From word embeddings to document similarities for improved information retrieval in software engineering-Reference-Cited by-同舟云学术

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From word embeddings to document similarities for improved information retrieval in software engineering

Published:2016-05-14 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 38th International Conference on Software Engineering
language:
Short-container-title:

Author:

Ye Xin¹,Shen Hui¹,Ma Xiao¹,Bunescu Razvan¹,Liu Chang¹

Affiliation:

1. Ohio University Athens, Ohio

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/2884781.2884862

Reference46 articles.

1. Linking e-mails and source code artifacts

2. Leveraging usage similarity for effective retrieval of examples in code repositories

3. Don't count, predict! A systematic comparison of context-counting vs. context-predicting semantic vectors

4. SNIFF: A Search Engine for Java Using Free-Form Queries

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