ACM Computing Surveys (CSUR) - Annals of discrete mathematics, 24
Advanced feedback methods in information retrieval
Journal of the American Society for Information Science
Multikey access methods based on superimposed coding techniques
ACM Transactions on Database Systems (TODS)
Implementing ranking strategies using text signatures
ACM Transactions on Information Systems (TOIS)
Automatic text processing
VLDB '88 Proceedings of the 14th International Conference on Very Large Data Bases
Experiments in Automatic Phrase Indexing For Document Retrieval: A Comparison of Syntactic and Non-Syntactic Methods
Retrieval activities in a database consisting of heterogeneous collections of structured text
SIGIR '92 Proceedings of the 15th annual international ACM SIGIR conference on Research and development in information retrieval
Exploiting sophisticated representations for document retrieval
ANLC '94 Proceedings of the fourth conference on Applied natural language processing
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Our work involves the study of the extent to which natural language processing techniques aid the automatic indexing and retrieval of documents. In this paper we describe the use of signature files in large text retrieval systems. We show that good performance can be obtained without requiring the significant overheads required for the inverted file technique. We examine the use of syntactic analysis of the text in all stages of retrieval and argue that an initial Boolean query should be performed that provides a subset of documents, which are then ranked. We then give an algorithm for generating such queries, taking into account the syntactic structure of the queries.