Zhu, Jianhan; Song, Dawei and Rüger, Stefan
(2008).
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| DOI (Digital Object Identifier) Link: | http://dx.doi.org/doi:10.1007/978-3-540-85902-4_29 |
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| Google Scholar: | Look up in Google Scholar |
Abstract
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 co-occur 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 of the predefined category’s parents, a category name based relevance model, and the co-occurrence model is not shown to be helpful in entity ranking and list completion, respectively.
| Item Type: | Conference Item |
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| Copyright Holders: | 2008 Springer-Verlag Berlin Heidelberg |
| ISSN: | 0302-9743 |
| Extra Information: | Published in Lecture Notes in Computer Science, 2008, Volume 4862/2008, 336-347 |
| Keywords: | entity ranking; list completion; entity retrieval; categories |
| Academic Unit/Department: | Knowledge Media Institute Mathematics, Computing and Technology > Computing |
| Related URLs: | |
| Item ID: | 25890 |
| Depositing User: | Kay Dave |
| Date Deposited: | 04 Jan 2011 12:29 |
| Last Modified: | 22 Oct 2012 10:49 |
| URI: | http://oro.open.ac.uk/id/eprint/25890 |
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