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Ximena Contla

2 accepted papers

2023

Leveraging Domain Knowledge for Inclusive and Bias-aware Humanitarian Response Entry Classification

IJCAI 2023poster

Accurate and rapid situation analysis during humanitarian crises is critical to delivering humanitarian aid efficiently and is fundamental to humanitarian imperatives and the Leave No One Behind (LNOB) principle. This data analysis can highly benefit from language processing systems, e.g., by classi…

2022

HumSet: Dataset of Multilingual Information Extraction and Classification for Humanitarian Crises Response

EMNLP 2022finding

Timely and effective response to humanitarian crises requires quick and accurate analysis of large amounts of text data – a process that can highly benefit from expert-assisted NLP systems trained on validated and annotated data in the humanitarian response domain. To enable creation of such NLP sys…