Year: 2017
Type: conference-paper
Abstract: Most work on neural natural language generation (NNLG) focus on controlling the content of the generated text.We experiment with controlling several stylistic aspects of the generated text, in addition to its content.The method is based on conditioned RNN language model, where the desired content as well as the stylistic parameters serve as conditioning contexts.We demonstrate the approach on the movie reviews domain and show that it is successful in generating coherent sentences corresponding to the required linguistic style and content.
DOI: 10.18653/v1/w17-4912
Authors: Jessica Ficler, Yoav Goldberg
Institution: Bar-Ilan University
Language: English
Topic: Topic Modeling
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
Funder: Deutsche Forschungsgemeinschaft
Award: G7805275943
OpenAlex ID: W2735574368