9 citations · 10 across the 6 of their papers we have counts for
6 papers
On the Role of Context for Discourse Relation Classification in Scientific Writing
Stephen Wan, Wei Liu, Michael Strube
With the increasing use of generative Artificial Intelligence (AI) methods to support science workflows, we are interested in the use of discourse-level information to find support…
Joint Modeling of Entities and Discourse Relations for Coherence Assessment
Wei Liu, Michael Strube
In linguistics, coherence can be achieved by different means, such as by maintaining reference to the same set of entities across sentences and by establishing discourse relations…
What Causes the Failure of Explicit to Implicit Discourse Relation Recognition?
Wei Liu, Stephen Wan, Michael Strube
We consider an unanswered question in the discourse processing community: why do relation classifiers trained on explicit examples (with connectives removed) perform poorly in real…
Annotation-Inspired Implicit Discourse Relation Classification with Auxiliary Discourse Connective Generation
Wei Liu, Michael Strube
Implicit discourse relation classification is a challenging task due to the absence of discourse connectives. To overcome this issue, we design an end-to-end neural model to explic…
Modeling Structural Similarities between Documents for Coherence Assessment with Graph Convolutional Networks
Wei Liu, Xiyan Fu, Michael Strube
Coherence is an important aspect of text quality, and various approaches have been applied to coherence modeling. However, existing methods solely focus on a single document's cohe…
Lexicon Enhanced Chinese Sequence Labeling Using BERT Adapter
Wei Liu, Xiyan Fu, Yue Zhang +1
Lexicon information and pre-trained models, such as BERT, have been combined to explore Chinese sequence labelling tasks due to their respective strengths. However, existing method…