Relevance Transformer: Generating Concise Code Snippets with Relevance Feedback.

Carlos Gemmell|Federico Rossetto|Jeffrey Dalton


Anthology ID:DBLP:conf/sigir/GemmellR020
Volume:Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, SIGIR 2020, Virtual Event, China, July 25-30, 2020
Year:2020
Venue:Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
Publisher:ACM
Pages:2005-2008
URL:https://doi.org/10.1145/3397271.3401215
DOI:https://doi.org/10.1145/3397271.3401215
DBLP:conf/sigir/GemmellR020
BibTeX:
@inproceedings{gemmell-2020-relevance, author = {Carlos Gemmell and Federico Rossetto and Jeffrey Dalton}, editor = {Jimmy Huang and Yi Chang and Xueqi Cheng and Jaap Kamps and Vanessa Murdock and Ji-Rong Wen and Yiqun Liu}, title = {{Relevance Transformer: Generating Concise Code Snippets with Relevance Feedback}}, booktitle = {{Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, SIGIR 2020, Virtual Event, China, July 25-30, 2020}}, pages = {2005--2008}, publisher = {ACM}, year = {2020}, url = {https://doi.org/10.1145/3397271.3401215}, doi = {https://doi.org/10.1145/3397271.3401215} }