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Robust Parsing For Spoken Language Understanding.pdf

H92-1060.pdf
Preview of Robust Parsing for Spoken Language Understanding
🔗 Source: aclanthology.org
📊 Size: 667 KB
👤 Author: Stephanie Seneff
⬇️ Downloads: 345

Summary

Key points include:

- Approach: The system first attempts a full linguistic analysis. If it fails, it uses a "robust" parsing mechanism to extract meaning from key phrases and clauses.
- Robust Parsing Mechanism: This involves two stages: parsing a set of phrases and clauses, and then combining them into a single semantic frame representing the sentence's meaning.
- Integration: The resulting frame is integrated into the system's existing mechanisms for database access, response generation, and history management.
- Performance: Testing on the October '91 and February '92 test sets showed that the robust parser allowed the system to answer many more questions correctly, as over a third of the sentences were not covered by the full grammar.
- History Mechanism: The system uses an inheritance mechanism similar to its discourse model to combine parsed fragments within a single sentence. It remembers everything from the internal history, as none of the pieces have been answered yet.
- Examples: The paper provides examples of robust parsing on sentences spoken by actual users, demonstrating the system's ability to produce reasonable answers to questions.

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Description

Robust parsing is achieved through minor extensions of existing components, applied after full analysis has failed. It involves parsing phrases and clauses, then gluing them together to form a single semantic frame.

Technical Information

  • File Format: PDF
  • File Size: 667 KB
  • Pages: 6
  • Language: EN
  • Author: Stephanie Seneff
  • Total Downloads: 345
  • Last Updated: 2 weeks ago

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This PDF document about Robust Parsing for Spoken Language Understanding provides comprehensive information and guidance. Whether you're a beginner or advanced user, this resource offers valuable insights into Robust Parsing for Spoken Language Understanding.

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Robust guideRobust tutorialParsing guideParsing tutorialSpoken guideSpoken tutorialLanguage guideLanguage tutorialUnderstanding guideUnderstanding tutorial

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