Abstract Researches on Remaining Useful Life (RUL) prediction of aero-engine could help
to make maintenance plans, improve operation reliabilities and reduce maintenance costs …

Dialogic emotion analysis is an emerging and important research field in natural language
processing. It aims to understand and process emotions in various forms of dialogue, such …

Abstract Emotion-Cause Pair Extraction (ECPE) is a research objective focused on
identifying and extracting all emotion-clause and cause-clause pairs from unannotated …

In real-world dialog systems, the ability to understand the user's emotions and interact
anthropomorphically is of great significance. Emotion Recognition in Conversation (ERC) is …

Conversational Speech Synthesis (CSS) aims to accurately express an utterance with the
appropriate prosody and emotional inflection within a conversational setting. While …

Sentiment classification and emotion recognition are two close related tasks in NLP.
However, most of the recent studies have treated them as two separate tasks, where the …

Few-shot emotion recognition in conversation (FSERC) aims to classify the emotion of
utterances in conversations with only a few labeled conversations. However, there is limited …

Perceiving human emotions is crucial in the realm of affective computing. As a nonverbal
biological feature, gait plays a significant role in this field, owing to its resistance to …

Utterances do not occur in isolation in dialogues; it is essential to have the information of
who the speaker of an utterance is to be able to recover the speaker's intention with respect …

Abstract Emotion Recognition in Conversations (ERC) is the task of identifying the emotions
of utterances from speakers in a conversation, which is beneficial to many applications. In …