While sentiment analysis systems try to determine the sentiment polarities of given targets
based on the key opinion expressions in input texts, in implicit sentiment analysis (ISA) the …

In contrast to earlier ABSA studies primarily concentrating on individual sentiment
components, recent research has ventured into more complex ABSA tasks encompassing …

As one of the core video semantic understanding tasks, Video Semantic Role Labeling
(VidSRL) aims to detect the salient events from given videos, by recognizing the predict …

While existing Aspect-based Sentiment Analysis (ABSA) has received extensive effort and
advancement, there are still gaps in defining a more holistic research target seamlessly …

Unlike empathetic dialogues, the system in emotional support conversations (ESC) is
expected to not only convey empathy for comforting the help-seeker, but also proactively …

In the rapidly evolving field of conversational AI, Ontology Expansion (OnExp) is crucial for
enhancing the adaptability and robustness of conversational agents. Traditional models rely …

Aspect-based sentiment analysis (ABSA) represents a crucial field of natural language
processing (NLP). It focuses on deriving detailed sentiment insights from textual content …

Abstract Question Answering over Knowledge Graphs (KGQA) blends natural language
processing with structured knowledge representation. While much attention of existing …

The multimodal emotion-cause pair extraction (MECPE) task aims to detect the emotions,
causes, and emotion-cause pairs from multimodal conversations. Existing methods for this …

Aspect sentiment quad prediction (ASQP) is a challenging yet significant subtask in aspect-
based sentiment analysis as it provides a complete aspect-level sentiment structure …