Fusion and optimization based on relevance judgements have proven to be successful strategies in information retrieval. In this year's CLEF campaign we applied these strategi...
The current expansion in collections of natural language based digital documents in various media and languages is creating challenging opportunities for automatically accessing t...
In this paper we look at the problem of cleansing noisy text using a statistical machine translation model. Noisy text is produced in informal communications such as Short Message...
Danish Contractor, Tanveer A. Faruquie, L. Venkata...
—We present an information retrieval model for combining evidence from concept-based semantics, term statistics, and context for improving search precision of genomics literature...
In this paper, we propose a new learning method for extracting bilingual word pairs from parallel corpora in various languages. In cross-language information retrieval, the system...