Semantic Role Labeling of NomBank Partitives
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arXiv
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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866909436362096640 |
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| author | Meyers, Adam Savant, Advait Pravin Ortega, John E. |
| author_facet | Meyers, Adam Savant, Advait Pravin Ortega, John E. |
| contents | This article is about Semantic Role Labeling for English partitive nouns (5%/REL of the price/ARG1; The price/ARG1 rose 5 percent/REL) in the NomBank annotated corpus. Several systems are described using traditional and transformer-based machine learning, as well as ensembling. Our highest scoring system achieves an F1 of 91.74% using "gold" parses from the Penn Treebank and 91.12% when using the Berkeley Neural parser. This research includes both classroom and experimental settings for system development. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2412_14328 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Semantic Role Labeling of NomBank Partitives Meyers, Adam Savant, Advait Pravin Ortega, John E. Computation and Language Artificial Intelligence This article is about Semantic Role Labeling for English partitive nouns (5%/REL of the price/ARG1; The price/ARG1 rose 5 percent/REL) in the NomBank annotated corpus. Several systems are described using traditional and transformer-based machine learning, as well as ensembling. Our highest scoring system achieves an F1 of 91.74% using "gold" parses from the Penn Treebank and 91.12% when using the Berkeley Neural parser. This research includes both classroom and experimental settings for system development. |
| title | Semantic Role Labeling of NomBank Partitives |
| topic | Computation and Language Artificial Intelligence |
| url | https://arxiv.org/abs/2412.14328 |