[Colloquium] Reminder: Bowen Wang/MS Presentation - July 12, 2018:

[Karin Czaplewski via Colloquium]

This is an announcement of Bowen Wang’s MS Presentation.


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Department of Computer Science
The University of Chicago

Date: Thursday, July 12, 2018

Time: 10:00am

Location: Ryerson 255

Bx/MS Candidate: Bowen Wang

MS Advisor:  Ravi Chugh

MS Paper Title:  Predicting Haskell Type Signatures From Names

Abstract: 

Neural Program Synthesis has been a fast-growing field with many exciting advances such as translating natural language into code. However, those applications often suffer from the lack of high-quality data, as it is fairly difficult to obtain code annotated with natural language that transcribes its functionality precisely. Therefore, we want to understand what information we can extract from source code to facilitate program synthesis without explicit supervision. To ground our task more concretely, we study the problem of predicting type signatures given identifier names. We focus on Haskell, a strongly typed functional language, and collect data from Haskell repositories on GitHub. We use two different approaches: unstructured pre- diction, which is based on the sequence-to-sequence model, and structured prediction, which models the tree structure of the type signatures directly. Surprisingly, even though the struc- tured prediction model is better at predicting the structures of the type signatures (61.66% structural accuracy), the unstructured prediction model achieves much better signature accuracy (23.71%). 

A draft copy of Bowen’s MS paper will be available soon.

Karin Czaplewski
Student & Faculty Services Specialist
Masters Program in Computer Science
The University of Chicago
5555 S. Ellis Avenue - Room 305
(773) 834-8587
Email: karin at cs.uchicago.edu <mailto:karin at cs.uchicago.edu>
http://csmasters.uchicago.edu <http://csmasters.uchicago.edu/>
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