Equipping 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 …

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

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 …

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 …

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 …

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

When assessing the similarity of arguments, researchers typically use approaches that do
not provide interpretable evidence or justifications for their ratings. Hence, the features that …

The importance of query performance prediction has been widely acknowledged in the
literature, especially for query expansion, refinement, and interpolating different retrieval …

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