ExpMRC: explainability evaluation for machine reading comprehension-Reference-Cited by-同舟云学术

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ExpMRC: explainability evaluation for machine reading comprehension

Published:2022-04 Issue:4 Volume:8 Page:e09290
ISSN:2405-8440
Container-title:Heliyon
language:en
Short-container-title:Heliyon

Author:

Cui Yiming^ORCID,Liu Ting,Che Wanxiang,Chen Zhigang,Wang Shijin

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference30 articles.

1. Teaching machines to read and comprehend;Hermann,2015

2. The Goldilocks principle: reading children's books with explicit memory representations;Hill,2016

3. Squad: 100,000+ questions for machine comprehension of text;Rajpurkar,2016

4. Race: large-scale reading comprehension dataset from examinations;Lai,2017

5. A span-extraction dataset for Chinese machine reading comprehension;Cui,2019

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1. A T5-based interpretable reading comprehension model with more accurate evidence training;Information Processing & Management;2024-03

2. Gain more with less: Extracting information from business documents with small data;Expert Systems with Applications;2023-04

3. U3E: Unsupervised and Erasure-based Evidence Extraction for Machine Reading Comprehension;2022 IEEE 8th International Conference on Cloud Computing and Intelligent Systems (CCIS);2022-11-26

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