Exploring Social Software at UBC Library: The TOTS Series
نویسندگان
چکیده
منابع مشابه
Stanford-UBC at TAC-KBP
This paper describes the joint Stanford-UBC knowledge base population system. We developed several entity linking systems based on frequencies of backlinks, training on contexts of anchors, overlap of context with the text of the entity in Wikipedia, and both heuristic and supervised combinations. Our combined systems performed better than the individual components, which situates our runs bett...
متن کاملStanford-UBC Entity Linking at TAC-KBP
This paper describes the joint Stanford-UBC knowledge base population system for the entity linking task. We modified our 2009 approach, which was based on frequencies of Wikipedia back-links, providing a context-independent mapping from strings to possible Wikipedia titles. We then built on this foundation, taking into account named-entity recognition (NER) and coreference resolution informati...
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This paper describes our system for the entity linking task at TAC KBP 2012. We developed a supervised system using dictionarybased, similarity-based, and graph-based features. As a global feature, we apply Personalized PageRank with Wikipedia to weight the list of entity candidates. We use two Wikipedia versions with different timestamps to enrich the knowledge base and develop an algorithm fo...
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This paper describes our submissions for the Slot Filling task of TAC-KBP 2011. The system takes as baseline the one we developed for the 2010 edition (Intxaurrondo et al., 2010), which is based on distant supervision. We did a straightforward implementation, trained using snippets of the document collection containing both entity and filler from the KB provided by the organizers. Our system do...
متن کاملNICTA and UBC at the TREC 2012 Medical Track
We introduce two heterogeneous query expansion techniques, and a combined system to the TREC 2012 Medical Track. Our methods are based on external resources that provide expansion concepts related to the query terms, by means of the PageRank algorithm, and simple rules based on UMLS Semantic Types. In this paper we show that our systems are able to reach competitive performances at both the TRE...
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ژورنال
عنوان ژورنال: Partnership: The Canadian Journal of Library and Information Practice and Research
سال: 2009
ISSN: 1911-9593
DOI: 10.21083/partnership.v4i1.932