A systematic review of 181 papers shows word embeddings are most used for software maintenance and development, with Word2Vec and BERT as the dominant models and weak evidence for their advantage over simpler baselines.
Learning continuous word embedding with metadata for question retrieval in community question answering
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A Comprehensive Study on the Use of Word Embedding Models in Software Engineering Domain
A systematic review of 181 papers shows word embeddings are most used for software maintenance and development, with Word2Vec and BERT as the dominant models and weak evidence for their advantage over simpler baselines.