Search Results for author: Nicolò Tamagnone

Found 3 papers, 3 papers with code

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

1 code implementation26 May 2023 Nicolò Tamagnone, Selim Fekih, Ximena Contla, Nayid Orozco, Navid Rekabsaz

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.

counterfactual Data Augmentation +3

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

1 code implementation10 Oct 2022 Selim Fekih, Nicolò Tamagnone, Benjamin Minixhofer, Ranjan Shrestha, Ximena Contla, Ewan Oglethorpe, Navid Rekabsaz

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.

Humanitarian Multilabel Text Classification +2

Top-Rank-Focused Adaptive Vote Collection for the Evaluation of Domain-Specific Semantic Models

1 code implementation EMNLP 2020 Pierangelo Lombardo, Alessio Boiardi, Luca Colombo, Angelo Schiavone, Nicolò Tamagnone

The growth of domain-specific applications of semantic models, boosted by the recent achievements of unsupervised embedding learning algorithms, demands domain-specific evaluation datasets.

Cannot find the paper you are looking for? You can Submit a new open access paper.