Use of Deep Linguistic Features for the Recognition and Labeling of Semantic Arguments

We use deep linguistic features to predict semantic roles on syntactic arguments, and show that these perform considerably better than surface-oriented features. We also show that predicting labels from a "lightweight" parser that generates deep syntactic features performs comparably to using a full parser that generates only surface syntactic features.

• Publication year

  2003

• Venue

  Conference on Empirical Methods in Natural Language Processing

• Publication date

  2003-07-11

• Fields of study

  Linguistics, Computer Science

• Identifiers
  DOI 10.3115/1119355.1119361
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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