Abstract
This paper presents our approach for INEX 2009 Entity Ranking track which consists of two subtasks viz. Entity Ranking and List Completion. Retrieving the correct entities according to the user query is a three-step process viz. extracting the required information from the query and the provided categories, extracting the relevant documents which may be either prospective entities or intermediate pointers to prospective entities by making use of the structure available in the Wikipedia Corpus and finally ranking the resultant set of documents. We have extracted the Entity Determining Terms (EDTs), Qualifiers and prominent n-grams from the query, strategically exploited the relation between the extracted terms and the structure and connectedness of the corpus to retrieve links which are highly probable of being entities and then used a recursive mechanism for retrieving relevant documents through the Lucene Search. Our ranking mechanism combines various approaches that make use of category information, links, titles and WordNet information, initial description and the text of the document.
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Ramanathan, M., Rajagopal, S., Karthik, V., Murugeshan, M.S., Mukherjee, S. (2010). A Recursive Approach to Entity Ranking and List Completion Using Entity Determining Terms, Qualifiers and Prominent n-Grams. In: Geva, S., Kamps, J., Trotman, A. (eds) Focused Retrieval and Evaluation. INEX 2009. Lecture Notes in Computer Science, vol 6203. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14556-8_29
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DOI: https://doi.org/10.1007/978-3-642-14556-8_29
Publisher Name: Springer, Berlin, Heidelberg
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