Генерация ответов в диалоге

task ID: dialogresponsegeneration

Related Papers

Boosting Dialog Response Generation

Authors: nan

Publication: TIPSTER (2019)

DOI: nan

AbstractNeural models have become one of the most important approaches to dialog response generation. However, they still tend to generate the most common and generic responses in the corpus all …...

39960

Implicit Deep Latent Variable Models for Text Generation

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AbstractDeep latent variable models (LVM) such as variational auto-encoder (VAE) have recently played an important role in text generation. One key factor is the exploitation of smooth latent structures to …...

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Top-Down Structurally-Constrained Neural Response Generation with Lexicalized Probabilistic Context-Free Grammar

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AbstractWe consider neural language generation under a novel problem setting: generating the words of a sentence according to the order of their first appearance in its lexicalized PCFG parse tree, …...

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Continual Learning for Natural Language Generations with Transformer Calibration

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Publication: TIPSTER (2022)

DOI: nan

AbstractConventional natural language process (NLP) generation models are trained offline with a given dataset for a particular task, which is referred to as isolated learning. Research on sequence-to-sequence language generation …...

41651