Word embeddings are increasingly attracting the attention of researchers dealing with
semantic similarity and analogy tasks. However, finding the optimal hyper-parameters
remains an important challenge due to the resulting impact on the revealed analogies
mainly for domain-specific corpora. While analogies are highly used for hypotheses
synthesis, it is crucial to optimise word embedding hyper-parameters for precise hypothesis
synthesis. Therefore, we propose, in this paper, a methodological approach for tuning word …

Word embeddings are increasingly attracting the attention of researchers dealing with
semantic similarity and analogy tasks. However, finding the optimal hyper-parameters
remains an important challenge due to the resulting impact on the revealed analogies
mainly for domainspecific corpora. While analogies are highly used for hypotheses
synthesis, it is crucial to optimise word embedding hyper-parameters for precise hypothesis
synthesis. Therefore, we propose, in this paper, a methodological approach for tuning word …