Geoparsing Recognition and Extraction from Amazigh Corpus Using the NooJ Complex Annotation Structures

Author:

Ladouzi Bouchra,Rhazi Azeddine,Boulaalam Ali

Publisher

Springer Nature Switzerland

Reference11 articles.

1. Hammadou, A.B., Piton, O., Fehri, H.: Multilingual Extraction of functional relations between Arabic Named Entities Using NooJ Platform, HAL Id: 00547940 (2010). https://hal.archives-ouvertes.gr/hal-00547940

2. Diab, M.: Second generation tools (AMIRA 2.0): fast and robust tokenization, POS tagging, and base phrase chunking. In: MEDAR 2nd International Conference on Arabic Language Resources and Tools, Cairo, Egypt (April 2009)

3. Nejm, F.Z., Boulaknadel, S.: Morphological analysis of the standard Amazigh using NooJ. In: Proceeding of TALN 2013, vol. 1 (2013)

4. Gritta, M., Pilehvar, M.T., Collier, N.: A pragmatic guide to geoparsing evaluation toponyms, named entity recognition and pragmatics. Lang. Resour. Eval. 54, 683–712 (2020)

5. Laparra, E., Bethard, S.: A dataset and evaluation framework for complex geographical description parsing. In: Proceedings of the 28th International Conference on Computational Linguistics, pp. 936–948 (2020)

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