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View all- Baradaran RGhiasi RAmirkhani H(2022)A Survey on Machine Reading Comprehension SystemsNatural Language Engineering10.1017/S1351324921000395(1-50)Online publication date: 19-Jan-2022
There have been many numerical methods developed recently that try to capture the semantic meaning of words through word vectors. In this study, we present a new way to learn word vectors using only word co-appearances and their average distances. ...
Recent advances in natural language processing (NLP) technology have been remarkable. However, NLP technology still needs to address some limitations; in particular, the method of processing text containing negation using a computer remains ...
Machine Reading and Comprehension recently has drawn a fair amount of attention in the field of natural language processing. In this paper, we consider integrating side information to improve machine comprehension on answering cloze-style questions more ...
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