Identifying temporal and subevent relationships between different events (ie, event relation
extraction) is an important step towards event-centric natural language processing, which …

Event extraction (EE) is an essential task of information extraction, which aims to extract
structured event information from unstructured text. Most prior work focuses on extracting flat …

Relation Extraction (RE) is a fundamental task of information extraction, which has attracted
a large amount of research attention. Previous studies focus on extracting the relations …

The rapid development of aspect-based sentiment analysis (ABSA) within recent decades
shows great potential for real-world society. The current ABSA works, however, are mostly …

Dialogue Aspect-based Sentiment Quadruple (DiaASQ) is a newly-emergent task aiming to
extract the sentiment quadruple (ie, targets, aspects, opinions, and sentiments) from …

Emotion cause pair extraction (ECPE), as one of the derived subtasks of emotion cause
analysis (ECA), shares rich inter-related features with emotion extraction (EE) and cause …

Unsupervised keyphrase extraction (UKE) aims to detect out a set of keyphrases of a
document without using any annotation signal for training the UKE model. Existing UKE …

Current Multimodal Knowledge Graph Construction (MKGC) models struggle with the real-
world dynamism of continuously emerging entities and relations, often succumbing to …

Empathetic response generation is a crucial task in natural language processing, enabling
emotionally resonant machine–human interactions. In this paper, we introduce the InfRa …

Discovering new slots is critical to the success of dialogue systems. Most existing methods
rely on automatic slot induction in unsupervised fashion or perform domain adaptation …