Abstract
Our Japanese information retrieval method using both dependency relation-ship between words and their semantic information, which we call DRB method, handles a frame that consists of a noun and a verb governing the noun as a key to judge whether or not a document is relevant to a query. This method proved that using dependency relationship in information retrieval is highly effective in terms of Precision. On the other hand, it is often too exacting to retrieve an appropriate number of documents, making Recall plunge. In order to solve this problem, we incorporate DRB method into a probabilistic method so that it scores and ranks documents with statistical information. In the experiments we compare performance of the incorporated methods, (A) Respective Frame matching with 2-Poisson Model and (B) Frame matching with 2-Poisson Model, with other four information retrieval methods, (C) 2-Poisson Model, (D) NEAR matching, (E) AND matching and (F) Frame matching, by utilizing BMIR-J21. Respective Frame matching retrieves every document that has an identical frame with at least one of a query’s frames while Frame matching retrieves documents that have the identical frames with the query’s frames.
Tsuyoshi Kitani, “BMIR-J2 test collection for evaluating Japanese information retrieval system”, Proc. of Information Processing Society of Japan 98-DBS-1143, 1998
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsAuthor information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2000 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Fujitani, H., Mine, T., Amamiya, M. (2000). Incorporation of Japanese Information Retrieval Method Using Dependency Relationship into Probabilistic Retrieval. In: Mizoguchi, R., Slaney, J. (eds) PRICAI 2000 Topics in Artificial Intelligence. PRICAI 2000. Lecture Notes in Computer Science(), vol 1886. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44533-1_114
Download citation
DOI: https://doi.org/10.1007/3-540-44533-1_114
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-67925-7
Online ISBN: 978-3-540-44533-3
eBook Packages: Springer Book Archive