Dec 16, 2018 · The re-defined task is to classify a full dialogue according to the intention of one participant. We term this task as intention classification ...
Two novel ensemble schemes are introduced for combining classification results or features from various classifiers. One is ensembling features from each ...
TL;DR: This paper defines the DA task on multiple round conversations between humans, and proposes a hybrid neural network-based ensemble model for solving ...
In this paper, we propose a triplet training framework based on the multiclass classification approach to conduct the training for the intention detection task.
2019, 'Chinese Dialogue Intention Classification Based on Multi-Model Ensemble' ... using hidden Markov models', Journal of Neuroscience Methods, 199, pp.
Chinese Dialogue Intention Classification Based on Multi-Model Ensemble. In dialogue systems, understanding the user utterances is crucial for providing ...
In this paper, we propose to leverage intent information to enhance multi-turn dialogue modeling. First, we construct a large-scale Chinese multi-turn E- ...
This paper gave an improved ensemble model for Chinese text classification based on CNN and RNN structure. We first changed the bidirectional LSTM structure ...
Missing: Intention | Show results with:Intention
In addition, the solution provides external tools for targeted data enhancement for difficult samples that are hard to classify to reduce misclassification.
Tu M; Wang B; Zhao X, 2019, 'Chinese Dialogue Intention Classification Based on Multi-Model Ensemble', IEEE Access, 7, pp. 11630 - 11639, http://dx.doi.org ...