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• W6904866 abstract "Introduction Natural language processing (NLP) research is carried out in areas such as speech recognition, natural language understanding (NLU), natural language generation (NLG), speech synthesis, information retrieval, information extraction, and inference (Jurafsky & Martin 2000). NLP components are being incorporated into a variety of systems, and NLP methods are being used in new application areas. There is increasing interest in dialogue systems and language generation systems (e.g. the ELVIS system for voice access to email and voicemail (Walker 2000), the embodied conversational agent REA (Cassell, Stone, & Yan 2000; Cassell 2000), as well as (Litman & Pan 1999; McKeown et al. 1997)), text analysis systems (Klavans & Wacholder 1997), summarization systems (McKeown & Klavans 1997), information extraction systems (Declerk, Klein, & Neumann 1998), and text-to-speech systems (Sproat 1997). In practice these activities require building systems that model human activities in various language processing tasks. Therefore, we can view language processing systems as intelligent systems. These uses, furthermore, increase the need for thorough testing of NLP systems and individual NLP components that are embedded in larger systems. Language processing researchers have not generally carried out the sorts of verification and validation activities that are typically attempted in the intelligent systems research area. The research presented here is part of a larger project that is considering how verification and validation can be carried out for language processing systems in different application areas. In specific, research is needed to achieve the following: • develop a clear definition of what is encompassed by the verification task for language processing software, building on foundations in both the intelligent systems and software engineering/software testing areas. • develop techniques and tools for carrying out verification of language processing software, as appropriate for various application areas within language processing (such as generation, understanding, dialogue). • develop a theory of how to apply the results of verification of language processing software to the task of validating" @default.
• W6904866 created "2016-06-24" @default.
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• W6904866 date "2003-01-01" @default.
• W6904866 modified "2023-09-26" @default.
• W6904866 title "A Proposed Model for Effective Verification of Natural Language Generation Systems." @default.
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