SIGIR '95 Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval
A language modeling approach to information retrieval
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Maintaining knowledge about temporal intervals
Communications of the ACM
A Linguistically Motivated Probabilistic Model of Information Retrieval
ECDL '98 Proceedings of the Second European Conference on Research and Advanced Technology for Digital Libraries
The SMART Retrieval System—Experiments in Automatic Document Processing
The SMART Retrieval System—Experiments in Automatic Document Processing
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All information retrieval models are based on the equality which exists between the query terms and the documents terms. This principle is based on the assumption that terms are correctly extracted from the documents and queries. But in some context (such as document generated by automatic speech recognition or by optical character recognition systems), this assumption is not true. We propose a generalisation of the information retrieval model based on the language model integrating this dimension. To do it, we introduce two notions: the term certainty value (in relation with the extraction process) and the pairing between two terms. Pairing between two terms is defined by their relative position (called the concordance) and the area they have in common (called the intersection).