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This paper describes the official measures of retrieval effectiveness that are employed for the Ad Hoc Track at INEX 2007. Whereas in earlier years all, but only, XML elements could be retrieved, the result format has been liberalized to arbitrary passages. In response, the INEX 2007 measures are based on the amount of highlighted text retrieved , leading(More)
This paper describes the participation of the INRIA group in the INEX 2007 XML entity ranking and ad hoc tracks. We developed a system for ranking Wikipedia entities in answer to a query. Our approach utilises the known categories, the link structure of Wikipedia, as well as the link co-occurrences with the examples (when provided) to improve the(More)
Entity ranking has recently emerged as a research field that aims at retrieving entities as answers to a query. Unlike entity extraction where the goal is to tag names of entities in documents, entity ranking is primarily focused on returning a ranked list of relevant entity names for the query. Many approaches to entity ranking have been proposed, and most(More)
A realistic measure of relevance is necessary for meaningful comparison of alternative XML retrieval approaches. Previous studies have shown that the current INEX relevance definition, comprising two dimensions based on topical relevance , is too hard for users to understand. In this paper, we propose and evaluate a new relevance definition that uses(More)
Information retrieval from web and XML document collections is ever more focused on returning entities instead of web pages or XML elements. There are many research fields involving named entities ; one such field is known as entity ranking, where one goal is to rank entities in response to a query supported with a short list of entity examples. In this(More)
This paper investigates the impact of three approaches to XML retrieval: using Zettair, a full-text information retrieval system; using eXist, a native XML database; and using a hybrid system that takes full article answers from Zettair and uses eXist to extract elements from those articles. For the content-only topics, we undertake a preliminary analysis(More)
Entity ranking has recently emerged as a research field that aims at retrieving entities as answers to a query. Unlike entity extraction where the goal is to tag the names of the entities in documents, entity ranking is primarily focused on returning a ranked list of relevant entity names for the query. Many approaches to entity ranking have been proposed,(More)
The Relevant in Context retrieval task is document or article retrieval with a twist, where not only the relevant articles should be retrieved but also the relevant information within each article (captured by a set of XML elements) should be correctly identified. Our main research question is: how to evaluate the Relevant in Context task? We propose a(More)