NCSU_SAS_WOOKHEE: A Deep Contextual Long-Short Term Memory Model for Text Normalization

Anthology ID:: W15-4317
Volume:: Proceedings of the Workshop on Noisy User-generated Text
Month:: July
Year:: 2015
Address:: Beijing, China
Editors:: Wei Xu, Bo Han, Alan Ritter
Venue:: WNUT
SIG:
Publisher:: Association for Computational Linguistics
Note:
Pages:: 111–119
Language:
URL:: https://preview.aclanthology.org/icon-24-ingestion/W15-4317/
DOI:: 10.18653/v1/W15-4317
Bibkey:
Cite (ACL):: Wookhee Min and Bradford Mott. 2015. NCSU_SAS_WOOKHEE: A Deep Contextual Long-Short Term Memory Model for Text Normalization. In Proceedings of the Workshop on Noisy User-generated Text, pages 111–119, Beijing, China. Association for Computational Linguistics.
Cite (Informal):: NCSU_SAS_WOOKHEE: A Deep Contextual Long-Short Term Memory Model for Text Normalization (Min & Mott, WNUT 2015)
Copy Citation:
PDF:: https://preview.aclanthology.org/icon-24-ingestion/W15-4317.pdf