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检索条件"主题词=programming in natural language"
8 条 记 录,以下是1-10 订阅
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Towards programming in natural language: Learning New Functions from Spoken Utterances
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INTERNATIONAL JOURNAL OF SEMANTIC COMPUTING 2020年 第2期14卷 249-272页
作者: Weigelt, Sebastian Steurer, Vanessa Hey, Tobias Tichy, Walter F. Karlsruhe Inst Technol Inst Program Struct & Data Org Karlsruhe Germany
Systems with conversational interfaces are rather popular nowadays. However, their full potential is not yet exploited. For the time being, users are restricted to calling predefined functions. Soon, users will expect... 详细信息
来源: 评论
NLCI: a natural language command interpreter
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AUTOMATED SOFTWARE ENGINEERING 2017年 第4期24卷 839-861页
作者: Landhaeusser, Mathias Weigelt, Sebastian Tichy, Walter F. Karlsruhe Inst Technol Inst Program Struct & Data Org Karlsruhe Germany
natural language interfaces are becoming more and more common, because they are powerful and easy to use. Examples of such interfaces are voice controlled navigation devices, Apple's personal assistant Siri, Googl... 详细信息
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Dialog-based Meaning Derivation Service For Technical language Domains  13
Dialog-based Meaning Derivation Service For Technical Langua...
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13th IEEE International Conference on Semantic Computing (ICSC)
作者: Wachtel, Alexander Schulz, Sophie Tichy, Walter F. Karlsruhe Inst Technol Chair Programming Syst Prof Walter Tichy Karlsruhe Germany
In our previous work, we present on how new algorithms can be recognized and learned from human descriptions. In this case, end users are able to extend the given system by their own functionality. During the evaluati... 详细信息
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Integrating a Dialog Component into a Framework for Spoken language Understanding  6
Integrating a Dialog Component into a Framework for Spoken L...
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6th IEEE/ACM International Workshop on Realizing Artificial Intelligence Synergies in Software Engineering (RAISE)
作者: Weigelt, Sebastian Hey, Tobias Landhaeusser, Mathias Karlsruhe Inst Technol Karlsruhe Germany ThingsTHINKING GmbH Karlsruhe Germany
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 requ... 详细信息
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Detection of Conditionals in Spoken Utterances  12
Detection of Conditionals in Spoken Utterances
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12th IEEE International Conference on Semantic Computing (ICSC)
作者: Weigelt, Sebastian Hey, Tobias Steurer, Vanessa Karlsruhe Inst Technol Inst Program Struct & Data Org Karlsruhe Germany
State-of-the-art intelligent assistant systems such as Siri & Co. struggle with conditionals. They reliably react to ordinary commands. However, their architectures are not designed to cope with complex conditiona... 详细信息
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Roger that! Learning How Laypersons Teach New Functions to Intelligent Systems.  14
Roger that! Learning How Laypersons Teach New Functions to I...
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14th IEEE International Conference on Semantic Computing (ICSC)
作者: Weigelt, Sebastian Steurer, Vanessa Hey, Tobias Tichy, Walter F. Karlsruhe Inst Technol Inst Program Struct & Data Org D-76021 Karlsruhe Germany
Intelligent systems are rather smart today but still limited to built-in functionality. To break through this barrier, future systems must allow users to easily adapt the system by themselves. For humans the most natu... 详细信息
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NLCI – A natural language Command Interpreter
NLCI – A Natural Language Command Interpreter
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Software Engineering 2017
作者: Landhäußer, Mathias Weigelt, Sebastian Tichy, Walter F. Karlsruhe Institute of Technology Institute for Program Structures and Data Organization Am Fasanengarten 5 Karlsruhe76131 Germany
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Context Model Acquisition from Spoken Utterances
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INTERNATIONAL JOURNAL OF SOFTWARE ENGINEERING AND KNOWLEDGE ENGINEERING 2017年 第9-10期27卷 1439-1453页
作者: Weigelt, Sebastian Hey, Tobias Tichy, Walter F. Karlsruhe Inst Technol Inst Program Struct & Data Org D-76131 Karlsruhe Germany
Current systems with spoken language interfaces do not leverage contextual information. Therefore, they struggle with understanding speakers' intentions. We propose a system that creates a context model from user ... 详细信息
来源: 评论