Transformers

SongNet

Introduced by Li et al. in SongNet: Rigid Formats Controlled Text Generation

SongNet is an auto-regressive Transformer-based language model for rigid format text detection. Sets of symbols are tailor-designed to improve the modeling performance especially on format, rhyme, and sentence integrity. The attention mechanism is improved to impel the model to capture some future information on the format. A pre-training and fine-tuning framework is designed to further improve the generation quality.

Source: SongNet: Rigid Formats Controlled Text Generation

Papers


Paper Code Results Date Stars

Tasks


Task Papers Share
Language Modelling 1 33.33%
Sentence 1 33.33%
Text Generation 1 33.33%

Components


Component Type
🤖 No Components Found You can add them if they exist; e.g. Mask R-CNN uses RoIAlign

Categories