Dependency parsing for information retrieval
Proc. of the third joint BCS and ACM symposium on Research and development in information retrieval
Disambiguating prepositional phrase attachments by using on-line dictionary definitions
Computational Linguistics - Special issue of the lexicon
Using latent semantic analysis to improve access to textual information
CHI '88 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Conceptual Information Processing
Conceptual Information Processing
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
The fitted parse: 100% parsing capability in a syntactic grammar of English
ANLC '83 Proceedings of the first conference on Applied natural language processing
Automatic Information Organization and Retrieval.
Automatic Information Organization and Retrieval.
Pattern matching by Rs-operations: towards a unified approach to querying sequenced data
PODS '92 Proceedings of the eleventh ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
Matching Index Expressions for Information Retrieval
Information Retrieval
Knowledge-Based and Statistical Approaches to Text Retrieval
IEEE Expert: Intelligent Systems and Their Applications
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
Using the X-IOTA system in mono- and bilingual experiments at CLEF 2005
CLEF'05 Proceedings of the 6th international conference on Cross-Language Evalution Forum: accessing Multilingual Information Repositories
Incomplete and fuzzy conceptual graphs to automatically index medical reports
NLDB'07 Proceedings of the 12th international conference on Applications of Natural Language to Information Systems
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The Constituent Object Parser is a shallow syntactic parser designed to produce dependency tree representations of syntactic structure that can be used to specify the intended meanings of a sentence more precisely than can the key terms of the sentence alone. It is intended to improve the precision/recall performance of information retrieval and similar text processing applications by providing more powerful matching procedures. The dependency tree representation and the relationship between the intended use of this parser and its design is described, and several problems concerning the processing of ambiguous structures are discussed.