Gapping Constructions in Universal Dependencies v2. - Sebastian Schuster; Matthew Lamm; Christopher D. Manning (UDW@NoDaLiDa, 2017)

The Pragmatics of Indirect Commands in Collaborative Discourse. - Matthew Lamm; Mihail Eric (IWCS(2), 2017)

TinkerBell: Cross-lingual Cold-Start Knowledge Base Construction. - Mohamed Al-Badrashiny; Jason Bolton; Arun Tejasvi Chaganty; Kevin Clark; Craig Harman; Lifu Huang; Matthew Lamm; Jinhao Lei; Di Lu 003; Xiaoman Pan; Ashwin Paranjape; Ellie Pavlick; et al. (TAC, 2017)

Stanford at TAC KBP 2017: Building a Trilingual Relational Knowledge Graph. - Arun Tejasvi Chaganty; Ashwin Paranjape; Jason Bolton; Matthew Lamm; Jinhao Lei; Abigail See; Kevin Clark; Yuhao Zhang 004; Peng Qi 003; Christopher D. Manning (TAC, 2017)

Graph Neural Networks and Boolean Satisfiability. - Benedikt Bünz; Matthew Lamm (CoRR, 2017)

Textual Analogy Parsing: What's Shared and What's Compared among Analogous Facts. - Matthew Lamm; Arun Tejasvi Chaganty; Christopher D. Manning; Dan Jurafsky; Percy Liang (EMNLP, 2018)

Compositional Generalization in Image Captioning. - Mitja Nikolaus; Mostafa Abdou; Matthew Lamm; Rahul Aralikatte; Desmond Elliott (CoNLL, 2019)

Learning a SAT Solver from Single-Bit Supervision. - Daniel Selsam; Matthew Lamm; Benedikt Bünz; Percy Liang; Leonardo de Moura 001; David L. Dill (ICLR (Poster), 2019)

Ellipsis and Coreference Resolution as Question Answering. - Rahul Aralikatte; Matthew Lamm; Daniel Hardt; Anders Søgaard (CoRR, 2019)

Ellipsis Resolution as Question Answering: An Evaluation. - Rahul Aralikatte; Matthew Lamm; Daniel Hardt; Anders Søgaard (EACL, 2021)

Measuring Attribution in Natural Language Generation Models. - Hannah Rashkin; Vitaly Nikolaev; Matthew Lamm; Michael Collins 001; Dipanjan Das 001; Slav Petrov; Gaurav Singh Tomar; Iulia Turc; David Reitter (CoRR, 2021)

Decontextualization: Making Sentences Stand-Alone. - Eunsol Choi; Jennimaria Palomaki; Matthew Lamm; Tom Kwiatkowski; Dipanjan Das 001; Michael Collins 001 (Trans. Assoc. Comput. Linguistics, 2021)

QED: A Framework and Dataset for Explanations in Question Answering. - Matthew Lamm; Jennimaria Palomaki; Chris Alberti; Daniel Andor; Eunsol Choi; Livio Baldini Soares; Michael Collins 001 (Trans. Assoc. Comput. Linguistics, 2021)

Retrieval-guided Counterfactual Generation for QA. - Bhargavi Paranjape; Matthew Lamm; Ian Tenney (ACL (1), 2022)

LaMDA: Language Models for Dialog Applications. - Romal Thoppilan; Daniel De Freitas; Jamie Hall; Noam Shazeer; Apoorv Kulshreshtha; Heng-Tze Cheng; Alicia Jin; Taylor Bos; Leslie Baker; Yu Du; YaGuang Li; Hongrae Lee; et al. (CoRR, 2022)

Measuring Attribution in Natural Language Generation Models. - Hannah Rashkin; Vitaly Nikolaev; Matthew Lamm; Lora Aroyo; Michael Collins 001; Dipanjan Das 001; Slav Petrov; Gaurav Singh Tomar; Iulia Turc; David Reitter (Comput. Linguistics, 2023)