Open-Domain Question Answering with Topic Clustering

Arinc Gurkan; Lakshmi Babu Saheer

doi:10.1007/978-3-031-37963-5_76

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Open-Domain Question Answering with Topic Clustering

Arinc Gurkan Lakshmi Babu Saheer

Year: 2023 Lecture notes in networks and systems Pages: 1090-1109 Publisher: Springer International Publishing

DOI: 10.1007/978-3-031-37963-5_76

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Keywords:

tf–idf Information retrieval Computer science Cluster analysis Question answering Document clustering Search engine Set (abstract data type) Vector space model Context (archaeology) Search engine indexing The Internet Classifier (UML) Document retrieval Term (time) World Wide Web Artificial intelligence Geography

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Cited By

0.00

FWCI (Field Weighted Citation Impact)

Refs

0.30

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Topics

Topic Modeling

Physical Sciences → Computer Science → Artificial Intelligence

Text and Document Classification Technologies

Physical Sciences → Computer Science → Artificial Intelligence

Information Retrieval and Search Behavior

Physical Sciences → Computer Science → Information Systems

Open-Domain Question Answering with Topic Clustering

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Topics

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