TAC-KBP 2010 Track
(Redirected from TAC 2010 Knowledge Base Population Track)
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A TAC-KBP 2010 Track is a TAC-KBP track within TAC 2010.
- AKA: TAC 2010 Knowledge Base Population Track.
- Context:
- It can result in a TAC-KBP 2010 Task.
- It can result in a TAC-KBP 2010 Papers (presented at the TAC 2010 Workshop).
- Example(s):
- Counter-Example(s):
- See: TAC Track, TAC Workshop.
References
2011
- (Ji et al., 2011) ⇒ Heng Ji, and Ralph Grishman. (2011). “Knowledge Base Population: Successful Approaches and Challenges.” In: Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies.
- QUOTE: In this paper we give an overview of the Knowledge Base Population (KBP) track at the 2010 Text Analysis Conference. The main goal of KBP is to promote research in discovering facts about entities and augmenting a knowledge base (KB) with these facts. This is done through two tasks, Entity Linking -- linking names in context to entities in the KB -- and Slot Filling -- adding information about an entity to the KB. A large source collection of newswire and web documents is provided from which systems are to discover information. Attributes ("slots") derived from Wikipedia infoboxes are used to create the reference KB.
2010
- http://nlp.cs.qc.cuny.edu/kbp/2010/
- QUOTE: Question Answering and Information Extraction have been studied over the past decade; however evaluation has generally been limited to isolated targets or small scopes (i.e., single documents). The Knowledge Base Population (KBP) Track at TAC 2010 will explore extraction of information about entities with reference to an external knowledge source. Using basic schema for persons, organizations, and locations, nodes in an ontology must be created and populated using unstructured information found in text. A collection of Wikipedia Infoboxes will serve as a rudimentary initial knowledge representation.