Multi-Lingual Dialogue Act Recognition with Deep Learning Methods
Jiří Martínek and Pavel Král and Ladislav Lenc and Christophe CerisaraInterspeech 2019 (2019)
Dialogue Act Recognition | Neural Networks
NLP group
Research & development
Dialogue Act Recognition
Given the sequence of dialogue utterances (units of speech), the task is to assign them the labels representing their function in the dialogue. For the classification of the spoken utterances, we use mostly deep neural network and we also focus on multilinguality of . Most recently, our research aims for the automatic processing of dialogues in comic books.
