AI Collection

Journal article

Recurrent Convolutional Neural Networks for Discourse Compositionality

Actions

Email

Email this record

Send the bibliographic details of this record to your email address.

Your Email
Please enter the email address that the record information will be sent to.

-
Your message (optional)
Please add any additional information to be included within the email.
Share
Cite

Cite this record

APA Style

Kalchbrenner, N., & Blunsom, P. (2013). Recurrent Convolutional Neural Networks for Discourse Compositionality. Proceedings of the 2013 Workshop on Continuous Vector Space Models and Their Compositionality.

MLA Style

Kalchbrenner, N, and P Blunsom. “Recurrent Convolutional Neural Networks for Discourse Compositionality.” Proceedings of the 2013 Workshop on Continuous Vector Space Models and Their Compositionality, 2013.

Chicago Style

Kalchbrenner, N, and P Blunsom. 2013. “Recurrent Convolutional Neural Networks for Discourse Compositionality.” Proceedings of the 2013 Workshop on Continuous Vector Space Models and Their Compositionality.
Print

Authors

+ Kalchbrenner, N More by this author

Role:: Author

+ Blunsom, P More by this author

Role:: Author

Journal:: Proceedings of the 2013 Workshop on Continuous Vector Space Models and their Compositionality More from this journal
Publication date:: 2013-01-01

UUID:: uuid:6765a945-2250-4bce-a5a5-1779950cac95
Local pid:: cs:6960
Deposit date:: 2015-03-31
ARK identifier:: ark:/29072/ora_6765a94522504bcea5a51779950cac95

Terms of use

Copyright date:: 2013

Licence:: Terms and Conditions of Use for Oxford University Research Archive

Views and Downloads

About views and downloads

If you are the owner of this record, you can report an update to it here: Report update to this record

TO TOP