- Databases. Data warehousing. Information retrieval. XML (Document markup language) Databases.
Tür	Diğer
Dil	ara,eng
Dijital	Evet
Yazma	Hayır
Fiziksel Boyutlar	\|
Kütüphane:	Chicago Üniversitesi
Kayıt Numarası	10373231
Tarih	2014
Notlar	LDC2014T16Title from disc label.Access restricted to University of Sydney staff and students. Educational use only.System requirements: CD-ROM drive; web browser; other requirements not specified.English.. 1 computer disc (CD-ROM) : sound, colour ; 12 cm.. "TAC KBP Reference Knowledge Base was developed by the Linguistic Data Consortium (LDC) in support of the NIST-sponsored TAC-KBP evaluation series. It is a knowledge base built from English Wikipedia articles and their associated infoboxes and covers over 800,000 entities. TAC (Text Analysis Conference) is a series of workshops organized by NIST (the National Institute of Standards and Technology) to encourage research in natural language processing and related applications by providing a large test collection, common evaluation procedures, and a forum for researchers to share their results. TAC's KBP track (Knowledge Base Population) encourages the development of systems that can match entities mentioned in natural texts with those appearing in a knowledge base and extract novel information about entities from a document collection and add it to a new or existing knowledge base. Consult the LDC TAC-KBP project page for further information about LDC's resource development for the TAC-KBP program. The source data (Wikipedia infoboxes and articles) was taken from an October 2008 snapshot of Wikipedia. TAC KBP Reference Knowledge Base contains a set of entities, each with a canonical name and title for the Wikipedia page, an entity type, an automatically parsed version of the data from the infobox in the entity's Wikipedia article, and a stripped version of the text of the Wiki article. Each entity is assigned one of four types: PER (person), ORG (organization), GPE (geo-political entity) and UKN (unknown). All data files are presented as UTF-8 encoded XML. "-- LDC catalogue https://catalog.ldc.upenn.edu/LDC2014T16 (viewed October 30, 2014).
Diğer yazarlar / katkıda bulunanlar	Ellis, Joe, author. Parker, Robert, author. Linguistic Data Consortium.
ISBN	15856368519781585636853
Ses özellikleri	digital optical stereo
Video özellikleri	laser optical
Dijital dosya özellikleri	program file

Kaynağa git Chicago Üniversitesi University of Chicago

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Chicago Üniversitesi

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TAC KBP Reference Knowledge Base /

(/)

Yazar Simpson, Heather, author.

Basım Tarihi 2014

Konu Text files -- Data processing. XML (Document markup language) -- Databases. Data warehousing. Information retrieval -- Databases. Data warehousing. Information retrieval. XML (Document markup language) Databases.

Tür Diğer

Dil ara,eng

Dijital Evet

Yazma Hayır

Fiziksel Boyutlar |

Kütüphane Chicago Üniversitesi

Kayıt Numarası 10373231

Tarih 2014

Notlar LDC2014T16Title from disc label.Access restricted to University of Sydney staff and students. Educational use only.System requirements: CD-ROM drive; web browser; other requirements not specified.English.. 1 computer disc (CD-ROM) : sound, colour ; 12 cm.. "TAC KBP Reference Knowledge Base was developed by the Linguistic Data Consortium (LDC) in support of the NIST-sponsored TAC-KBP evaluation series. It is a knowledge base built from English Wikipedia articles and their associated infoboxes and covers over 800,000 entities. TAC (Text Analysis Conference) is a series of workshops organized by NIST (the National Institute of Standards and Technology) to encourage research in natural language processing and related applications by providing a large test collection, common evaluation procedures, and a forum for researchers to share their results. TAC's KBP track (Knowledge Base Population) encourages the development of systems that can match entities mentioned in natural texts with those appearing in a knowledge base and extract novel information about entities from a document collection and add it to a new or existing knowledge base. Consult the LDC TAC-KBP project page for further information about LDC's resource development for the TAC-KBP program. The source data (Wikipedia infoboxes and articles) was taken from an October 2008 snapshot of Wikipedia. TAC KBP Reference Knowledge Base contains a set of entities, each with a canonical name and title for the Wikipedia page, an entity type, an automatically parsed version of the data from the infobox in the entity's Wikipedia article, and a stripped version of the text of the Wiki article. Each entity is assigned one of four types: PER (person), ORG (organization), GPE (geo-political entity) and UKN (unknown). All data files are presented as UTF-8 encoded XML. "-- LDC catalogue https://catalog.ldc.upenn.edu/LDC2014T16 (viewed October 30, 2014).

Diğer yazarlar / katkıda bulunanlar Ellis, Joe, author. Parker, Robert, author. Linguistic Data Consortium.

ISBN 15856368519781585636853

Ses özellikleri digital optical stereo

Video özellikleri laser optical

Dijital dosya özellikleri program file