方法证据记录
Semantic Role Labeling
Semantic role labeling, introduced by Gildea and Jurafsky in 2002, is a natural-language-processing task that assigns semantic roles — who did what to whom, where, when, and how — to the components around a verb (predicate) in a sentence. It turns plain text into structured predicate-argument representations and is a foundational tool for event extraction.
源记录
引文逐字复制自方法源记录。这些引文不代表任何层级的验证。
Semantic Role Labeling (SRL)
分类方法记录 · process-pipeline / text-mining
- Gildea, D. & Jurafsky, D. (2002). Automatic Labeling of Semantic Roles. Computational Linguistics, 28(3), 245-288. · DOI 10.1162/089120102760275983
- Shi, P. & Lin, J. (2019). Simple BERT Models for Relation Extraction and Semantic Role Labeling. arXiv:1904.05255. · URL
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