Abstract. INEX investigates focused retrieval from structured documents by providing large test collections of structured documents, uniform evaluation measures, and a forum for organizations to compare their results. This paper reports on the INEX 2013 evaluation campaign, which consisted of four

Abstract. INEX investigates focused retrieval from structured docu-ments by providing large test collections of structured documents, uni-form evaluation measures, and a forum for organizations to compare their results. This paper reports on the INEX 2014 evaluation cam-paign, which consisted

INEX investigates focused retrieval from structured documents by providing large test collections of structured documents, uniform evaluation measures, and a forum for organizations to compare their results. This paper reports on the INEX 2010 evaluation campaign, which consisted of a wide range

INEX investigates focused retrieval from structured documents by providing large test collections of structured documents, uniform evaluation measures, and a forum for organizations to compare their results. This paper reports on the INEX 2009 evaluation campaign, which consisted of a wide range

INEX investigates focused retrieval from structured documents by providing large test collections of structured documents, uniform evaluation measures, and a forum for organizations to compare their results. This paper reports on the INEX 2008 evaluation campaign, which consisted of a wide range

Abstract. This paper reports on our current experiments involving the Snippet and Tweet Contextualization Tracks of the 2012 INEX competition. Most of this work in snippet generation extends our earlier (2011) approach, described in [4], which produced a top-ranked result. The source of the snippet

Abstract. The goal of the INEX 2012 Social Book Search Track is to evaluate approaches for supporting users in reading, searching, and navigating book metadata and full texts of digitised books as well as associated user-generated content. The investigation is focused around two tasks: 1

Abstract. In this paper, we describe our participation in the INEX 2012 So-cial Book Search track. We investigate the contribution of different types of document metadata, both social and controlled, and examine the effective-ness of re-ranking retrieval results using different social features

Abstract. This paper describes some preliminary results obtained by treating the tweet contextualization task as a passage retrieval task. Each tweet was submitted as a query to the Indri 5.2 search engine after some preprocessing. Either paragraphs or sentences were retrieved in response to a query. Passages retrieved from the same document were concate-nated. This approach does not work very well in terms of informativeness: the best of our runs was ranked 23rd out of 33 runs. Further exploration of ways to improve eectiveness is needed. 1

The overall motivation for the Interactive Track (iTrack) at INEX is twofold. First, to investigate the behaviour of users when interacting with components of XML documents, and secondly to investigate and develop approaches for XML retrieval which are effective in user-based environments. One