Sökning: "dialogue act classification"
Hittade 3 uppsatser innehållade orden dialogue act classification.
1. Machine Learning to minimize the human efforts in annotating the RDG-Map dialogue acts
Master-uppsats, Uppsala universitet/Institutionen för informationsteknologiSammanfattning : Annotation is the process of labelling data and when this is done manually can be a very time-consuming and mentally straining job for the particular type of data. Dialogue acts are conversational interactions and annotating them manually will be a difficult task. LÄS MER
2. A semi-supervised approach to dialogue act classification using K-Means+HMM
Master-uppsats, KTH/Skolan för datavetenskap och kommunikation (CSC)Sammanfattning : Dialogue act (DA) classification is an important step in the process of developing dialog systems. DA classification is a problem usually solved by supervised machine learning (ML) approaches that all require hand labeled data. LÄS MER
3. A Machine Learning Approach to Dialogue Act Classification in Human-Robot Conversations : Evaluation of dialogue act classification with the robot Furhat and an analysis of the market for social robots used for education
Kandidat-uppsats, KTH/Skolan för datavetenskap och kommunikation (CSC); KTH/Skolan för industriell teknik och management (ITM)Sammanfattning : The interest in social robots has grown dramatically in the last decade. Several studies have investigated the potential markets for such robots and how to enhance their human-like abilities. Both of these subjects have been investigated in this thesis using the company Furhat Robotics, and their robot Furhat, as a case study. LÄS MER