手法を比較
選択した手法を並べて確認できます。異なる行はハイライト表示されます。
| イベント検出× | 固有表現抽出（NER）× | |
|---|---|---|
| 分野 | テキストマイニング | テキストマイニング |
| 系統 | Process / pipeline | Process / pipeline |
| 提唱年 | — | — |
| 提唱者 | — | — |
| 種類≠ | NLP information-extraction task | NLP sequence-labelling task |
| 原典≠ | Doddington, G. et al. (2004). The Automatic Content Extraction (ACE) Program — Tasks, Data, and Evaluation. LREC. link ↗ | Nadeau, D. & Sekine, S. (2007). A survey of named entity recognition. Lingvisticae Investigationes. link ↗ |
| 別名≠ | event extraction, Olay Tespiti (Event Detection) | NER, entity tagging, Adlandırılmış Varlık Tanıma (NER) |
| 関連≠ | 4 | 3 |
| 概要≠ | Event detection is a natural-language-processing information-extraction task that finds events, historical developments, and action expressions in text and classifies them by type. It grew out of the Automatic Content Extraction (ACE) program described by Doddington et al. (2004) and is widely used in news analysis and historical research. | Named entity recognition (NER) is a natural-language-processing task that automatically detects and labels entities in text — such as people, organisations, locations, and dates. Surveyed by Nadeau and Sekine (2007) and later advanced with neural architectures by Lample et al. (2016), it turns free-running text into tagged spans that downstream tools can use. |
| ScholarGateデータセット ↗ |
|
|