Natural language processing: a knowledge-engineering approach
Natural language processing: a knowledge-engineering approach
I3R: a new approach to the design of document retrieval systems
Journal of the American Society for Information Science
Incorporating syntactic information into a document retrieval strategy: an investigation
Proceedings of the 9th annual international ACM SIGIR conference on Research and development in information retrieval
Proceedings of the 9th annual international ACM SIGIR conference on Research and development in information retrieval
User-specified domain knowledge for document retrieval
Proceedings of the 9th annual international ACM SIGIR conference on Research and development in information retrieval
Extended Boolean information retrieval
Communications of the ACM
Transition network grammars for natural language analysis
Communications of the ACM
Information Retrieval
Conceptual Information Processing
Conceptual Information Processing
Natural language techniques for intelligent information retrieval
SIGIR '88 Proceedings of the 11th annual international ACM SIGIR conference on Research and development in information retrieval
ALLOY: an amalgamation of expert, linguistic and statistical indexing methods
SIGIR '88 Proceedings of the 11th annual international ACM SIGIR conference on Research and development in information retrieval
Retrieving documents by plausible inference: a priliminary study
SIGIR '88 Proceedings of the 11th annual international ACM SIGIR conference on Research and development in information retrieval
Development of a large, concept-oriented database for information retrieval
SIGIR '88 Proceedings of the 11th annual international ACM SIGIR conference on Research and development in information retrieval
Automatic text indexing using complex identifiers
DOCPROCS '88 Proceedings of the ACM conference on Document processing systems
Indexing medical reports in a multimedia environment: the RIME experimental approach
SIGIR '89 Proceedings of the 12th annual international ACM SIGIR conference on Research and development in information retrieval
On the application of syntactic methodologies in automatic text analysis
SIGIR '89 Proceedings of the 12th annual international ACM SIGIR conference on Research and development in information retrieval
An incrementally extensible document retrieval system based on linguistic and logical principles
SIGIR '92 Proceedings of the 15th annual international ACM SIGIR conference on Research and development in information retrieval
HyperFile: a data and query model for documents
The VLDB Journal — The International Journal on Very Large Data Bases
Exploring term dependences in probabilistic information retrieval model
Information Processing and Management: an International Journal
Probabilistic information retrieval model for a dependency structured indexing system
Information Processing and Management: an International Journal
REXTOR: a system for generating relations from natural language
RANLPIR '00 Proceedings of the ACL-2000 workshop on Recent advances in natural language processing and information retrieval: held in conjunction with the 38th Annual Meeting of the Association for Computational Linguistics - Volume 11
A syntactically-based query reformulation technique for information retrieval
Information Processing and Management: an International Journal
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Toward automatic facet analysis and need negotiation: Lessons from mediated search
ACM Transactions on Information Systems (TOIS)
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Document retrieval systems have been restricted, by the nature of the task, to techniques that can be used with large numbers of documents and broad domains. The most effective techniques that have been developed are based on the statistics of word occurrences in text. In this paper, we describe an approach to using natural language processing (NLP) techniques for what is essentially a natural language problem - the comparison of a request text with the text of document titles and abstracts. The proposed NLP techniques are used to develop a request model based on “conceptual case frames” and to compare this model with the texts of candidate documents. The request model is also used to provide information to statistical search techniques that identify the candidate documents. As part of a preliminary evaluation of this approach, case frame representations of a set of requests from the CACM collection were constructed. Statistical searches carried out using dependency and relative importance information derived from the request models indicate that performance benefits can be obtained.