More Constructions, More Genres: Extending Stanford Dependencies. - Marie-Catherine de Marneffe; Miriam Connor; Natalia Silveira; Samuel R. Bowman; Timothy Dozat; Christopher D. Manning (DepLing, 2013)

Universal Stanford dependencies: A cross-linguistic typology. - Marie-Catherine de Marneffe; Timothy Dozat; Natalia Silveira; Katri Haverinen; Filip Ginter; Joakim Nivre; Christopher D. Manning (LREC, 2014)

A Gold Standard Dependency Corpus for English. - Natalia Silveira; Timothy Dozat; Marie-Catherine de Marneffe; Samuel R. Bowman; Miriam Connor; John Bauer; Christopher D. Manning (LREC, 2014)

Stanford's Graph-based Neural Dependency Parser at the CoNLL 2017 Shared Task. - Timothy Dozat; Peng Qi 003; Christopher D. Manning (CoNLL Shared Task (2), 2017)

Deep Biaffine Attention for Neural Dependency Parsing. - Timothy Dozat; Christopher D. Manning (ICLR (Poster), 2017)

Simpler but More Accurate Semantic Dependency Parsing. - Timothy Dozat; Christopher D. Manning (ACL (2), 2018)

Universal Dependency Parsing from Scratch. - Peng Qi 003; Timothy Dozat; Yuhao Zhang 004; Christopher D. Manning (CoNLL Shared Task (2), 2018)

FormNet: Structural Encoding beyond Sequential Modeling in Form Document Information Extraction. - Chen-Yu Lee; Chun-Liang Li; Timothy Dozat; Vincent Perot; Guolong Su; Nan Hua; Joshua Ainslie; Renshen Wang; Yasuhisa Fujii; Tomas Pfister (ACL (1), 2022)

FormNetV2: Multimodal Graph Contrastive Learning for Form Document Information Extraction. - Chen-Yu Lee; Chun-Liang Li; Hao Zhang; Timothy Dozat; Vincent Perot; Guolong Su; Xiang Zhang; Kihyuk Sohn; Nikolay Glushnev; Renshen Wang; Joshua Ainslie; Shangbang Long; et al. (ACL (1), 2023)

Dialect-robust Evaluation of Generated Text. - Jiao Sun; Thibault Sellam; Elizabeth Clark; Tu Vu; Timothy Dozat; Dan Garrette; Aditya Siddhant; Jacob Eisenstein; Sebastian Gehrmann (ACL (1), 2023)

FRMT: A Benchmark for Few-Shot Region-Aware Machine Translation. - Parker Riley; Timothy Dozat; Jan A. Botha; Xavier Garcia; Dan Garrette; Jason Riesa; Orhan Firat; Noah Constant (Trans. Assoc. Comput. Linguistics, 2023)