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From LFG To UD: A Combined Approach

Domaine:

natural language processing

Type de record:

paper
Créateur:
IntDio
Éditeur:
Und
Hôte:avatar
This paper reports on a systematic approach for deriving Universal Dependencies from LFG structures. The conversion starts with a step-wise transformation of the c-structure, combining part-of-speech (POS) information and the embedding path to determine the true head of dependency structures. The paper discusses several issues faced by existing algorithms when applied on Wolof and presents the strategies used to account for these issues. An experimental evaluation indicated that our approach was able to generate the correct output in more than 90% of the cases, leading to a substantial improvement in conversion accuracy compared to the previous models.

Visit

doi.orgunderline.io

Tasks

dependency parsingparsing

Languages

Wolof

Tags

Computer and Information ScienceNatural Language ProcessingNeural Network