تقرير
When to generate hedges in peer-tutoring interactions
| العنوان: | When to generate hedges in peer-tutoring interactions |
|---|---|
| المؤلفون: | Abulimiti, Alafate, Clavel, Chloé, Cassell, Justine |
| المصدر: | In Proceedings of the 16th Annual Conference in Discourse and Dialogue (SIGDIAL). Sept. 11-15, Prague, Czechia (2023) |
| سنة النشر: | 2023 |
| المجموعة: | Computer Science |
| مصطلحات موضوعية: | Computer Science - Computation and Language |
| الوصف: | This paper explores the application of machine learning techniques to predict where hedging occurs in peer-tutoring interactions. The study uses a naturalistic face-to-face dataset annotated for natural language turns, conversational strategies, tutoring strategies, and nonverbal behaviours. These elements are processed into a vector representation of the previous turns, which serves as input to several machine learning models. Results show that embedding layers, that capture the semantic information of the previous turns, significantly improves the model's performance. Additionally, the study provides insights into the importance of various features, such as interpersonal rapport and nonverbal behaviours, in predicting hedges by using Shapley values for feature explanation. We discover that the eye gaze of both the tutor and the tutee has a significant impact on hedge prediction. We further validate this observation through a follow-up ablation study. Comment: In Proceedings of the 16th Annual Conference ub Discourse and Dialogue (SIGDIAL). Sept 11-15, Prague Czechia |
| نوع الوثيقة: | Working Paper |
| URL الوصول: | http://arxiv.org/abs/2307.15582 |
| رقم الأكسشن: | edsarx.2307.15582 |
| قاعدة البيانات: | arXiv |
| الوصف غير متاح. |