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个人简介
Belen has worked in various research projects where she has contributed to multiple domains such as variational inference applications, human-computer interaction, online RCTs, and natural language processing. Before joining MIT, Belen worked at Harvard University as a research assistant with a focus on finding more efficient ways to create training sets, where she proposed a probabilistic graphical model to this end. Currently, she aims to understand and explore what children-aware NLP would entail.
研究兴趣
论文共 7 篇作者统计合作学者相似作者
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International Conference on Intelligent User Interfacespp.922-939, (2024)
PROCEEDINGS OF THE 2ND WORKSHOP ON HUMAN EVALUATION OF NLP SYSTEMS (HUMEVAL 2022) (2022): 76-89
arXiv (Cornell University) (2019): 756-764
2019 8th International Conference on Affective Computing and Intelligent Interaction (ACII) (2019): 1-7
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