PropBank Comes of Age—Larger, Smarter, and more Diverse
PropBank Comes of Age—Larger, Smarter, and more Diverse
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DOI：
10.18653/v1/2022.starsem-1.24
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发表时间：
2022
期刊：
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通讯作者：
Sameer Pradhan;Julia Bonn;Skatje Myers;Kathryn Conger;Timothy J. O'Gorman;James Gung;Kristin Wright-Bettner;Martha Palmer
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作者：
Sameer Pradhan;Julia Bonn;Skatje Myers;Kathryn Conger;Timothy J. O'Gorman;James Gung;Kristin Wright-Bettner;Martha Palmer
本文描述了PropBank方法在过去二十年中用于语义角色标注的演变。在此期间，PropBank框架文件已扩展到包括形容词、介词和多词表达等非动词谓词。PropBank的领域、流派和语言的数量也大大增加，为更具挑战性和更强大的测试PropBank语义角色标签系统的泛化能力创造了机会。我们还描述了为确保各种带注释的数据集和资源的一致性和可靠性所做的大量工作，以更好地支持此类系统的培训和评估
This paper describes the evolution of the PropBank approach to semantic role labeling over the last two decades. During this time the PropBank frame files have been expanded to include non-verbal predicates such as adjectives, prepositions and multi-word expressions. The number of domains, genres and languages that have been PropBanked has also expanded greatly, creating an opportunity for much more challenging and robust testing of the generalization capabilities of PropBank semantic role labeling systems. We also describe the substantial effort that has gone into ensuring the consistency and reliability of the various annotated datasets and resources, to better support the training and evaluation of such systems