Papers with NomBank
Semantic Role Labeling of NomBank Partitives (2025.coling-main)
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| Challenge: | Semantic role labeling (SRL) is a way to represent semantic concepts via labeled predicate/argument pairs. |
| Approach: | They describe a semantic role labeling task that uses a set of predicate/argument pairs to represent semantic concepts. |
| Outcome: | The 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. |
Crowdsourcing Question-Answer Meaning Representations (N18-2)
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| Challenge: | Existing datasets for predicate-argument relationships are lacking highly skilled and trained annotators. |
| Approach: | They propose a crowdsourcing scheme to generate question-answer pairs that represent predicate-argument relationships in sentences as a set of question-announcer pairs. |
| Outcome: | The proposed model covers the vast majority of predicate-argument relationships in existing datasets along with many previously under-resourced ones, including implicit arguments and relations. |