A Taxonomy of Real-Life Questions and Answers in Dialogue
Abstract
We present a taxonomy of questions and answers based on real-life data extracted from spontaneous dialogue corpora. This classification allowed us to build a fine-grained annotation schema, which we applied to several languages: English, French, Italian and Chinese.
Origin : Files produced by the author(s)
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