Multi-Layer Ensembling Techniques for Multilingual Intent Classification

no code implementations • 20 Jun 2018 • Charles Costello, Ruixi Lin, Vishwas Mruthyunjaya, Bettina Bolla, Charles Jankowski

In this paper we determine how multi-layer ensembling improves performance on multilingual intent classification.

Classification General Classification +2

Enhancing Chinese Intent Classification by Dynamically Integrating Character Features into Word Embeddings with Ensemble Techniques

no code implementations • 23 May 2018 • Ruixi Lin, Charles Costello, Charles Jankowski

The challenge for Chinese intent classification stems from the fact that, unlike English where most words are made up of 26 phonologic alphabet letters, Chinese is logographic, where a Chinese character is a more basic semantic unit that can be informative and its meaning does not vary too much in contexts.

General Classification intent-classification +2