Web19. okt 2024 · We utilized the MRC task span extraction, which introduces prior knowledge … Web23. nov 2024 · In order to address this issue, herein, (1) we propose four MRC tasks with different answer length distributions, namely, the short span extraction task, long span extraction task, short multiple-choice cloze task, and long multiple-choice cloze task; (2) four Chinese MRC datasets are created for these tasks; (3) we also have pretrained four …

Research on Cross-lingual Machine Reading Comprehension

Web17. okt 2024 · Machine Reading Comprehension (MRC) has become enormously popular recently and has attracted a lot of attention. However, the existing reading comprehension datasets are mostly in English. In this paper, we introduce a Span-Extraction dataset for Chinese Machine Reading Comprehension to add language diversities in this area. Web1. apr 2024 · The MRC model should not only extract an answer span or select an answer … ekonomia co to jest studia

【技术白皮书】第三章：事件信息抽取的方法 机器之心

Web(RECONSIDER) for span-extraction tasks that improves upon the performance of MRC mod-els, even beyond large-scale pre-training. RE-CONSIDER is trained on positive and nega-tive examples extracted from high confidence MRC model predictions, and uses in-passage span annotations to perform span-focused re-ranking over a smaller candidate set. As ... WebMRC dataset. • SQuAD (Rajpurkar et al.,2016) is a well-known dataset for span-extraction MRC. Given a Wikipedia passage, the MRC system should extract a passage span as the answer to the question. • CMRC 2024 (Cui et al.,2024) is also a span-extraction MRC dataset but in Chinese. Be-sides the traditional train/dev/test split, they Web28. nov 2024 · Machine Reading Comprehension (MRC) is an AI challenge that requires machines to determine the correct answer to a question based on a given passage, in which extractive MRC requires extracting an answer span to a question from a given passage, such as the task of span extraction. ekonomi unpad