DeepTC – An Extension of DKPro Text Classification for Fostering Reproducibility of Deep Learning Experiments

Tobias Horsmann, Torsten Zesch


Anthology ID:
L18-1403
Volume:
Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)
Month:
May
Year:
2018
Address:
Miyazaki, Japan
Editors:
Nicoletta Calzolari, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Koiti Hasida, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Hélène Mazo, Asuncion Moreno, Jan Odijk, Stelios Piperidis, Takenobu Tokunaga
Venue:
LREC
SIG:
Publisher:
European Language Resources Association (ELRA)
Note:
Pages:
Language:
URL:
https://aclanthology.org/L18-1403
DOI:
Bibkey:
Cite (ACL):
Tobias Horsmann and Torsten Zesch. 2018. DeepTC – An Extension of DKPro Text Classification for Fostering Reproducibility of Deep Learning Experiments. In Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018), Miyazaki, Japan. European Language Resources Association (ELRA).
Cite (Informal):
DeepTC – An Extension of DKPro Text Classification for Fostering Reproducibility of Deep Learning Experiments (Horsmann & Zesch, LREC 2018)
Copy Citation:
PDF:
https://aclanthology.org/L18-1403.pdf
Data
Penn Treebank