In the literature, machine reading comprehension can be divide into four categories: cloze style, multiple choice, span prediction, and free-form answer.

Machine Reading Comprehension is one of the key problems in Natural Language Understanding, where the task is to read and comprehend a given text passage, ...

15 июл. 2021 г. · Machine Reading Comprehension is the task of building a system that understands the passage to answer questions related to it.

29 апр. 2024 г. · This study looks into the development and optimization of language reading comprehension aids based on Natural Language Processing (NLP) and ...

In this work, we use NLI to perform the task of multiple choice reading comprehension (MRC, or. RC). We analyse the performance of an NLI model on this task ...

The present study was an attempt to investigate the effect of NLP techniques on reading comprehension of English as a Foreign Language (EFL) learners.

A NLP based application that takes as input a text in Basque or English, and offers synonyms, definitions, examples of the words in different contexts.

1 апр. 2024 г. · The NLP-based strategy proposed in the paper shows significant advantages in both efficiency and accuracy, and helps to improve English learners ...

In this section we present the analysis of our Reading and Comprehension system and how it performs from time and accuracy perspectives. 5.1 Accuracy. Train.

21 июн. 2020 г. · Abstract:Machine Reading Comprehension (MRC) is a challenging Natural Language Processing(NLP) research field with wide real-world applications.