Abstract
The increasing volume of communication via microblogging messages on social networks has created the need for efficient Natural Language Processing (NLP) tools, especially for unstructured text processing. Extracting information from unstructured social text is one of the most demanding NLP tasks. This paper presents the first part-of-speech tagged data set of social text in Greek, as well as the first supervised part-of-speech tagger developed for such data sets.- Anthology ID:
- 2020.lrec-1.476
- Volume:
- Proceedings of the Twelfth Language Resources and Evaluation Conference
- Month:
- May
- Year:
- 2020
- Address:
- Marseille, France
- Editors:
- Nicoletta Calzolari, Frédéric Béchet, Philippe Blache, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Hélène Mazo, Asuncion Moreno, Jan Odijk, Stelios Piperidis
- Venue:
- LREC
- SIG:
- Publisher:
- European Language Resources Association
- Note:
- Pages:
- 3861–3867
- Language:
- English
- URL:
- https://aclanthology.org/2020.lrec-1.476
- DOI:
- Cite (ACL):
- Maria Nefeli Nikiforos and Katia Lida Kermanidis. 2020. A Supervised Part-Of-Speech Tagger for the Greek Language of the Social Web. In Proceedings of the Twelfth Language Resources and Evaluation Conference, pages 3861–3867, Marseille, France. European Language Resources Association.
- Cite (Informal):
- A Supervised Part-Of-Speech Tagger for the Greek Language of the Social Web (Nikiforos & Kermanidis, LREC 2020)
- PDF:
- https://preview.aclanthology.org/naacl24-info/2020.lrec-1.476.pdf