Program synthesis dataset containing text editing tasks and language annotations (synthetic and human annotated) for the Leveraging Natural Language for Program Search and Abstraction Learning (currently under review at NeurIPS 2020). Will be deanonymized upon review
Shared Task Evaluation Challenges (stecs) have only recently begun in the field of nlg. The tuna ste...
Natural language search from a database makes it possible for non technical users to fetch informati...
This is a formula sheet for "Coursera Natural Language Processing Specialization". Natural Language ...
Inductive program synthesis, or inferring programs from examples of desired behavior, offers a gener...
Abstract. Significant portions of software life cycle resources are de-voted to program maintenance,...
Thesis (Ph.D.)--University of Washington, 2019Models that automatically map natural language (NL) to...
Natural Language Processing NLP, or Natural Language Processing, is an area of artificial intelligen...
Program synthesis, or automatically writing programs from high-level specifications has been a long-...
© 2019 Neural information processing systems foundation. All rights reserved. We present a neural pr...
The Abstraction and Reasoning Challenge (ARC) is a set of tasks where one must induce a program from...
Natural Language Processing (NLP) is a field of artificial intelligence and computer science that de...
Translating natural language descriptions into executable programs is a fundamental problem for comp...
We motivate the integration of programming by example and natural language programming by developing...
We introduce APEL, a new framework that enables non-programmers to indirectly annotate natural langu...
Building systems that can synthesize programs from natural specifications (such as examples or langu...
Shared Task Evaluation Challenges (stecs) have only recently begun in the field of nlg. The tuna ste...
Natural language search from a database makes it possible for non technical users to fetch informati...
This is a formula sheet for "Coursera Natural Language Processing Specialization". Natural Language ...
Inductive program synthesis, or inferring programs from examples of desired behavior, offers a gener...
Abstract. Significant portions of software life cycle resources are de-voted to program maintenance,...
Thesis (Ph.D.)--University of Washington, 2019Models that automatically map natural language (NL) to...
Natural Language Processing NLP, or Natural Language Processing, is an area of artificial intelligen...
Program synthesis, or automatically writing programs from high-level specifications has been a long-...
© 2019 Neural information processing systems foundation. All rights reserved. We present a neural pr...
The Abstraction and Reasoning Challenge (ARC) is a set of tasks where one must induce a program from...
Natural Language Processing (NLP) is a field of artificial intelligence and computer science that de...
Translating natural language descriptions into executable programs is a fundamental problem for comp...
We motivate the integration of programming by example and natural language programming by developing...
We introduce APEL, a new framework that enables non-programmers to indirectly annotate natural langu...
Building systems that can synthesize programs from natural specifications (such as examples or langu...
Shared Task Evaluation Challenges (stecs) have only recently begun in the field of nlg. The tuna ste...
Natural language search from a database makes it possible for non technical users to fetch informati...
This is a formula sheet for "Coursera Natural Language Processing Specialization". Natural Language ...
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