Vitalie Scurtu

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In this paper, we present our system for Named Entity Recognition (NER), as one of the significantly important preliminary steps prior to main Natural Language Processing tasks, based on Support Vector Machines and feature extraction and selection. The system performed the third best on the task of Italian NER at EVALITA 2009, with an overall F-measure of(More)
Named Entity Recognition (NER) is sub task of Information Extraction that includes identification of named entities and classification of them into named entity classes such as person, location and organization etc. NER can be used to preprocess textual information and convert it into structured form that can be useful for Information Retrieval, Machine(More)
The new generation of semantic search engines tends to exploit more and deeper semantic content of documents and queries. As the WEB is emerging to Semantic Web, a new evaluation method is needed for improving the current Information Retrieval Systems. The upcoming generation of Information Retrieval Systems are more document content centric and it has been(More)
Question answering systems use information retrieval (IR) and information extraction (IE) methods to retrieve documents containing a valid answer. Question classification plays an important role in the question answer frame to reduce the gap between question and answer. This paper presents our research work on automatic question classification through(More)
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