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Dialogue Generation

26 papers with code · Natural Language Processing
Subtask of Dialogue · Text Generation

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Relevance of Unsupervised Metrics in Task-Oriented Dialogue for Evaluating Natural Language Generation

ICLR 2018 Maluuba/nlg-eval

However, previous work in dialogue response generation has shown that these metrics do not correlate strongly with human judgment in the non task-oriented dialogue setting.

DIALOGUE GENERATION MACHINE TRANSLATION

Multiresolution Recurrent Neural Networks: An Application to Dialogue Response Generation

2 Jun 2016julianser/hed-dlg-truncated

We introduce the multiresolution recurrent neural network, which extends the sequence-to-sequence framework to model natural language generation as two parallel discrete stochastic processes: a sequence of high-level coarse tokens, and a sequence of natural language tokens.

DIALOGUE GENERATION

End-to-end Adversarial Learning for Generative Conversational Agents

28 Nov 2017oswaldoludwig/Seq2seq-Chatbot-for-Keras

This paper presents a new adversarial learning method for generative conversational agents (GCA) besides a new model of GCA.

DIALOGUE GENERATION

Multi-Turn Response Selection for Chatbots with Deep Attention Matching Network

ACL 2018 baidu/Dialogue

Human generates responses relying on semantic and functional dependencies, including coreference relation, among dialogue elements and their context.

CHATBOT DEEP ATTENTION DIALOGUE GENERATION MACHINE TRANSLATION

Learning Discourse-level Diversity for Neural Dialog Models using Conditional Variational Autoencoders

ACL 2017 snakeztc/NeuralDialog-CVAE

While recent neural encoder-decoder models have shown great promise in modeling open-domain conversations, they often generate dull and generic responses.

DECISION MAKING DIALOGUE GENERATION

Adversarial Learning for Neural Dialogue Generation

EMNLP 2017 liuyuemaicha/Adversarial-Learning-for-Neural-Dialogue-Generation-in-Tensorflow

In this paper, drawing intuition from the Turing test, we propose using adversarial training for open-domain dialogue generation: the system is trained to produce sequences that are indistinguishable from human-generated dialogue utterances.

DIALOGUE GENERATION

Deep Reinforcement Learning for Dialogue Generation

EMNLP 2016 liuyuemaicha/Deep-Reinforcement-Learning-for-Dialogue-Generation-in-tensorflow

Recent neural models of dialogue generation offer great promise for generating responses for conversational agents, but tend to be shortsighted, predicting utterances one at a time while ignoring their influence on future outcomes.

CHATBOT DIALOGUE GENERATION POLICY GRADIENT METHODS

MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations

5 Oct 2018SenticNet/MELD

We propose several strong multimodal baselines and show the importance of contextual and multimodal information for emotion recognition in conversations.

DIALOGUE GENERATION EMOTION RECOGNITION