Automatic phrase indexing for document retrieval
SIGIR '87 Proceedings of the 10th annual international ACM SIGIR conference on Research and development in information retrieval
Experiments in Automatic Phrase Indexing For Document Retrieval: A Comparison of Syntactic and Non-Syntactic Methods
Parse fitting and prose fixing: getting a hold on ill-formedness
Computational Linguistics - Special issue on ill-formed input
Extracting semantic hierarchies from a large on-line dictionary
ACL '85 Proceedings of the 23rd annual meeting on Association for Computational Linguistics
Termight: Coordinating Humans and Machines in Bilingual Terminology Acquisition
Machine Translation
Learning Algorithms for Keyphrase Extraction
Information Retrieval
Applications of term identification technology: domain description and content characterisation
Natural Language Engineering
Termight: identifying and translating technical terminology
ANLC '94 Proceedings of the fourth conference on Applied natural language processing
A corpus-based statistical approach to automatic book indexing
ANLC '92 Proceedings of the third conference on Applied natural language processing
A syntactically-based query reformulation technique for information retrieval
Information Processing and Management: an International Journal
Overview and semantic issues of text mining
ACM SIGMOD Record
Hi-index | 0.00 |
Automatic book indexing systems are based on the generation of phrase structures capable of reflecting text content. Some approaches are given for the automatic construction of back-of-book indexes using a syntactic analysis of the available texts, followed by the identification of nominal constructions, the assignment of importance weights to the term phrases, and the choice of phrases as indexing units.