Papers

Working papers

Published papers

Chu-Cheng Lin, Arya McCarthy. On the uncomputability of partition functions in energy-based sequence models. ICLR, 2022.

Chu-Cheng Lin, Aaron Jaech, Xin Li, Matthew R. Gormley, Jason Eisner. Limitations of autoregressive models and their alternatives. NAACL, 2021.

Chu-Cheng Lin, Hao Zhu, Matthew R. Gormley, Jason Eisner. Neural finite-state transducers: beyond rational relations. NAACL, 2019.

Chu-Cheng Lin, Jason Eisner. Neural particle smoothing for sampling from conditional sequence models. NAACL, 2018.

Chu-Cheng Lin, Dongyeop Kang, Michael Gamon, Madian Khabsa, Ahmed Hassan Awadallah, Patrick Pantel. Actionable email intent modeling with reparametrized RNNs. AAAI, 2018.

Chu-Cheng Lin, Waleed Ammar, Chris Dyer, Lori Levin. Unsupervised POS induction with word embeddings. NAACL, 2015.

Ling Wang, Chu-Cheng Lin, Yulia Tsvetkov, Silvio Amir, Ramón Fernandez Astudillo, Chris Dyer, Alan Black, Isabel Trancoso. Not all contexts are created equal: Better word representations with variable attention. EMNLP, 2015.