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Participatory Design in Digital Language Documentation: A Web Platform Approach
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Quality Assurance of Generative Dialog Models in an Evolving Conversational Agent Used for Swedish Language Practice ...
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SPT-Code: Sequence-to-Sequence Pre-Training for Learning Source Code Representations ...
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Software interactivo como herramienta de aprendizaje para niños con discapacidad auditiva en la U.E. "Especial Maturín", estado Monagas ...
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Software interactivo como herramienta de aprendizaje para niños con discapacidad auditiva en la U.E. "Especial Maturín", estado Monagas ...
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Eine agentenbasierte Architektur für Programmierung mit gesprochener Sprache ...
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Grenzüberschreitendes Textmining von Historischen Zeitungen - Das impresso-Projekt zwischen Text- und Bildverarbeitung, Design und Geschichtswissenschaft ...
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Grenzüberschreitendes Textmining von Historischen Zeitungen - Das impresso-Projekt zwischen Text- und Bildverarbeitung, Design und Geschichtswissenschaft ...
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PACSafe: Leveraging ARM Pointer Authentication for Memory Safety in C/C++ ...
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Quickstrom: Property Based Acceptance Testing with LTL Specifications ...
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POLYCRUISE: A Cross-Language Dynamic Information Flow Analysis ...
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POLYCRUISE: A Cross-Language Dynamic Information Flow Analysis ...
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MSCCD: Grammar Pluggable Clone Detection Based on ANTLR Parser Generation ...
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Classification of Natural Language Processing Techniques for Requirements Engineering ...
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Abstract:
Research in applying natural language processing (NLP) techniques to requirements engineering (RE) tasks spans more than 40 years, from initial efforts carried out in the 1980s to more recent attempts with machine learning (ML) and deep learning (DL) techniques. However, in spite of the progress, our recent survey shows that there is still a lack of systematic understanding and organization of commonly used NLP techniques in RE. We believe one hurdle facing the industry is lack of shared knowledge of NLP techniques and their usage in RE tasks. In this paper, we present our effort to synthesize and organize 57 most frequently used NLP techniques in RE. We classify these NLP techniques in two ways: first, by their NLP tasks in typical pipelines and second, by their linguist analysis levels. We believe these two ways of classification are complementary, contributing to a better understanding of the NLP techniques in RE and such understanding is crucial to the development of better NLP tools for RE. ... : 10 pages, 4 tables, 1 figure ...
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Keyword:
68-02; A.1; D.m; I.7.m; Computation and Language cs.CL; FOS Computer and information sciences; Software Engineering cs.SE
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URL: https://dx.doi.org/10.48550/arxiv.2204.04282 https://arxiv.org/abs/2204.04282
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Conceptual Modeling of Events Based on One-Category Ontology ...
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Accelerating Code Search with Deep Hashing and Code Classification ...
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