Clustering Word Embeddings with Self-Organizing Maps. Application on LaRoSeDa

Clustering Word Embeddings with Self-Organizing Maps. Application on LaRoSeDa - A Large Romanian Sentiment Data Set Anca Maria Tache author Mihaela Găman author Radu Tudor Ionescu author 2021-04 text Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume Paola Merlo editor Jorg Tiedemann editor Reut Tsarfaty editor Association for Computational Linguistics Online conference publication tache-etal-2021-clustering 10.18653/v1/2021.eacl-main.81 https://aclanthology.org/2021.eacl-main.81/ 2021-04 949 956