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W03-1211.pdf
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🔗 Source: aclanthology.org
📊 Size: 92 KB
👤 Author: jding
⬇️ Downloads: 29

Summary

Most question answering (QA) systems rely on keyword index and Named Entity (NE) tagging, but they are typically designed for mixed case text. This paper presents a successful approach to QA on a case insensitive corpus by using a preprocessing module to restore the case-sensitive form, which is then fed into the unchanged QA system. The case restoration preprocessing is implemented as a Hidden Markov Model trained on a large raw corpus of case sensitive documents. The approach leads to very limited degradation in QA benchmarking (2.8%), mainly due to the limited degradation in the underlying information extraction support.

Description

Most question answering (QA) systems rely on keyword index and Named Entity (NE) tagging, but they are typically designed for mixed case text.

Technical Information

  • File Format: PDF
  • File Size: 92 KB
  • Pages: 10
  • Language: EN
  • Author: jding
  • Total Downloads: 29
  • Last Updated: 2 hours ago

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