The paper presents a study on large-scale automatic extraction of acronyms and associated expansions from Web data and from the user interactions with this data through Web search...
We reported some experiments conducted by our members in the SIG team at the IRIT laboratory in the CLEF medical retrieval task, namely ImageCLEFmed. In 2010, we are particularly i...
This paper presents a semantic confidence measure that aims to predict the relevance of automatic transcripts for a task of Spoken Document Retrieval (SDR). The proposed predicti...
We investigate the connection between part of speech (POS) distribution and content in language. We define POS blocks to be groups of parts of speech. We hypothesise that there ex...
The domain-specific track evaluates retrieval models for structured scientific bibliographic collections in English, German and Russian. Documents contain elements (title, abstrac...