
doi: 10.2139/ssrn.3852112
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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