Natural language information retrieval
TREC-2 Proceedings of the second conference on Text retrieval conference
Use of weighted finite state transducers in part of speech tagging
Extended finite state models of language
A symbolic and surgical acquisition of terms through variation
Connectionist, Statistical, and Symbolic Approaches to Learning for Natural Language Processing
Expansion of multi-word terms for indexing and retrieval using morphology and syntax
ACL '98 Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics and Eighth Conference of the European Chapter of the Association for Computational Linguistics
Symbolic word clustering for medium-size corpora
COLING '96 Proceedings of the 16th conference on Computational linguistics - Volume 1
Using Semantics for Efficient Information Retrieval
NLDB '00 Proceedings of the 5th International Conference on Applications of Natural Language to Information Systems-Revised Papers
The influence of indexing practices and weighting algorithms on document spaces
Journal of the American Society for Information Science and Technology
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Although indexes may overlap, the output of an automatic indexer is generally presented as a flat and unstructured list of terms. Our purpose is to exploit term overlap and embedding so as to yield a substantial qualitative and quantitative improvement in automatic indexing through concept combination. The increase in the volume of indexing is 10.5% for free indexing and 52.3% for controlled indexing. The resulting structure of the indexed corpus is a partial conceptual analysis.