PiE: Programming in Eliza

Xiao Liu; Dinghao Wu

doi:10.1145/2642937.2642967

PiE: Programming in Eliza

Xiao Liu, Dinghao Wu

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Scopus citations

Abstract

Eliza, a primitive example of natural language processing, adopts a rule-based method to conduct simple conversations with people. In this paper, we extend Eliza for a novel application. We propose a system to assist with program synthesis called Programming in Eliza (PiE). According to a set of rules, PiE can automatically synthesize programs from natural language conversations between Eliza and users. PiE is useful for programming in domain-specific languages. We have implemented PiE to synthesize programs in the LOGO programming language, and our experimental results show that, on average, the success ratio is 88.4% for synthesizing LOGO programs from simple conversations with Eliza. PiE also enables end-users with no experience to program in LOGO with a smoother learning curve.

Original language	English (US)
Title of host publication	ASE 2014 - Proceedings of the 29th ACM/IEEE International Conference on Automated Software Engineering
Publisher	Association for Computing Machinery, Inc
Pages	695-700
Number of pages	6
ISBN (Electronic)	9781450330138
DOIs	https://doi.org/10.1145/2642937.2642967
State	Published - 2014
Event	29th ACM/IEEE International Conference on Automated Software Engineering, ASE 2014 - Vasteras, Sweden Duration: Sep 15 2014 → Sep 19 2014

Publication series

Name	ASE 2014 - Proceedings of the 29th ACM/IEEE International Conference on Automated Software Engineering

Other

Other	29th ACM/IEEE International Conference on Automated Software Engineering, ASE 2014
Country/Territory	Sweden
City	Vasteras
Period	9/15/14 → 9/19/14

All Science Journal Classification (ASJC) codes

Software

Access to Document

10.1145/2642937.2642967

Cite this

@inproceedings{e0e016efa75d4b1dbf0cd296e67dfd1e,

title = "PiE: Programming in Eliza",

abstract = "Eliza, a primitive example of natural language processing, adopts a rule-based method to conduct simple conversations with people. In this paper, we extend Eliza for a novel application. We propose a system to assist with program synthesis called Programming in Eliza (PiE). According to a set of rules, PiE can automatically synthesize programs from natural language conversations between Eliza and users. PiE is useful for programming in domain-specific languages. We have implemented PiE to synthesize programs in the LOGO programming language, and our experimental results show that, on average, the success ratio is 88.4% for synthesizing LOGO programs from simple conversations with Eliza. PiE also enables end-users with no experience to program in LOGO with a smoother learning curve.",

author = "Xiao Liu and Dinghao Wu",

note = "Publisher Copyright: {\textcopyright} 2014 ACM.; 29th ACM/IEEE International Conference on Automated Software Engineering, ASE 2014 ; Conference date: 15-09-2014 Through 19-09-2014",

year = "2014",

doi = "10.1145/2642937.2642967",

language = "English (US)",

series = "ASE 2014 - Proceedings of the 29th ACM/IEEE International Conference on Automated Software Engineering",

publisher = "Association for Computing Machinery, Inc",

pages = "695--700",

booktitle = "ASE 2014 - Proceedings of the 29th ACM/IEEE International Conference on Automated Software Engineering",

}

Liu, X & Wu, D 2014, PiE: Programming in Eliza. in ASE 2014 - Proceedings of the 29th ACM/IEEE International Conference on Automated Software Engineering. ASE 2014 - Proceedings of the 29th ACM/IEEE International Conference on Automated Software Engineering, Association for Computing Machinery, Inc, pp. 695-700, 29th ACM/IEEE International Conference on Automated Software Engineering, ASE 2014, Vasteras, Sweden, 9/15/14. https://doi.org/10.1145/2642937.2642967

PiE: Programming in Eliza. / Liu, Xiao; Wu, Dinghao.
ASE 2014 - Proceedings of the 29th ACM/IEEE International Conference on Automated Software Engineering. Association for Computing Machinery, Inc, 2014. p. 695-700 (ASE 2014 - Proceedings of the 29th ACM/IEEE International Conference on Automated Software Engineering).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - PiE

T2 - 29th ACM/IEEE International Conference on Automated Software Engineering, ASE 2014

AU - Liu, Xiao

AU - Wu, Dinghao

PY - 2014

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N2 - Eliza, a primitive example of natural language processing, adopts a rule-based method to conduct simple conversations with people. In this paper, we extend Eliza for a novel application. We propose a system to assist with program synthesis called Programming in Eliza (PiE). According to a set of rules, PiE can automatically synthesize programs from natural language conversations between Eliza and users. PiE is useful for programming in domain-specific languages. We have implemented PiE to synthesize programs in the LOGO programming language, and our experimental results show that, on average, the success ratio is 88.4% for synthesizing LOGO programs from simple conversations with Eliza. PiE also enables end-users with no experience to program in LOGO with a smoother learning curve.

AB - Eliza, a primitive example of natural language processing, adopts a rule-based method to conduct simple conversations with people. In this paper, we extend Eliza for a novel application. We propose a system to assist with program synthesis called Programming in Eliza (PiE). According to a set of rules, PiE can automatically synthesize programs from natural language conversations between Eliza and users. PiE is useful for programming in domain-specific languages. We have implemented PiE to synthesize programs in the LOGO programming language, and our experimental results show that, on average, the success ratio is 88.4% for synthesizing LOGO programs from simple conversations with Eliza. PiE also enables end-users with no experience to program in LOGO with a smoother learning curve.

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M3 - Conference contribution

AN - SCOPUS:84908647751

T3 - ASE 2014 - Proceedings of the 29th ACM/IEEE International Conference on Automated Software Engineering

SP - 695

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BT - ASE 2014 - Proceedings of the 29th ACM/IEEE International Conference on Automated Software Engineering

PB - Association for Computing Machinery, Inc

Y2 - 15 September 2014 through 19 September 2014

ER -

PiE: Programming in Eliza

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All Science Journal Classification (ASJC) codes

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