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Using subcategorization frames to improve French probabilistic parsing

Year: 2012

Type: conference-paper

Abstract: This article introduces results about proba-bilistic parsing enhanced with a word clus-tering approach based on a French syntactic lexicon, the Lefff (Sagot, 2010). We show that by applying this clustering method on verbs and adjectives of the French Tree-bank (Abeille ́ et al., 2003), we obtain accurate performances on French with a parser based on a Probabilistic Context-Free Grammar (Petrov et al., 2006). 1

Source: HAL

Authors: Anthony Sigogne, Mathieu Constant

Institutions: Laboratoire d'Informatique Gaspard-Monge, Université Paris-Est Marne-la-Vallée

Language: English

Topic: Natural Language Processing Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W1622598074

FWCI:

Cites: 16

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Related to: 10