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Generating and Simplifying Sentences

Shashi Narayan 1
1 SYNALP - Natural Language Processing : representations, inference and semantics
LORIA - NLPKD - Department of Natural Language Processing & Knowledge Discovery
Abstract : Depending on the input representation, Natural Language Generation can be categorized into two classes: MR-to-text (meaning representation to text) generation and text-to-text generation. This dissertation investigates issues from both classes. Accordingly, this dissertation is divided into two parts: the first part (MR-to-text generation, “Generating Sentences”) focuses on the task of generating natural language text from shallow dependency trees while the second part (text-to-text generation, “Simplifying Sentences”) tries to generate simple sentence(s) given a complex sentence.
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Submitted on : Thursday, January 14, 2016 - 3:58:17 PM
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  • HAL Id : tel-01751063, version 2


Shashi Narayan. Generating and Simplifying Sentences. Computation and Language [cs.CL]. Université de Lorraine, 2014. English. ⟨NNT : 2014LORR0166⟩. ⟨tel-01751063v2⟩



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