I am Pride Kavumba, holding a Ph.D. in Natural Language Processing from Tohoku University, Japan. My research interests include LLMs, evaluation, robustness, interpretability, and common sense reasoning.
PhD in NLP, 2023
Tohoku University
Master of Information Science (NLP), 2020
Tohoku University
BEng in Electrical Engineering and Electronics Engineering, 2013
The University of Zambia
We present Semi-Structured Explanations for COPA (COPA-SSE), a new crowdsourced dataset of 9,747 semi-structured, English common sense explanations for Choice of Plausible Alternatives (COPA) questions. The explanations are formatted as a set of triple-like common sense statements with ConceptNet relations but freely written concepts. This semi-structured format strikes a balance between the high quality but low coverage of structured data and the lower quality but high coverage of free-form crowdsourcing. Each explanation also includes a set of human-given quality ratings. With their familiar format, the explanations are geared towards commonsense reasoners operating on knowledge graphs and serve as a starting point for ongoing work on improving such systems. The dataset is available at https://github.com/a-brassard/copa-sse.