z-logo
open-access-imgOpen Access
Adaptive Multi-Compositionality for Recursive Neural Models with Applications to Sentiment Analysis
Author(s) -
Li Dong,
Furu Wei,
Ming Zhou,
Ke Xu
Publication year - 2014
Publication title -
proceedings of the aaai conference on artificial intelligence
Language(s) - English
Resource type - Journals
eISSN - 2374-3468
pISSN - 2159-5399
DOI - 10.1609/aaai.v28i1.8930
Subject(s) - principle of compositionality , treebank , computer science , sentence , artificial intelligence , representation (politics) , composition (language) , artificial neural network , natural language processing , phrase , selection (genetic algorithm) , function (biology) , sentiment analysis , machine learning , parsing , linguistics , philosophy , evolutionary biology , politics , political science , law , biology

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom