Resources to Examine the Quality of Word Embedding Models Trained on n-Gram Data

Resources to Examine the Quality of Word Embedding Models Trained on n-Gram Data Ábel Elekes author Adrian Englhardt author Martin Schäler author Klemens Böhm author 2018-10 text Proceedings of the 22nd Conference on Computational Natural Language Learning Anna Korhonen editor Ivan Titov editor Association for Computational Linguistics Brussels, Belgium conference publication elekes-etal-2018-resources 10.18653/v1/K18-1041 https://aclanthology.org/K18-1041/ 2018-10 423 432