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2007
Springer

Integrating Document Features for Entity Ranking

11 years 7 months ago
Integrating Document Features for Entity Ranking
The Knowledge Media Institute of the Open University participated in the entity ranking and entity list completion tasks of the Entity Ranking Track in INEX 2007. In both the entity ranking and entity list completion tasks, we have considered document features in addition to a basic document content based relevance model. These document features include categorizations of documents, relevance of category names to the query, and hierarchical relations between categories. Furthermore, based on our TREC2006 and 2007 expert search approach, we applied a co-occurrence based entity association discovery model to the two tasks based on the assumption that relevant entities often cooccur with query terms or given relevant entities in documents. Our initial experimental results show that, by considering the predefined category, its children and grandchildren in the document content based relevance model, the performance of our entity ranking approach can be significantly improved. Consideration...
Jianhan Zhu, Dawei Song, Stefan M. Rüger
Added 08 Jun 2010
Updated 08 Jun 2010
Type Conference
Year 2007
Where INEX
Authors Jianhan Zhu, Dawei Song, Stefan M. Rüger
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