Introducing FELIX: Flexible Text Editing Through Tagging and Insertion

2 · Google AI Research · May 5, 2021, 6:45 p.m.
Posted by Jonathan Mallinson and Aliaksei Severyn, Research Scientists, Google Research Sequence-to-sequence (seq2seq) models have become a favoured approach for tackling natural language generation tasks, with applications ranging from machine translation to monolingual generation tasks, such as summarization, sentence fusion, text simplification, and machine translation post-editing. However these models appear to be a suboptimal choice for many monolingual tasks, as the desired output text of...