Equip** machines with comprehensive knowledge of the world's entities and their
relationships has been a longstanding goal of AI. Over the last decade, large-scale …

With the abundant amount of available online and offline text data, there arises a crucial
need to extract the relation between phrases and summarize the main content of each …

Distant supervision assumes that any sentence containing the same entity pairs reflects
identical relationships. Previous works of distantly supervised relation extraction (DSRE) …

While argument mining has achieved significant success in classifying argumentative
relations between statements (support, attack, and neutral), we have a limited computational …

Despite extensive research efforts in recent years, computational argumentation (CA)
remains one of the most challenging areas of natural language processing. The reason for …

Generating high-quality arguments, while being challenging, may benefit a wide range of
downstream applications, such as writing assistants and argument search engines …

A fundamental issue in healthcare misinformation detection is the lack of timely resources
(eg, medical knowledge, annotated data), making it challenging to accurately detect …

Social media platforms have become an essential venue for online deliberation where users
discuss arguments, debate, and form opinions. In this paper, we propose an unsupervised …

Event Causality Identification (ECI) aims to detect whether there exists a causal relation
between two events in a document. Existing studies adopt a kind of identifying after learning …

Traditional sentiment analysis methods pay little attention to the inseparable relations
between evaluation words and evaluation aspects, and the relations between evaluation …