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Dealing with Quantifier Scope Ambiguity in Natural Language Understanding
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Hafezi Manshadi, Mohammad – ProQuest LLC, 2014
Quantifier scope disambiguation (QSD) is one of the most challenging problems in deep natural language understanding (NLU) systems. The most popular approach for dealing with QSD is to simply leave the semantic representation (scope-) underspecified and to incrementally add constraints to filter out unwanted readings. Scope underspecification has…
Descriptors: Natural Language Processing, Computational Linguistics, Sentences, Connected Discourse