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This paper presents an approach that is able to automatically extract terms from such document collections which describe what topics discriminate a single ...
Analyzing document collections via context-aware term extraction. Daniel A. Keim, Daniela Oelke and Christian Rohrdantz. University of Konstanz, Germany.
This paper presents an approach that is able to automatically extract terms from such document collections which describe what topics discriminate a single ...
Analyzing Document Collections via Context-Aware Term Extraction · List of references · Publications that cite this publication.
Analyzing Document Collections via Context-Aware Term Extraction. D. A. Keim, D. Oelke, C. Rohrdantz. Proceedings of Natural Language Processing and ...
Analyzing Document Collections via Context-Aware Term Extraction. This item is provided and maintained by German National Library.
Abstract. In large collections of documents that are divided into predefined classes, the differences and similarities of those classes are of special ...
This paper presents a Systematic Mapping Review that focuses on context-aware analysis and its approach to learning processes in mobile learning (m-learning) ...
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Context analysis in NLP involves breaking down sentences into n-grams and noun phrases to extract the themes and facets within a collection of unstructured text ...
We propose FlowCog, an automated, flow-level system to extract flow-specific semantics and correlate such semantics with given information flows.
Missing: Document Collections Term