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Dialogue Act Classification/Evidence
Method evidence record

Dialogue Act Classification

Dialogue act classification is a natural-language-processing task that automatically labels the communicative function of each utterance in a conversation — such as question, answer, greeting, or rejection. Consolidated by Jurafsky et al. (1997) and Stolcke et al. (2000), it is a foundational component for chatbots and discourse analysis.

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Source record

Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.

Dialogue Act Classification
Taxonomic method record · process-pipeline / text-mining
  • Stolcke, A. et al. (2000). Dialogue Act Modeling for Automatic Tagging and Recognition of Conversational Speech. Computational Linguistics, 26(3), 339-373. · DOI 10.1162/089120100561737
  • Jurafsky, D. et al. (1997). Automatic Detection of Discourse Structure for Speech Recognition and Understanding. ICASSP. · DOI 10.1109/asru.1997.658992
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Related methods

Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.

Same method familyIntent Detectionmachine-suggested · Relational suggestion, not evidence.Same method familySentiment Analysismachine-suggested · Relational suggestion, not evidence.Same method familySlot Fillingmachine-suggested · Relational suggestion, not evidence.Same method familyText Classificationmachine-suggested · Relational suggestion, not evidence.

Evidence status

Sources recorded, not reviewed

Bibliographic sources are present. Claim-level evidence review has not been performed.

Sources

2 recorded citations, copied from the method source record.

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