Océ at CLEF 2003
نویسندگان
چکیده
This report describes the work done at Océ Research for the Cross-Language Evaluation Forum (CLEF) 2003. This year we participated in seven mono-lingual tasks (all languages except Russian). We used the BM25 model, a probabilistic and (for Dutch only) a statistical model to rank documents. Knowledge Concepts’ Content Enabler semantic network was used (for statistical model only) for stemming, and query expansion. Our main goals were to compare the BM25 model and the probabilistic model, and to evaluate the performance of a statistical model that uses ‘knowledge’ from queries and relevance assessments from previous years. Furthermore, we give some comments on the standard performance measures used by CLEF.
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This report describes the work done by the Information Retrieval Group at Océ Technologies B.V., for the 2002 edition of the Cross-Language Evaluation Forum (CLEF). We have participated in the mono, cross and multilingual tasks, using BM25 for ranking, Ergane, Logos and BabelFish for translations and the Knowledge Concepts semantic network for stemming and morphological expansion.
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