Generative Data Augmentation for Commonsense Reasoning

1 code implementation • Findings of the Association for Computational Linguistics 2020 • Yiben Yang, Chaitanya Malaviya, Jared Fernandez, Swabha Swayamdipta, Ronan Le Bras, Ji-Ping Wang, Chandra Bhagavatula, Yejin Choi, Doug Downey

Recent advances in commonsense reasoning depend on large-scale human-annotated training data to achieve peak performance.

Common Sense Reasoning Coreference Resolution +4

Using Large Corpus N-gram Statistics to Improve Recurrent Neural Language Models

no code implementations • NAACL 2019 • Yiben Yang, Ji-Ping Wang, Doug Downey

Recurrent neural network language models (RNNLM) form a valuable foundation for many NLP systems, but training the models can be computationally expensive, and may take days to train on a large corpus.

Extracting Commonsense Properties from Embeddings with Limited Human Guidance

1 code implementation • ACL 2018 • Yiben Yang, Larry Birnbaum, Ji-Ping Wang, Doug Downey

Intelligent systems require common sense, but automatically extracting this knowledge from text can be difficult.

Active Learning Common Sense Reasoning +1