Toward Dialogue Modeling: A Semantic Annotation Scheme for Questions and Answers

TL;DR

This paper introduces a semantic annotation scheme for question-answer dialogues, providing guidelines and initial machine learning experiments across multiple languages to improve dialogue understanding.

Contribution

It presents a new annotation scheme for classifying question-answer pairs and demonstrates its application and initial automatic annotation in multilingual dialogues.

Findings

Successful development of a detailed annotation scheme

Application to dialogues in English, Spanish, and Dutch

Initial machine learning experiments for automatic annotation

Abstract

The present study proposes an annotation scheme for classifying the content and discourse contribution of question-answer pairs. We propose detailed guidelines for using the scheme and apply them to dialogues in English, Spanish, and Dutch. Finally, we report on initial machine learning experiments for automatic annotation.