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Conference papers

Finding Missing Categories in Incomplete Utterances

Mehdi Mirzapour 1
1 TEXTE - Exploration et exploitation de données textuelles
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
Abstract : Finding Missing Categories in Incomplete Utterances This paper introduces an efficient algorithm (O(n 4)) for finding a missing category in an incomplete utterance by using unification technique as when learning categorial grammars, and dynamic programming as in Cocke-Younger-Kasami algorithm. Using syntax/semantic interface of categorial grammar, this work can be used for deriving possible semantic readings of an incomplete utterance. The paper illustrates the problem with running examples.
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Submitted on : Thursday, November 8, 2018 - 12:58:24 PM
Last modification on : Wednesday, November 3, 2021 - 7:45:01 AM
Long-term archiving on: : Saturday, February 9, 2019 - 1:31:10 PM


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  • HAL Id : lirmm-01916236, version 1



Mehdi Mirzapour. Finding Missing Categories in Incomplete Utterances. TALN: Traitement Automatique des Langues Naturelles, Jun 2017, Orléans, France. ⟨lirmm-01916236⟩



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