Difference between revisions of "NL+SE 2016"
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|Country=USA | |Country=USA | ||
|Submission deadline=2016/08/08 | |Submission deadline=2016/08/08 | ||
+ | |Has coordinator=Prem Devanbu, Tien N. Nguyen, Baishakhi Ray, Earl Barr, Christian Bird, | ||
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+ | Natural Language Processing (NLP) techniques and tools have become very powerful and are applicable in many domains. In the context of Software Engineering (SE), there are many promising opportunities for the application of NLP to be used to improve SE theory and practice. Recently, investigations have begun to unravel the extent to which large code corpora that can be retrieved from GitHub, StackOverflow, etc., are amenable to analysis using statistical NLP models and algorithms, so that the revolutionary advances in speech recognitions, translation, comprehension, etc. can be applied in SE. | ||
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+ | This workshop will bring together an international group of researchers in Statistical NLP, Programming Languages, Software Engineering and related fields for an intensive period of discussion and presentation of results in the area. We invite a range of researchers with both NLP and SE backgrounds to come together, discuss their research, establish datasets, tasks, and baselines, and generally help the field build momentum. |
Revision as of 14:53, 10 November 2016
NL+SE 2016 | |
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NL+SE 2016 : Natural language processing and software engineering
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Dates | 2016/11/13 (iCal) - 2016/11/13 |
Homepage: | nlse-fse.github.io/ |
Location | |
Location: | Seattle, USA |
Loading map... | |
Important dates | |
Submissions: | 2016/08/08 |
Committees | |
Organizers: | Prem Devanbu, Tien N. Nguyen, Baishakhi Ray, Earl Barr, Christian Bird |
Table of Contents | |
Natural Language Processing (NLP) techniques and tools have become very powerful and are applicable in many domains. In the context of Software Engineering (SE), there are many promising opportunities for the application of NLP to be used to improve SE theory and practice. Recently, investigations have begun to unravel the extent to which large code corpora that can be retrieved from GitHub, StackOverflow, etc., are amenable to analysis using statistical NLP models and algorithms, so that the revolutionary advances in speech recognitions, translation, comprehension, etc. can be applied in SE.
This workshop will bring together an international group of researchers in Statistical NLP, Programming Languages, Software Engineering and related fields for an intensive period of discussion and presentation of results in the area. We invite a range of researchers with both NLP and SE backgrounds to come together, discuss their research, establish datasets, tasks, and baselines, and generally help the field build momentum.
Acronym | NL+SE 2016 + |
End date | November 13, 2016 + |
Event type | Conference + |
Has coordinates | 47° 36' 14", -122° 19' 48"Latitude: 47.603833333333 Longitude: -122.33006111111 + |
Has coordinator | Prem Devanbu +, Tien N. Nguyen +, Baishakhi Ray +, Earl Barr + and Christian Bird + |
Has location city | Seattle + |
Has location country | Category:USA + |
Homepage | http://nlse-fse.github.io/ + |
IsA | Event + |
Start date | November 13, 2016 + |
Submission deadline | August 8, 2016 + |
Title | NL+SE 2016 : Natural language processing and software engineering + |