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个人简介
My research focusses on understanding how humans learn about and represent complex and evolving information in the context of large-scale and noisy environments; and on using these insights to develop fairer and more robust automatic systems. I combine methods from natural language processing, machine learning and computational cognitive modelling. Representative projects include scalable models of category and feature learning in children from noisy language data; and modeling the historical change of word meaning over centuries. My current research focusses on improving automatic understanding of narratives, both in fiction (e.g., inducing structured representations of novels; or movie summarization) and in reality, by analyzing framing and narrative strategies in (biased) news stories.
研究兴趣
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Energy Research & Social Sciencepp.102670, (2024)
Open mind : discoveries in cognitive science (2024): 102-130
IEEE ACCESS (2023): 144126-144149
EMNLP 2023 (2023): 4604-4614
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Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 2: Short Papers) (2023)
*SEM@ACLpp.193-206, (2023)
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