Fine-grained entity typing (FET) is the task of identifying specific entity types at a fine-grained
level for entity mentions based on their contextual information. Conventional methods for …

Abstract Topic-Dependent Argument Mining (TDAM), that is extracting and classifying
argument components for a specific topic from large document sources, is an inherently …

For a viewpoint-diverse news recommender, identifying whether two news articles express
the same viewpoint is essential. One way to determine" same or different" viewpoint is …

Topic-specificity is often seen as a limitation of stance detection models and datasets,
especially for analyzing political and societal debates. However, stances contain topic …

Argument mining usually operates on short, decontextualized argumentative units such as
main and subordinate clauses, or full sentences as proxies for arguments. Argumentation in …

Good scientific writing makes use of specific sentence and paragraph structures, providing a
rich platform for discourse analysis and developing tools to enhance text readability. In this …