4 citations · 7 across the 5 of their papers we have counts for
5 papers
Evaluating Discourse Cohesion in Pre-trained Language Models
Jie He, Wanqiu Long, Deyi Xiong
Large pre-trained neural models have achieved remarkable success in natural language process (NLP), inspiring a growing body of research analyzing their ability from different aspe…
Leveraging Hierarchical Prototypes as the Verbalizer for Implicit Discourse Relation Recognition
Wanqiu Long, Bonnie Webber
Implicit discourse relation recognition involves determining relationships that hold between spans of text that are not linked by an explicit discourse connective. In recent years,…
Multi-Label Classification for Implicit Discourse Relation Recognition
Wanqiu Long, N. Siddharth, Bonnie Webber
Discourse relations play a pivotal role in establishing coherence within textual content, uniting sentences and clauses into a cohesive narrative. The Penn Discourse Treebank (PDTB…
Facilitating Contrastive Learning of Discourse Relational Senses by Exploiting the Hierarchy of Sense Relations
Wanqiu Long, Bonnie Webber
Implicit discourse relation recognition is a challenging task that involves identifying the sense or senses that hold between two adjacent spans of text, in the absence of an expli…
Shallow Discourse Annotation for Chinese TED Talks
Wanqiu Long, Xinyi Cai, James E. M. Reid +2
Text corpora annotated with language-related properties are an important resource for the development of Language Technology. The current work contributes a new resource for Chines…