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picture1_Real World Haskell Pdf 190471 | Context Sensitive Prediction Of Haskell Type Signatures From Names


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File: Real World Haskell Pdf 190471 | Context Sensitive Prediction Of Haskell Type Signatures From Names
Submitted as part of TTIC 31210 Advanced Natural Language Processing, Spring 2017 CONTEXT-SENSITIVEPREDICTIONOFHASKELLTYPE SIGNATURESFROMNAMES Brian Hempel Department of Computer Science Corrections and explorations after University of Chicago submission displayed in ...

icon picture PDF Filetype PDF | Posted on 03 Feb 2023 | 2 years ago

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...Submitted as part of ttic advanced natural language processing spring context sensitivepredictionofhaskelltype signaturesfromnames brian hempel department computer science corrections and explorations after university chicago submission displayed in blue il brianhempel uchicago edu abstract identiers programs contain semantic information that might be leveraged to build tools help programmers write code this work explores using rnn models predict haskell type signatures given the name entity being typed a large corpus real world is gathered from online sources for training evaluation les same signature often immediately repeated new attempt take advantage repetition varying attention mechanism was developed evaluated explored show some facility at predicting structure but not entire provided little gain introduction step aim project towards larger vision generate specication which can transformed into function by program synthesizer specications nl specs ml synth are particular light w...
								

							

						
	
												
				
					
					
					
			
					
				
				
		
	

	
		





	

	
				

						

						
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										Category:  Uncategorized / Uncategorized 
										
Posted on: 03 Feb 2023 | 2 years ago
										
										
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																								context,
																								sensitive,
																								prediction,
																								haskell,
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																								signatures,
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																								names,
											                                        
																				
Filetype: PDF
										
File size: 0.40 MB
										
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												Wan learn