(Enter summary)
Abstract: It is a traditional belief that in order to scale-up to more effective retrieval and access methods modern Information
Retrieval has to consider more the text content. The modalities and techniques to fit this objectives are still under
discussion. More empirical evidence is required to determine the suitable linguistic levels for modeling each
IR subtask (e.g. information zoning, parsing, feature selection for indexing,...) and the corresponding use of
this information. In this paper an... (Update)
Context of citations to this paper: More
.... scalable architectures have recently received a major attention ( Carroll and Briscoe, 1996) At Mokhtar and Chanod, 1997) See (Basili et al. 2000b) for a formal proposal for modular parsing. For these reasons trends in the NLP LE area suggest the central role of...
.... to introduce more sophisticated document representation techniques, e.g. based on higher order word statistics [17, 1, 22] or NLP [11, 2], the simple minded independent word based representation, known as bag of words (BOW) remained very popular. Indeed, to date the best...
Cited by: More
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2: Customizable modular lexicalized parsing
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BibTeX entry: (Update)
Basili R., Moschitti A., and Pazienza M. T. (2000a). Language sensitive text classification. In Proceedings of RIAO '2000, Paris, Fr. http://citeseer.ist.psu.edu/basili00language.html More
@inproceedings{ basili00languagesensitive,
author = "Roberto Basili and Alessandro Moschitti and Maria T. Pazienza",
title = "Language-Sensitive Text Classification",
booktitle = "Proceeding of {RIAO}-00, 6th International Conference ``Recherche d'Information Assistee par Ordinateur''",
address = "Paris, FR",
pages = "331--343",
year = "2000",
url = "citeseer.ist.psu.edu/basili00language.html" }
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A text classifier based on linguistic processing
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