4 citations · 4 across the 5 of their papers we have counts for
6 papers
Human Label Variation in Implicit Discourse Relation Recognition
Frances Yung, Daniil Ignatev, Merel Scholman +2
There is growing recognition that many NLP tasks lack a single ground truth, as human judgments reflect diverse perspectives. To capture this variation, models have been developed…
Synthetic Data Augmentation for Cross-domain Implicit Discourse Relation Recognition
Frances Yung, Varsha Suresh, Zaynab Reza +2
Implicit discourse relation recognition (IDRR) -- the task of identifying the implicit coherence relation between two text spans -- requires deep semantic understanding. Recent stu…
On Crowdsourcing Task Design for Discourse Relation Annotation
Frances Yung, Vera Demberg
Interpreting implicit discourse relations involves complex reasoning, requiring the integration of semantic cues with background knowledge, as overt connectives like because or the…
Prompting Implicit Discourse Relation Annotation
Frances Yung, Mansoor Ahmad, Merel Scholman +1
Pre-trained large language models, such as ChatGPT, archive outstanding performance in various reasoning tasks without supervised training and were found to have outperformed crowd…
Design Choices for Crowdsourcing Implicit Discourse Relations: Revealing the Biases Introduced by Task Design
Valentina Pyatkin, Frances Yung, Merel C. J. Scholman +3
Disagreement in natural language annotation has mostly been studied from a perspective of biases introduced by the annotators and the annotation frameworks. Here, we propose to ana…
Acquiring Annotated Data with Cross-lingual Explicitation for Implicit Discourse Relation Classification
Wei Shi, Frances Yung, Vera Demberg
Implicit discourse relation classification is one of the most challenging and important tasks in discourse parsing, due to the lack of connective as strong linguistic cues. A princ…