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

no code implementations • CONLL 2018 • {\'A}bel Elekes, Adrian Englhardt, Martin Sch{\"a}ler, Klemens B{\"o}hm

Furthermore, the resource contains the n-gramed versions of all used corpora, as well as our scripts used for corpus generation, model generation and evaluation.

Semantic Textual Similarity Sentiment Analysis +1