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Scalability of Redundancy Detection In Focused Document Collections Export

In Proceedings of Workshop on Scalability in Natural Language Understanding (ScaNaLU),

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knowledge semantics

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We describe the application of primarily symbolic methods to the task of detecting logical redundancies and inconsistencies between documents in a medium sized, domain focused collection (1000--40,000 documents). Initial investigations indicate good scalability prospects, especially for syntactic and semantic processing. The di#cult and largely neglected task of mapping from linguistic/semantic representations to domain tailored knowledge representations is potentially more of a...


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