In recent years, with the development of deep learning technology , text generation technology has undergone great changes and provided many kinds of services for human beings, such as restaurant reservation and daily communication. The automatically generated text is becoming more and more fluent so researchers begin to consider more anthropomorphic text generation technology, that is the conditional text generation, including emotional text generation, personalized text generation, and so on. Conditional text generation (c-TextGen ) has thus become a research hotspot. As a promising research field, we find that many efforts have been paid to researches of c-TextGen . Therefore, we aim to give a comprehensive review of the new research trends of c-TextGen . We first give a brief literature review of text generation technology , based on which we formalize the concept model of c-TextGen . We further make an investigation of several different c-TextGen techniques, and illustrate the advantages and disadvantages of commonly used neural network models . Finally, we discuss the open issues and promising research directions of c-TextGen .
In recent years, with the development of deep learning , text generation technology has undergone great changes and provided many kinds of services for human beings, such as restaurant reservation and daily communication. The automatically generated text is becoming more and more fluent so researchers begin to consider more anthropomorphic text generation technology, that is the conditional text generation, including emotional text generation, personalized text generation, and so on. Conditional Text Generation (CTG ) has thus become a research hotspot. As a promising research field, we find that many efforts have been paid to exploring it . Therefore, we aim to give a comprehensive review of the new research trends of CTG . We first summary several key techniques and illustrate the technical evolution route in the field of neural text generation , based on the concept model of CTG . We further make an investigation of existing CTG fields and propose several general learning models for CTG . Finally, we discuss the open issues and promising research directions of CTG .
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technology
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text generation (c-TextGen
Text Generation (CTG
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researches of c-TextGen
exploring it
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c-TextGen
CTG
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give a brief literature review of text generation technology
summary several key techniques and illustrate the technical evolution route in the field of neural text generation
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which we formalize
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c-TextGen
CTG
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several different c-TextGen techniques, and illustrate the advantages and disadvantages of commonly used neural network models
existing CTG fields and propose several general learning models for CTG
R
c-TextGen
CTG