| Challenge: | Surgical practice has steadily improved thanks to the support of the approaches made available by observational science. |
| Approach: | They propose to extract from robot-surgical texts verbs and nouns that describe surgical actions and extend PropBank frames by adding any of new lemmas, frames or role sets required to cover missing lemae. |
| Outcome: | The proposed resource can be used to train and evaluate Semantic Role Labeling (SRL) systems in a fine-grained domain setting. |
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The Russian PropBank (2020.lrec-1)
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| Challenge: | Using proposition bank for Russian, we can automatically project semantic role labels from English to Russian. |
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How to Best Use Syntax in Semantic Role Labelling (P19-1)
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Syntax-driven Approach for Semantic Role Labeling (2022.lrec-1)
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