One of the fundamental cues is politeness, which linguistically possesses properties such as social manners useful in conversational analysis.
These neural models annotate the emotion corpora with dialogue act labels, and an ensemble annotator extracts the final dialogue act label.
Service robots need to show appropriate social behaviour in order to be deployed in social environments such as healthcare, education, retail, etc.
Spoken language understanding is one of the key factors in a dialogue system, and a context in a conversation plays an important role to understand the current utterance.
Dialogue act recognition is an important part of natural language understanding.
Ranked #10 on Dialogue Act Classification on Switchboard corpus
Recent approaches for dialogue act recognition have shown that context from preceding utterances is important to classify the subsequent one.
Ranked #9 on Dialogue Act Classification on Switchboard corpus
Given the text of a tweet and its emotion category (anger, joy, fear, and sadness), the participants were asked to build a system that assigns emotion intensity values.