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            <namePart type="given">Sivaji</namePart>
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%0 Conference Proceedings
%T Investigating how well contextual features are captured by bi-directional recurrent neural network models
%A Chawla, Kushal
%A Sahu, Sunil Kumar
%A Anand, Ashish
%Y Bandyopadhyay, Sivaji
%S Proceedings of the 14th International Conference on Natural Language Processing (ICON-2017)
%D 2017
%8 December
%I NLP Association of India
%C Kolkata, India
%F chawla-etal-2017-investigating
%U https://aclanthology.org/W17-7534
%P 273-282

Markdown (Informal)

[Investigating how well contextual features are captured by bi-directional recurrent neural network models](https://aclanthology.org/W17-7534) (Chawla et al., ICON 2017)

• Investigating how well contextual features are captured by bi-directional recurrent neural network models (Chawla et al., ICON 2017)

ACL

• Kushal Chawla, Sunil Kumar Sahu, and Ashish Anand. 2017. Investigating how well contextual features are captured by bi-directional recurrent neural network models. In Proceedings of the 14th International Conference on Natural Language Processing (ICON-2017), pages 273–282, Kolkata, India. NLP Association of India.