At the second-level, we reorder the retrieved documents using mutual information. We will show that our method achieves considerable retrieval effectiveness ...
At the second-level, we reorder the retrieved documents using mutual information. We will show that our method achieves considerable retrieval effectiveness ...
Semantic Scholar extracted view of "Two-Level Document Ranking Using Mutual Information in Natural Language Information Retrieval" by Hyun-Kyu Kang et al.
Two-level document ranking using mutual information in natural language information retrieval. Authors: Hyun-Kyu Kang. Hyun-Kyu Kang. View Profile. , Key-Sun ...
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A model of a natural-language information-retrieval system that is based on a two-level document-ranking method using mutual information ...
In this paper, we discuss a resolving of word sense ambiguity of information retrieval that is two-level document ranking method using mutual information.
An initial model (Stage A) is used to retrieve a sample of documents from the entire col- lection. A second model (Stage B) is used to re-rank these documents ...
Missing: Mutual | Show results with:Mutual
This model works in two phases, called levels – retrieval and reordering. Two modules are used for this model - terms indexing module and, mutual and document ...
Jun 24, 2009 · In this article we present a framework to model the two-level mutual reinforcement among sentences as well as documents. Under this framework we ...
Jan 20, 2023 · In the second stage, ranking, the main objective is to adjust the ranking of the initially retrieved documents based relevance score. The ...