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It is not the case that Crowdsourced general knowledge still requires natural language processing to produce formal statements
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Reasons For
2 perspectives
Reason for 1 of 2
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1.
Wittgenstein's later work shows that meaning in language is constituted by use within shared practices, not by formal translation from informal to formal registers.
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2.
If semantic content is already determinate in communal linguistic use, NLP 'processing' retrieves rather than produces formal meaning, making it unnecessary for grounding.
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Reason for 2 of 2
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1.
Crowdsourced systems like Wikipedia's infoboxes and Freebase demonstrate that structured, machine-readable formal statements can emerge directly from human curation without NLP intermediaries.
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2.
The historical development of the Semantic Web relied on human-authored ontological markup, not NLP extraction, as its primary mechanism for formalizing crowdsourced knowledge.
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Reasons Against
1 perspective
Reason against
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1.
General knowledge offered by non-expert users is less carefully formulated than encyclopedia entries or lexicon word sense glosses
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2.
Formal statements cannot be directly abstracted from informally expressed natural language without additional processing
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