Unsupervised Alignment for Segmental-based Language Understanding

Abstract

Recent years’ most efficient approaches for language understanding are statistical. These approaches benefit from a segmental semantic annotation of corpora. To reduce the production cost of such corpora, this paper proposes a method that is able to match first identified concepts with word sequences in an unsupervised way. This method based on automatic… (More)

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