before_sent: Driven by the increasingly larger deep learning models, neural language generation (NLG) has enjoyed unprecedentedly improvement and is now able to generate a diversity of human-like texts on demand, granting itself the capability of serving as a human writing assistant. Text attribute transfer is one of the most important NLG tasks, which aims to control certain attributes that people may expect the texts to possess , such as sentiment, tense, emotion, political position, etc .
before_sent_with_intent: <coherence> Driven by the increasingly larger deep learning models, neural language generation (NLG) has enjoyed unprecedentedly improvement and is now able to generate a diversity of human-like texts on demand, granting itself the capability of serving as a human writing assistant. Text attribute transfer is one of the most important NLG tasks, which aims to control certain attributes that people may expect the texts to possess , such as sentiment, tense, emotion, political position, etc .
after_sent: Driven by the increasingly larger deep learning models, neural language generation (NLG) , which aims to control certain attributes that people may expect the texts to possess , such as sentiment, tense, emotion, political position, etc .