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Given an input conversation, generate a natural-looking text reply to the last conversation element.

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Greatest papers with code

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

1 Nov 2019huggingface/pytorch-transformers

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

CONVERSATIONAL RESPONSE GENERATION

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

ACL 2020 microsoft/DialoGPT

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

CONVERSATIONAL RESPONSE GENERATION

A Diversity-Promoting Objective Function for Neural Conversation Models

NAACL 2016 microsoft/DialogLSP

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

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

PALM: Pre-training an Autoencoding&Autoregressive Language Model for Context-conditioned Generation

14 Apr 2020overwindows/PALM

An extensive set of experiments show that PALM achieves new state-of-the-art results on a variety of language generation benchmarks covering generative question answering (Rank 1 on the official MARCO leaderboard), abstractive summarization on CNN/DailyMail as well as Gigaword, question generation on SQuAD, and conversational response generation on Cornell Movie Dialogues.

ABSTRACTIVE TEXT SUMMARIZATION CONVERSATIONAL RESPONSE GENERATION DENOISING GENERATIVE QUESTION ANSWERING LANGUAGE MODELLING NATURAL LANGUAGE UNDERSTANDING QUESTION GENERATION TEXT GENERATION