Language Modeling by Clustering with Word Embeddingsfor Text Readability Assessment
Table 1. Baseline regression results
['[BOLD] System', '[BOLD] Spearman', '[BOLD] Pearson']
Results and discussion. Bag-of-words performs poorly, and word2vec performs better than doc2vec. We suspect that the benefit of doc2vec is not realized on this corpus due to its limited length. We find fastText superior over word2vec and doc2vec. Pretrained wiki outperforms ap-news. We only report wiki results.