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Conversational Response Generation

5 papers with code · Natural Language Processing

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A Diversity-Promoting Objective Function for Neural Conversation Models

NAACL 2016 pender/chatbot-rnn

Sequence-to-sequence neural network models for generation of conversational responses tend to generate safe, commonplace responses (e. g., "I don't know") regardless of the input.

CONVERSATIONAL RESPONSE GENERATION

MASS: Masked Sequence to Sequence Pre-training for Language Generation

7 May 2019microsoft/MASS

Pre-training and fine-tuning, e. g., BERT, have achieved great success in language understanding by transferring knowledge from rich-resource pre-training task to the low/zero-resource downstream tasks.

CONVERSATIONAL RESPONSE GENERATION TEXT GENERATION TEXT SUMMARIZATION UNSUPERVISED MACHINE TRANSLATION

DialoGPT: Large-Scale Generative Pre-training for Conversational Response Generation

1 Nov 2019microsoft/DialoGPT

We present a large, tunable neural conversational response generation model, DialoGPT (dialogue generative pre-trained transformer).

CONVERSATIONAL RESPONSE GENERATION

Learning to Abstract for Memory-augmented Conversational Response Generation

ACL 2019 tianzhiliang/MemoryAugDialog

In this work, we propose a memory-augmented generative model, which learns to abstract from the training corpus and saves the useful information to the memory to assist the response generation.

CONVERSATIONAL RESPONSE GENERATION