pyMMAX2: Deep Access to MMAX2 Projects from Python

SEEK ID: https://publications.h-its.org/publications/1146

SEEK ID: https://publications.h-its.org/publications/1146

Research Groups: Natural Language Processing

Publication type: InProceedings

Book Title: Proceedings of LAW 2020

Publisher: Association for Computational Linguistics

Citation: In Proceedings of the 14th Linguistic Annotation Workshop, Online, December 2020, pp. 167-173.

Date Published: 2020

URL: https://www.aclweb.org/anthology/2020.law-1.16/

Registered Mode: imported from a bibtex file