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"As the web is becoming ubiquitous, interactive, and multimodal, technology needs to deal increasingly with human factors, including emotions. The present draft specification of Emotion Markup Language 1.0 aims to strike a balance between practical applicability and scientific well-foundedness. The language is conceived as a "plug-in" language suitable for use in three different areas: (1) manual annotation of data; (2) automatic recognition of emotion-related states from user behavior; and (3) generation of emotion-related system behavior."

Federated knOwledge eXtraction Framework FOX is a framework that integrates the Linked Data Cloud and makes uses of the diversity of NLP algorithms to extract RDF triples of high accuracy out of NL. In its current version, it integrates and merges the results of Named Entity Recognition, Keyword Extraction and Relation Extraction tools.

DBpedia Spotlight is a tool for annotating mentions of DBpedia resources in text, providing a solution for linking unstructured information sources to the Linked Open Data cloud through DBpedia. DBpedia Spotlight can be used for Named Entity Recognition, Name Resolution, amongst other information extraction tasks.

"Federated Knowledge Extraction Framework FOX is a framework that integrates the Linked Data Cloud and makes use of the diversity of NLP algorithms to extract RDF triples of high accuracy out of NL. In its current version, it integrates and merges the results of Named Entity Recognition tools. Keyword Extraction and Relation Extraction tools will be merged soon."

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