1 / 4

Semantic Role Labeling on Nouns: Enhancing NomBank with Additional Information and Extensions

This study focuses on labeling the arguments of nouns in text using Semantic Role Labeling, specifically adapting the NomBank system with additional information and extensions. It is distinct from parsing PropBank and NomBank, utilizing the WSJ corpus and Penn Treebank. The enhancements aim to establish similarities, linkages, and rephrasing for clearer semantic role labeling of nouns.

agnesthompson
Download Presentation

Semantic Role Labeling on Nouns: Enhancing NomBank with Additional Information and Extensions

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Semantic Role Labeling on Nouns Shivaram Lingamneni and Jason Turner-Maier

  2. Semantic Role Labeling • Labeling the arguments of a word • E.g., patient/agent • Distinct from parsing

  3. PropBank and NomBank • The WSJ corpus • Penn Treebank • PropBank for verbs • NomBank for nouns

  4. Adapting the system • Similarities • Additional information in NomBank • Extensions • Linkages • Rephrasing

More Related