Publication | Closed Access
Combining Word2Vec with Revised Vector Space Model for Better Code Retrieval
33
Citations
14
References
2017
Year
Unknown Venue
EngineeringSemantic SearchIntelligent Information RetrievalSoftware EngineeringSemantic WebCorpus LinguisticsText MiningWord EmbeddingsNatural Language ProcessingInformation RetrievalData ScienceComputational LinguisticsBetter Code RetrievalData RetrievalLanguage StudiesApi CodesearchComputer ScienceKeyword SearchCode RepresentationDistributional SemanticsTraditional IrRetrieval Augmented GenerationVector Space ModelLinguistics
API example code search is an important applicationin software engineering. Traditional approaches to API codesearch are based on information retrieval. Recent advance inWord2Vec has been applied to support the retrieval of APIexamples. In this work, we perform a preliminary study thatcombining traditional IR with Word2Vec achieves better retrievalaccuracy. More experiments need to be done to study differenttypes of combination among two lines of approaches.
| Year | Citations | |
|---|---|---|
Page 1
Page 1