par Nachtegael, Charlotte 
;De Stefani, Jacopo ;Lenaerts, Tom
Référence European Chapter of the Association for Computational Linguistics: System Demonstrations (17: Dubrovnik)
Publication Publié, 2023-05-02
;De Stefani, Jacopo ;Lenaerts, Tom Référence European Chapter of the Association for Computational Linguistics: System Demonstrations (17: Dubrovnik)
Publication Publié, 2023-05-02
Poster de conférence
| Résumé : | We present ALAMBIC, an open-source dockerized web-based platform for annotating text data through active learning for classification tasks. Active learning is known to reduce the need of labelling, a time-consuming task, by selecting the most informative instances among the unlabelled instances, reaching an optimal accuracy faster than by just randomly labelling data. ALAMBIC integrates all the steps from data import to customization of the (active) learning process and annotation of the data, with indications of the progress of the trained model that can be downloaded and used in downstream tasks. Its architecture also allows the easy integration of other types of models, features and active learning strategies. |
