6 citations · 6 across the 5 of their papers we have counts for
7 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…
Retrieving Semantics from the Deep: an RAG Solution for Gesture Synthesis
M. Hamza Mughal, Rishabh Dabral, Merel C. J. Scholman +2
Non-verbal communication often comprises of semantically rich gestures that help convey the meaning of an utterance. Producing such semantic co-speech gestures has been a major cha…
Modeling Orthographic Variation Improves NLP Performance for Nigerian Pidgin
Pin-Jie Lin, Merel Scholman, Muhammed Saeed +1
Nigerian Pidgin is an English-derived contact language and is traditionally an oral language, spoken by approximately 100 million people. No orthographic standard has yet been adop…
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…
Low-Resource Cross-Lingual Adaptive Training for Nigerian Pidgin
Pin-Jie Lin, Muhammed Saeed, Ernie Chang +1
Developing effective spoken language processing systems for low-resource languages poses several challenges due to the lack of parallel data and limited resources for fine-tuning m…
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…
How compatible are our discourse annotations? Insights from mapping RST-DT and PDTB annotations
Vera Demberg, Fatemeh Torabi Asr, Merel Scholman
Discourse-annotated corpora are an important resource for the community, but they are often annotated according to different frameworks. This makes comparison of the annotations di…