Results 31 to 40 of about 8,093 (292)
RoBERTa-CoA: RoBERTa-Based Effective Finetuning Method Using Co-Attention
IEEE Access, 2023 In the field of natural language processing, artificial intelligence (AI) technology has been utilized to solve various problems, such as text classification, similarity measurement, chatbots, machine translation, and machine reading comprehension ...
Jeong-Hoon Kim +5 more
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Event Extraction Method Based on Conversational Machine Reading Comprehension Model [PDF]
Jisuanji kexue, 2023 Event extraction aims to extract structured information automatically from massive unstructured texts to help people quickly understand the latest developments of events.Traditional methods are mainly implemented by classification or sequence labeling ...
LIU Luping, ZHOU Xin, CHEN Junjun, He Xiaohai, QING Linbo, WANG Meiling
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RoR: Read-over-Read for Long Document Machine Reading Comprehension [PDF]
Findings of the Association for Computational Linguistics: EMNLP 2021, 2021 Accepted as findings of ...
Jing Zhao +6 more
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Investigating Prior Knowledge for Challenging Chinese Machine Reading Comprehension
Transactions of the Association for Computational Linguistics, 2020 Machine reading comprehension tasks require a machine reader to answer questions relevant to the given document. In this paper, we present the first free-form multiple-Choice Chinese machine reading Comprehension dataset ...
Sun, Kai +3 more
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Cross-Lingual Machine Reading Comprehension [PDF]
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), 2019 10 pages, accepted as a conference paper at EMNLP-IJCNLP 2019 (long paper)
Yiming Cui 0001 +5 more
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A Survey on Explainability in Machine Reading Comprehension
CoRR, 2020 This paper presents a systematic review of benchmarks and approaches for explainability in Machine Reading Comprehension (MRC). We present how the representation and inference challenges evolved and the steps which were taken to tackle these challenges. We also present the evaluation methodologies to assess the performance of explainable systems.
Mokanarangan Thayaparan +2 more
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Towards Confident Machine Reading Comprehension
CoRR, 2021 There has been considerable progress on academic benchmarks for the Reading Comprehension (RC) task with State-of-the-Art models closing the gap with human performance on extractive question answering. Datasets such as SQuAD 2.0 & NQ have also introduced an auxiliary task requiring models to predict when a question has no answer in the text ...
Rishav Chakravarti, Avirup Sil
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BioMRC: A Dataset for Biomedical Machine Reading Comprehension [PDF]
Proceedings of the 19th SIGBioMed Workshop on Biomedical Language Processing, 2020 10 pages, 4 figures, 5 ...
Dimitris Pappas +3 more
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UDDIPOK: A reading comprehension based question answering dataset in Bangla language
Data in Brief, 2023 The popularity of reading comprehension (RC) is increasing day-to-day in Bangla Natural Language Processing (NLP) research area, both in machine learning and deep learning techniques.
Tanjim Taharat Aurpa +4 more
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Benchmarking Robustness of Machine Reading Comprehension Models [PDF]
Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, 2021 Machine Reading Comprehension (MRC) is an important testbed for evaluating models' natural language understanding (NLU) ability. There has been rapid progress in this area, with new models achieving impressive performance on various benchmarks. However, existing benchmarks only evaluate models on in-domain test sets without considering their robustness
Chenglei Si +5 more
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