Integrating a dialog component into a framework for spoken language understanding
Spoken language interfaces are the latest trend in human computer interaction. Users enjoy the newly found freedom but developers face an unfamiliar and daunting task. Creating reactive spoken language interfaces requires skills in natural language processing. We show how a developer can integrate a...
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| Published in: | 2018 IEEE ACM 6th International Workshop on Realizing Artificial Intelligence Synergies in Software Engineering (RAISE) pp. 1 - 7 |
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| Main Authors: | , , |
| Format: | Conference Proceeding |
| Language: | English |
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New York, NY, USA
ACM
28.05.2018
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| ISBN: | 1450357237, 9781450357234 |
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| Abstract | Spoken language interfaces are the latest trend in human computer interaction. Users enjoy the newly found freedom but developers face an unfamiliar and daunting task. Creating reactive spoken language interfaces requires skills in natural language processing. We show how a developer can integrate a dialog component in a natural language processing system by means of software engineering methods. Our research project PARSE that aims at naturalistic end-user programming in spoken natural language serves as an example. We integrate a dialog component with PARSE without affecting its other components: We modularize the dialog management and introduce dialog acts that bundle a trigger for the dialog and the reaction of the system. We implemented three dialog acts to address the following issues: speech recognition uncertainties, coreference ambiguities, and incomplete conditionals.
We conducted a user study with ten subjects to evaluate our approach. The dialog component achieved resolution rates from 23% to 50% (depending on the dialog act) and introduces a negligible number of errors. We expect the overall performance to increase even further with the implementation of additional dialog acts. |
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| AbstractList | Spoken language interfaces are the latest trend in human computer interaction. Users enjoy the newly found freedom but developers face an unfamiliar and daunting task. Creating reactive spoken language interfaces requires skills in natural language processing. We show how a developer can integrate a dialog component in a natural language processing system by means of software engineering methods. Our research project PARSE that aims at naturalistic end-user programming in spoken natural language serves as an example. We integrate a dialog component with PARSE without affecting its other components: We modularize the dialog management and introduce dialog acts that bundle a trigger for the dialog and the reaction of the system. We implemented three dialog acts to address the following issues: speech recognition uncertainties, coreference ambiguities, and incomplete conditionals. We conducted a user study with ten subjects to evaluate our approach. The dialog component achieved resolution rates from 23% to 50% (depending on the dialog act) and introduces a negligible number of errors. We expect the overall performance to increase even further with the implementation of additional dialog acts. Spoken language interfaces are the latest trend in human computer interaction. Users enjoy the newly found freedom but developers face an unfamiliar and daunting task. Creating reactive spoken language interfaces requires skills in natural language processing. We show how a developer can integrate a dialog component in a natural language processing system by means of software engineering methods. Our research project PARSE that aims at naturalistic end-user programming in spoken natural language serves as an example. We integrate a dialog component with PARSE without affecting its other components: We modularize the dialog management and introduce dialog acts that bundle a trigger for the dialog and the reaction of the system. We implemented three dialog acts to address the following issues: speech recognition uncertainties, coreference ambiguities, and incomplete conditionals. We conducted a user study with ten subjects to evaluate our approach. The dialog component achieved resolution rates from 23% to 50% (depending on the dialog act) and introduces a negligible number of errors. We expect the overall performance to increase even further with the implementation of additional dialog acts. |
| Author | Hey, Tobias Landhäußer, Mathias Weigelt, Sebastian |
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| Keywords | human-computer interaction naturalistic programming knowledge-based software engineering natural language processing for software engineering programming in natural language enduser programming dialog integration dialog systems |
| Language | English |
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| SubjectTerms | Computing methodologies -- Artificial intelligence -- Natural language processing Computing methodologies -- Artificial intelligence -- Natural language processing -- Discourse, dialogue and pragmatics Computing methodologies -- Artificial intelligence -- Natural language processing -- Lexical semantics dialog integration dialog systems end user programming Human-centered computing -- Human computer interaction (HCI) -- Interaction paradigms -- Natural language interfaces human-computer interaction knowledge-based software engineering Natural language processing natural language processing for software engineering naturalistic programming Programming programming in natural language Semantics Speech recognition Speech synthesis Task analysis |
| Title | Integrating a dialog component into a framework for spoken language understanding |
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