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Greatest papers with code

A Latent Variable Recurrent Neural Network for Discourse Relation Language Models

7 Mar 2016jiyfeng/drlm

This paper presents a novel latent variable recurrent neural network architecture for jointly modeling sequences of words and (possibly latent) discourse relations between adjacent sentences.

DIALOG ACT CLASSIFICATION IMPLICIT DISCOURSE RELATION CLASSIFICATION LANGUAGE MODELLING

Probabilistic Word Association for Dialogue Act Classification with Recurrent Neural Networks

Engineering Applications of Neural Networks 2018 NathanDuran/Probabilistic-RNN-DA-Classifier

The identification of Dialogue Act’s (DA) is an important aspect in determining the meaning of an utterance for many applications that require natural language understanding, and recent work using recurrent neural networks (RNN) has shown promising results when applied to the DA classification problem.

DIALOG ACT CLASSIFICATION DIALOGUE ACT CLASSIFICATION NATURAL LANGUAGE UNDERSTANDING WORD EMBEDDINGS

Self-Governing Neural Networks for On-Device Short Text Classification

EMNLP 2018 glicerico/SGNN

Deep neural networks reach state-of-the-art performance for wide range of natural language processing, computer vision and speech applications.

DIALOG ACT CLASSIFICATION DIALOGUE ACT CLASSIFICATION TEXT CLASSIFICATION WORD EMBEDDINGS

Optimizing Neural Network Hyperparameters with Gaussian Processes for Dialog Act Classification

27 Sep 2016Franck-Dernoncourt/slt2016

Therefore it is a useful technique for tuning ANN models to yield the best performances for natural language processing tasks.

DIALOG ACT CLASSIFICATION GAUSSIAN PROCESSES