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Dialogue Generation

28 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

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

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

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

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

ACL 2019 SenticNet/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

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