I develop computational models of natural language learning, understanding and generation in people and machines, and my research focuses on basic scientific, mathematical, and engineering problems related to these models. I am especially interested in models that handle the diversity of morphological, syntactic, and semantic phenomena across the world’s languages. My research group is part of the larger Edinburgh natural language processing group, and we collaborate with many people in Edinburgh and more widely. I am also the deputy director of the Centre for Doctoral Training in Data Science, which offers a four-year MSc + PhD programme.

Current Highlights

Sorcha Gilroy and I will teach a one-week course on "Graph formalisms for meaning representations" at NASSLLI 2018. We will also give a half-day tutorial on the same topic at EMNLP 2018.
A structured syntax-semantics interface for English-AMR alignment
Ida Szubert, Adam Lopez, and Nathan Schneider. In Proceedings of NAACL, 2018. To appear.
Weighted DAG automata for semantic graphs
David Chiang, Frank Drewes, Daniel Gildea, Adam Lopez, and Giorgio Satta. In Computational Linguistics, to appear 2018.
Parsing graphs with regular graph grammars
Sorcha Gilroy, Adam Lopez, and Sebastian Maneth. In Proceedings of *SEM, 2017.
(Re)introducing regular graph languages
Sorcha Gilroy, Adam Lopez, Sebastian Maneth, and Pijus Simonaitis. In Meeting on the Mathematics of Language, 2017.
From characters to words to in between: Do we capture morphology?
Clara Vania and Adam Lopez. In Proceedings of ACL, 2017.
A generative parser with a discriminative recognition algorithm
Jianpeng Cheng, Adam Lopez, and Mirella Lapata. In Proceedings of ACL, 2017.
Detecting negation scope is easy, except when it isn't
Federico Fancellu, Adam Lopez, Bonnie Webber and Hangfeng He. In Proceedings of EACL, 2017.
Towards speech-to-text translation without speech recognition
Sameer Bansal, Adam Lopez, Herman Kamper, and Sharon Goldwater. In Proceedings of EACL, 2017.