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.
Ranked #1 on Question Answering on CODAH
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.
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.