We present ETC-NLG, an approach leveraging topic modeling annotations to enable fully-unsupervised End-to-end Topic-Conditioned Natural Language Generation over emergent topics in unlabeled document collections.
A summary of promising directions from ICLR 2020 for better and faster pretrained tranformers language models.
A semantic browser for SARS-CoV-2 and COVID-19 powered by neural language models.
An overview of the latest advances in the field of NLP, with a focus on neural models and language understanding.
Is it possible to induce sparseness in neural networks while preserving its performances? An overview of latest advances in making neural approaches more parsimonious