Question-answering versus machine reading comprehension: Neural machine reading comprehension using transformer models · CHRIST (Deemed To Be University) Institutional Repository

Title: Question-answering versus machine reading comprehension: Neural machine reading comprehension using transformer models
Description: Natural Language Processing and Information Retrieval: Principles and Applications pp.209-229
Creator: Varghese N.; Punithavalli M.
Source: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85176867674&doi=10.1201%2f9781003244332-9&partnerID=40&md5=a0000a5c327f7faa771b94d5f30d11d1
Date: 2023-01-01

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Citation

Varghese N.; Punithavalli M., “Question-answering versus machine reading comprehension: Neural machine reading comprehension using transformer models,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 11, 2025, https://archives.christuniversity.in/items/show/8753.

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