Parsimonious language models for information retrieval
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Using Wikipedia Categories and Links in Entity Ranking
Focused Access to XML Documents
Using and Detecting Links in Wikipedia
Focused Access to XML Documents
Is Wikipedia link structure different?
Proceedings of the Second ACM International Conference on Web Search and Data Mining
Towards methods for the collective gathering and quality control of relevance assessments
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Using wikipedia categories for ad hoc search
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
The Impact of Document Level Ranking on Focused Retrieval
Advances in Focused Retrieval
Finding Entities in Wikipedia Using Links and Categories
Advances in Focused Retrieval
What's in a Link? From Document Importance to Topical Relevance
ICTIR '09 Proceedings of the 2nd International Conference on Theory of Information Retrieval: Advances in Information Retrieval Theory
The effect of structured queries and selective indexing on XML retrieval
INEX'05 Proceedings of the 4th international conference on Initiative for the Evaluation of XML Retrieval
Mixture models, overlap, and structural hints in XML element retrieval
INEX'04 Proceedings of the Third international conference on Initiative for the Evaluation of XML Retrieval
Focus and element length for book and wikipedia retrieval
INEX'10 Proceedings of the 9th international conference on Initiative for the evaluation of XML retrieval: comparative evaluation of focused retrieval
An exploration of ranking models and feedback method for related entity finding
Information Processing and Management: an International Journal
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In this paper we describe our participation in INEX 2009 in the Ad Hoc Track, the Book Track, and the Entity Ranking Track. In the Ad Hoc track we investigate focused link evidence, using only links from retrieved sections. The new collection is not only annotated with Wikipedia categories, but also with YAGO/WordNet categories. We explore how we can use both types of category information, in the Ad Hoc Track as well as in the Entity Ranking Track. Results in the Ad Hoc Track show Wikipedia categories are more effective than WordNet categories, and Wikipedia categories in combination with relevance feed-back lead to the best results. Preliminary results of the Book Track show full-text retrieval is effective for high early precision. Relevance feedback further increases early precision. Our findings for the Entity Ranking Track are in direct opposition of our Ad Hoc findings, namely, that the WordNet categories are more effective than the Wikipedia categories. This marks an interesting difference between ad hoc search and entity ranking.