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Database Creation for Marathi QA System

Authors: Bharat A. Shelke; Ramesh R. Naik; Namrata Mahender C;

Database Creation for Marathi QA System

Abstract

The use of the internet has grown extremely over the last two decades, resulting in the proliferation of massive volumes of data on the internet. Since there is so much data available online, researchers are interested in the Question Answering era, in which users ask questions and obtain correct answers. A classic NLP programme is answering questions although work on some Indian regional languages, such as Tamil, Punjabi, Hindi, Malayalam, and Bengali, is ongoing; there is little work available for Question Answering (QA) Systems in Marathi. The construction of a text corpus, question generation, and question classification for a Marathi question answering method were the key topics of this paper.

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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