WebOct 17, 2024 · In this paper, a Chinese reading comprehension algorithm, called the Attention and Conditional Random Filed (AT-CRF) Reader, is proposed to address the above challenges. Firstly, RoBERTa, a... WebClassical Chinese Primer is meant to be an attempt to address the urgent need in the teaching and learning of Classical Chinese. Designed for those who have studied Modern Chinese for one or two years, but who have had no exposure to Classical Chinese before, Classical Chinese Primer is in a set of two volumes: the reader itself and a workbook.
Distill BERT to Traditional Models in Chinese Machine Reading ...
WebOct 17, 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. WebPractice reading. Some of our students do well in other areas for Chinese, but don’t put in much effort for doing Chinese comprehension practices. That’s the main reason why … duties of financial officer
DRCD: a Chinese Machine Reading Comprehension Dataset
WebApr 21, 2024 · In this paper, we present the first free-form multiple-Choice Chinese machine reading Comprehension dataset (C^3), containing 13,369 documents (dialogues or more formally written mixed-genre texts) and their associated 19,577 multiple-choice free-form questions collected from Chinese-as-a-second-language examinations. WebMar 21, 2024 · However, due to the complicated structure of an event, human annotation for this task is costly, and the issue of inadequacy of training data has long hampered the study. In this study, we propose a novel approach to mitigating the data sparsity problem faced by document-level EAE, by linking the task with machine reading comprehension (MRC). WebOct 19, 2024 · The entity recognition of Chinese electronic medical record is of great significance to medical decision-making. The main process of entity recognition is sequence tagging, which has problems such as nested entity and boundary prediction. In this paper, we proposed a NER method called Bert-MRC-Biaffine, which formulates the NER as an … in a tub cheese