TY - GEN
T1 - Non-linear tagging models with localist and distributed word representations
AU - Chopra, Sumit
AU - Bangalore, Srinivas
PY - 2011
Y1 - 2011
N2 - Distributed representations of words are attractive since they provide a means for measuring word similarity. However, most approaches to learning distributed representations are divorced from the task context. In this paper, we describe a model that learns distributed representations of words in order to optimize task performance. We investigate this model for part-of-speech tagging and supertagging tasks and demonstrate its superior accuracy over localist models, especially for rare words. We also show that adding non-linearity in the model aids in improved accuracy for complex tasks such as supertagging.
AB - Distributed representations of words are attractive since they provide a means for measuring word similarity. However, most approaches to learning distributed representations are divorced from the task context. In this paper, we describe a model that learns distributed representations of words in order to optimize task performance. We investigate this model for part-of-speech tagging and supertagging tasks and demonstrate its superior accuracy over localist models, especially for rare words. We also show that adding non-linearity in the model aids in improved accuracy for complex tasks such as supertagging.
UR - http://www.scopus.com/inward/record.url?scp=80051651276&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=80051651276&partnerID=8YFLogxK
U2 - 10.1109/ICASSP.2011.5946751
DO - 10.1109/ICASSP.2011.5946751
M3 - Conference contribution
AN - SCOPUS:80051651276
SN - 9781457705397
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - 2144
EP - 2147
BT - 2011 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 - Proceedings
T2 - 36th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011
Y2 - 22 May 2011 through 27 May 2011
ER -