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Cast3LB-CoNNL-SemRol : A Seed Corpus For Machine Learning Experiments.pdf

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Preview of Cast3LB-CoNNL-SemRol : A Seed Corpus for Machine Learning Experiments
🔗 Source: birmingham.ac.uk
📊 Size: 41 KB
👤 Author: Mr. Davies
⬇️ Downloads: 99

Summary

The Cast3LB-CoNLL-SemRol Corpus is a seed corpus for machine learning experiments, annotated with semantic roles as part of a project researching semiautomatic techniques for semantic role labeling. The corpus contains 89,199 words in 3,303 sentences, with 11,023 verb forms and 1,443 lemmas, and is used to train a semantic role labeller to annotate a larger corpus using active learning techniques. The annotation scheme is compared to those of FrameNet and PropBank, with the goal of generalizing semantic relations to have as few roles as possible. The corpus has been used to train dependency parsers and a semantic role labeller, with initial results and conclusions presented in the paper.

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The Cast3LB-CoNLL-SemRol Corpus is a seed corpus for machine learning experiments, annotated with semantic roles as part of a project researching semiautomatic...

Technical Information

  • File Format: PDF
  • File Size: 41 KB
  • Pages: 2
  • Language: EN
  • Author: Mr. Davies
  • Total Downloads: 99
  • Last Updated: 4 hours ago

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