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Real-MedNLP: Overview of REAL document-based MEDical Natural Language Processing Task
https://doi.org/10.20736/0002002295
https://doi.org/10.20736/00020022959f68a295-459b-4584-aa14-c7336b9ec98a
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
01-NTCIR16-OV-MEDNLP-YadaS.pdf (2.3 MB)
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| アイテムタイプ | デフォルトアイテムタイプ（フル）(1) | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 公開日 | 2022-06-14 | |||||||||||||
| タイトル | ||||||||||||||
| タイトル | Real-MedNLP: Overview of REAL document-based MEDical Natural Language Processing Task | |||||||||||||
| 言語 | en | |||||||||||||
| 作成者 |
Shuntaro Yada
× Shuntaro Yada
× Yuta Nakamura
× Shoko Wakamiya
× Eiji Aramaki
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| 内容記述 | ||||||||||||||
| 内容記述タイプ | Abstract | |||||||||||||
| 内容記述 | A standard dataset collection is essential for the development of information science. Particularly in the medical field, in which privacy protection is a critical issue, the importance of the dataset is significant. To discuss the validness of various methods, we build the clinical text dataset, Real-MedNLP, for multiple medical tasks. The goal of Real-MedNLP is threefold: (1) Real datasets: Previous medical shared tasks, MedNLP, MedNLP2, and MedNLPDoc, were based on the pseudo dataset, which was built from medical textbooks or dummy clinical texts. This task prepares real radiology and case reports. (2) Bilingual capability: Both English and Japanese data are handled. (3) Practicality: Both fundamental (named entity recognition) and applied practical tasks are handled. This study introduces the task setting of Real-MedNLP and submitted systems. The methods mostly share the common paradigm, which is based on a fundamental language model, such as BERT, aiming to separate the resource problems. Based on their results, this study discusses the feasibility of their approaches to bring us the future direction of medical NLP. Note that the Real-MedNLP is a shared task that handles real Japanese medical texts. | |||||||||||||
| 言語 | en | |||||||||||||
| 出版者 | ||||||||||||||
| 出版者 | NII Institutional Repository | |||||||||||||
| 言語 | en | |||||||||||||
| 日付 | ||||||||||||||
| 日付 | 2022-06-14 | |||||||||||||
| 日付タイプ | Issued | |||||||||||||
| 言語 | ||||||||||||||
| 言語 | eng | |||||||||||||
| 資源タイプ | ||||||||||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_5794 | |||||||||||||
| 資源タイプ | conference paper | |||||||||||||
| ID登録 | ||||||||||||||
| ID登録 | 10.20736/0002002295 | |||||||||||||
| ID登録タイプ | JaLC | |||||||||||||
| 関連情報 | ||||||||||||||
| 関連タイプ | isReferencedBy | |||||||||||||
| 識別子タイプ | URI | |||||||||||||
| 関連識別子 | https://research.nii.ac.jp/ntcir/ntcir-16/index.html | |||||||||||||
| 言語 | en | |||||||||||||
| 関連名称 | NTCIR-16 Conference | |||||||||||||
| 開始ページ | ||||||||||||||
| 開始ページ | none | |||||||||||||
| 会議記述 | ||||||||||||||
| 会議名 | NTCIR-16 Conference | |||||||||||||
| 言語 | en | |||||||||||||
| 回次 | 16 | |||||||||||||
| 主催機関 | National Institute of Informatics | |||||||||||||
| 言語 | en | |||||||||||||
| 開始年 | 2022 | |||||||||||||
| 開始月 | 6 | |||||||||||||
| 開始日 | 14 | |||||||||||||
| 終了年 | 2022 | |||||||||||||
| 終了月 | 6 | |||||||||||||
| 終了日 | 17 | |||||||||||||
| 開催期間 | June 14-17, 2022 | |||||||||||||
| 言語 | en | |||||||||||||
| 開催会場 | National Institute of Informatics | |||||||||||||
| 言語 | en | |||||||||||||
| 開催国 | JPN | |||||||||||||
