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Natural language information retrieval in digital libraries
1996
Proceedings of the first ACM international conference on Digital libraries - DL '96
In this paper we report on some recent developments in joint NYU and GE natural language information retrieval system. The main characteristic of this system is the use of advanced natural language processing to enhance the effectiveness of term-based document retrieval. The system is designed around a traditional statistical backbone consisting of the indexer module, which builds inverted index files from pre-processed documents, and a retrieval engine which searches and ranks the documents in
doi:10.1145/226931.226954
dblp:conf/dl/StrzalkowskiCM96
fatcat:ynrz5nablradpn5cdh5bpa4rde