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SParseval Metrics.pdf

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Preview of SParseval Metrics
🔗 Source: lrec-conf.org
📊 Size: 1.63 MB
📄 Pages: 6 pages
⬇️ Downloads: 128

Summary

SParseval is a tool for evaluating parsing performance on spoken language, addressing the need for metrics that can handle mismatches in words and segmentations due to automatic speech recognition (ASR) errors. It implements various metrics, including alignment-based bracket evaluation, alignment-based dependency evaluation, and dependency evaluation without alignment. The tool is designed to support both speech-based and traditional text-based scoring methods, utilizing word-level alignments to assign constituent spans for bracket score calculation. It also provides scores based on head dependencies extracted from test and gold trees, with options for labeled or unlabeled bracket or dependency metrics.

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Description

SParseval is a tool for evaluating parsing performance on spoken language, addressing the need for metrics that can handle mismatches in words and...

Technical Information

  • File Format: PDF
  • File Size: 1.63 MB
  • Pages: 6
  • Language: EN
  • Total Downloads: 128
  • Last Updated: 3 weeks ago

Document Overview

This PDF document about SParseval Metrics provides comprehensive information and guidance. Whether you're a beginner or advanced user, this resource offers valuable insights into SParseval Metrics.

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