STAMP 4 NLP -- An Agile Framework for Rapid Quality-Driven NLP Applications Development

The progress in natural language processing (NLP) research over the last years, offers novel business opportunities for companies, as automated user interaction or improved data analysis. Building sophisticated NLP applications requires dealing with modern machine learning (ML) technologies, which i...

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Veröffentlicht in:	arXiv.org 2021-11
Hauptverfasser:	Kohl, Philipp, Schmidts, Oliver, Klöser, Lars, Werth, Henri, Kraft, Bodo, Zündorf, Albert
Format:	Artikel
Sprache:	eng
Schlagworte:	Best practice Computer Science - Artificial Intelligence Computer Science - Computation and Language Data analysis Data science Iterative methods Machine learning Natural language processing Prototypes Quality assurance Research projects Software Software engineering Trustworthiness
Online-Zugang:	Volltext
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