Data Structure ?
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Data Structure ?
*The above analysis is the result extracted and analyzed by the system, and the specific actual data shall prevail.
README.md
自然言語処理による強化された人気のある特徴を適用して、GMB（グロニンゲン意味銀行）コーパスを用いた注釈付きコーパスの固有表現認識を行い、データセットに対するエンティティ分類を行います。
内容
このデータセットは、GMBコーパスから抽出されたもので、タグ付けされ、注釈が付けられ、名前や場所などの固有表現を予測するための分類器を訓練するために特別に構築されています。GMBは非常に多くの注釈が付けられた比較的大規模なコーパスです。残念ながら、GMBは完璧ではありません。これはゴールドスタンダードのコーパスではなく、つまり完全に人間によって注釈付けされておらず、100％正しいとは見なされていません。このコーパスは既存の注釈付けツールを使用して作成され、必要な箇所で人間によって修正されています。
添付のデータセットはタブ区切り形式で、目的は「タグ」列を分類する良いモデルを作成することです。データはIOBタグ付けシステムを使用してラベル付けされています。
このデータセットには以下のクラスがあります -
geo = 地理的エンティティ
org = 組織
per = 人物
gpe = 地理政治的エンティティ
tim = 時間指示子
art = 人工物
eve = イベント
nat = 自然現象
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- 1. The data originates from internet data collection or provided by service providers, and this platform offers users the ability to view and browse datasets.
- 2. This platform serves only as a basic information display for datasets, including but not limited to image, text, video, and audio file types.
- 3. Basic dataset information comes from the original data source or the information provided by the data provider. If there are discrepancies in the dataset description, please refer to the original data source or service provider's address.
- 1. All datasets on this site are copyrighted by their original publishers or data providers.
- 1. If you need to repost data from this site, please retain the original data source URL and related copyright notices.
- 1. If any data on this site involves infringement, please contact us promptly, and we will arrange for the data to be taken offline.
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