We assess the reliability and accuracy of (neural) word embeddings for both modern and historical English and German. Our research provides deeper insights into the empirically justified choice of optimal training methods and parameters. The overall low reliability we observe, nevertheless, casts doubt on the suitability of word neighborhoods in embedding spaces as a basis for qualitative conclusions on synchronic and diachronic lexico-semantic matters, an issue currently high up in the agenda of Digital Humanities.
REF also used diachronic corpora to assess the reliability of word embeddings neighborhoods.
Bad Company - Neighborhoods in Neural Embedding Spaces Considered Harmful
COLING
Computer Science