CV

Appointments

  • Reader. 2014 – present. University of Edinburgh School of Informatics.
  • Assistant research professor. 2012 – 2015. Johns Hopkins University Department of Computer Science.
  • Assistant research scientist. 2011 – 2012. Johns Hopkins University Department of Computer Science.
  • Postdoctoral research associate. 2008 – 2010. University of Edinburgh School of Informatics.

Education

  • Ph.D. 2008. University of Maryland Department of Computer Science.
  • M.S. 2002. University of Maryland Department of Computer Science.
  • B.S. 1997. Duke University Department of Computer Science.

Papers

Refereed journal articles

  • David Chiang, Frank Drewes, Daniel Gildea, Adam Lopez, and Giorgio Satta. 2018. Weighted DAG automata for semantic graphs. In Computational Linguistics, 44(1).
  • Hua He, Jimmy Lin, and Adam Lopez. 2015. Gappy pattern matching on GPUs for on-demand extraction of hierarchical translation grammars. In Transactions of the ACL, 3.
  • Adam Lopez, Matt Post, Chris Callison-Burch, Jonathan Weese, Juri Ganitkevitch, Narges Ahmidi, Olivia Buzek, Leah Hanson, Beenish Jamil, Matthias Lee, Ya-Ting Lin, Henry Pao, Fatima Rivera, Leili Shahriyari, Debu Sinha, Adam Teichert, Stephen Wampler, Michael Weinberger, Daguang Xu, Lin Yang, and Shang Zhao. 2013. Learning to translate with products of novices: a suite of open-ended challenge problems for teaching MT. In Transactions of the ACL, 1.
  • Abhishek Arun, Barry Haddow, Philipp Koehn, Adam Lopez, Phil Blunsom, and Chris Dyer. 2010. Monte Carlo techniques for phrase-based translation. In Machine Translation, 24(2).
  • Adam Lopez. 2008. Statistical machine translation. In ACM Computing Surveys, 40(3). Article 8.

Refereed conference papers

  • Clara Vania, Andreas Grivas, and Adam Lopez. 2018. What do character-level models learn about morphology? The case of dependency parsing. In Proceedings of EMNLP.
  • Sameer Bansal, Herman Kamper, Karen Livescu, Adam Lopez, and Sharon Goldwater. 2018. Low-resource speech-to-text translation. In Proceedings of Interspeech.
  • Arabella Sinclair, Adam Lopez, Christopher G. Lucas and Dragan Gašević. 2018. Does ability affect alignment in second language tutorial dialogue? In Proceedings of SIGDIAL.
  • Ida Szubert, Adam Lopez, and Nathan Schneider. 2018. A structured syntax-semantics interface for English-AMR alignment. In Proceedings of NAACL.
  • Sorcha Gilroy, Adam Lopez, and Sebastian Maneth. 2017. Parsing graphs with regular graph grammars. In Proceedings of *SEM.
  • Clara Vania and Adam Lopez. 2017. From characters to words to in between: Do we capture morphology? In Proceedings of ACL.
  • Jianpeng Cheng, Adam Lopez, and Mirella Lapata. 2017. A generative parser with a discriminative recognition algorithm. In Proceedings of ACL.
  • Federico Fancellu, Adam Lopez, Bonnie Webber and Hangfeng He. 2017. Detecting negation scope is easy, except when it isn't. In Proceedings of EACL.
  • Sameer Bansal, Adam Lopez, Herman Kamper, and Sharon Goldwater. 2017. Towards speech-to-text translation without speech recognition. In Proceedings of EACL.
  • Sameer Bansal, Herman Kamper, Sharon Goldwater, and Adam Lopez. 2017. Weakly supervised spoken term discovery using cross-lingual side information. In Proceedings of ICASSP.
  • Nikolay Bogoychev and Adam Lopez. 2016. N-gram language models for massively parallel devices. In Proceedings of ACL.
  • Federico Fancellu, Adam Lopez, and Bonnie Webber. 2016. Neural networks for negation scope detection. In Proceedings of ACL.
  • Jason Smith, Herve Saint-Amand, Magdalena Plamada, Philipp Koehn, Chris Callison-Burch and Adam Lopez. 2013. Dirt cheap Web-scale parallel text from the Common Crawl. In Proceedings of ACL.
  • Hua He, Jimmy Lin, and Adam Lopez. 2013. Massively parallel suffix array queries and on-demand phrase extraction for statistical machine translation using GPUs. In Proceedings of NAACL HLT.
  • Michael Auli and Adam Lopez. 2011. Training a log-linear parser with loss functions via softmax-margin. In Proceedings of EMNLP.
  • Michael Auli and Adam Lopez. 2011. A comparison of loopy belief propagation and dual decomposition for integrated CCG supertagging and parsing. In Proceedings of ACL.
  • Michael Auli and Adam Lopez. 2011. Efficient CCG parsing: A* versus adaptive supertagging. In Proceedings of ACL.
  • Abhishek Arun, Chris Dyer, Barry Haddow, Phil Blunsom, Adam Lopez, and Philipp Koehn. 2009. Monte Carlo inference and maximization for phrase-based translation. In Proceedings of CoNLL.
  • Adam Lopez. 2009. Translation as weighted deduction. In Proceedings of EACL.
  • Adam Lopez. 2008. Tera-scale translation models via pattern matching. In Proceedings of COLING.
  • Adam Lopez. 2007. Hierarchical phrase-based translation with suffix arrays. In Proceedings of EMNLP-CoNLL.
  • Adam Lopez, Philip Resnik. 2006. Word-based alignment, phrase-based translation: What's the link? In Proceedings of AMTA.
  • David Chiang, Adam Lopez, Nitin Madnani, Christof Monz, Philip Resnik, and Michael Subotin. 2005. The Hiero machine translation system: Extensions, evaluation, and analysis. In Proceedings of HLT/EMNLP.

Refereed workshop and demonstration papers

  • Yova Kementchedjhieva and Adam Lopez. 2018. Indicatements that character language models learn English morpho-syntactic units and regularities. In Proceedings of the Workshop on analyzing and interpreting neural networks for NLP.
  • Antonios Anastasopoulos, Sameer Bansal, David Chiang, Sharon Goldwater and Adam Lopez. 2017. Spoken term discovery for language documentation using translations. In Workshop on Speech-Centric Natural Language Processing (SCNLP).
  • Clara Vania, Xingxing Zhang, and Adam Lopez. 2017. UParse: the Edinburgh system for the CoNLL 2017 UD shared task. In Proceedings of the CoNLL shared task.
  • Sorcha Gilroy, Adam Lopez, Sebastian Maneth, and Pijus Simonaitis. 2017. (Re)introducing regular graph languages. In Meeting on the Mathematics of Language.
  • Federico Fancellu, Siva Reddy, Adam Lopez, and Bonnie Webber. 2017. Universal dependencies to logical forms with negation scope. In Proceedings of the Workshop on Computational Semantics Beyond Events and Roles.
  • Naomi Saphra and Adam Lopez. 2016. Evaluating informal-domain word representations with UrbanDictionary. In Proceedings of RepEval.
  • Dominikus Wetzel, Adam Lopez, and Bonnie Webber. 2015. A maximum entropy classifier for cross-lingual pronoun prediction. In Proceedings of the Workshop on Discourse in Machine Translation.
  • Naomi Saphra and Adam Lopez. 2015. AMRICA: an AMR Inspector for Cross-language Alignments. In NAACL-HLT Demonstrations.
  • Matt Post and Adam Lopez. 2014. The machine translation leaderboard. In The Prague Bulletin of Mathematical Linguistics,
  • Matt Post, Gaurav Kumar, Adam Lopez, Damianos Karakos, Chris Callison-Burch, and Sanjeev Khudanpur. 2013. General lattice decoding for improved speech-to-text translation with the Fisher and Callhome Spanish-English Speech Translation Corpus. In Proceedings of IWSLT.
  • Adam Lopez. 2012. Putting human assessments of machine translation systems in order. In Proceedings of WMT.
  • Jonathan Weese, Chris Callison-Burch and Adam Lopez. 2012. Using categorial grammar to label translation rules. In Proceedings of WMT.
  • Jonathan Weese, Juri Ganitkevitch, Chris Callison-Burch, Matt Post and Adam Lopez. 2011. Joshua 3.0: Syntax-based machine translation with the Thrax grammar extractor. In Proceedings of WMT.
  • Chris Dyer, Adam Lopez, Juri Ganitkevitch, Jonny Weese, Ferhan Ture, Phil Blunsom, Hendra Setiawan, Vlad Eidelman, and Philip Resnik. 2010. cdec: A decoder, alignment, and learning framework for finite-state and context-free translation models. In Proceedings of ACL (Demonstration track).
  • Hieu Hoang, Philipp Koehn, and Adam Lopez. 2009. A unified framework for phrase-based, hierarchical, and syntax-based statistical machine translation. In Proceedings of IWSLT.
  • Michael Auli, Adam Lopez, Hieu Hoang, and Philipp Koehn. 2009. A systematic analysis of translation model search spaces. In Proceedings of the Fourth Workshop on Statistical Machine Translation.
  • Adam Lopez, Philip Resnik. 2005. Pattern visualization for machine translation output. In Proceedings of HLT/EMNLP Demonstrations.
  • Adam Lopez, Philip Resnik. 2005. Improved HMM alignment models for languages with scarce resources. In Proceedings of the ACL 2005 Workshop on Building and Using Parallel Texts: Data Driven Machine Translation and Beyond.
  • Adam Lopez, Michael Nossal, Rebecca Hwa, and Philip Resnik. 2002. Word-level alignment for multilingual resource acquisition. In Proceedings of the LREC Workshop on Linguistic Knowledge Acquisition and Representation—Bootstrapping Annotated Language Data.

Unpublished working papers

  • Federico Fancellu, Adam Lopez, and Bonnie Webber. 2018. Neural networks for cross-lingual negation scope detection. In arXiv preprint arXiv:1810.02156.
  • Sameer Bansal, Herman Kamper, Karen Livescu, Adam Lopez, and Sharon Goldwater. 2018. Pre-training on high-resource speech recognition improves low-resource speech-to-text translation. In arXiv preprint arXiv:1809.01431.

Datasets

  • Fisher and CALLHOME Spanish--English speech translation. 2014. Matt Post, Gaurav Kumar, Adam Lopez, Damianos Karakos, Chris Callison-Burch, and Sanjeev Khudanpur. Released by the Linguistic Data Consortium as LDC2014T23.

Awards

  • Notable student paper award. 2011. For EMNLP paper Training a Log-Linear Parser with Loss Functions via Softmax-Margin with Michael Auli.

Grants

  • EAGER: Formal and empirical foundations of semantics-preserving machine translation. 2013 – 2015. National Science Foundation (USA), $150K.
  • Google faculty research award. 2015. $52K.
  • Amazon academic research award. 2016. $60K.

Invited Talks

  • What do neural networks learn about language? 2018. Georgetown University.
  • What do neural networks learn about language? 2017. #botsBerlin deep tech meetup, hosted by Rasa NLU.
  • What do neural networks learn about language? 2017. Amazon Research.
  • Practical and theoretical problems on the frontiers of multilingual natural language processing. 2016. University of Glasgow, Department of computer science.
  • A formal model of semantics-preserving translation. 2015. University of Sheffield, Department of computer science.
  • A formal model of semantics-preserving translation. 2014. Carnegie Mellon University, Language Technologies Institute.
  • A formal model of semantics-preserving translation. 2014. University of Edinburgh Institute for Language, Cognition, and Computation.
  • Synchronous combinatory categorial grammar. 2014. University of Oxford Department of Computer Science.
  • A formal model of semantics-preserving translation. 2014. Information Sciences Institute.
  • A linguistically-informed formal model of translation. 2014. University of Illinois Department of Linguistics.
  • Statistical machine translation. 2014. Knox College Department of Computer Science.
  • A formal model of semantics-preserving translation. 2014. Toyota Technical Institute at Chicago.
  • Transduction and combinatory categorial grammar. 2013. Simon Fraser University.
  • Compact adaptable translation models on GPUs. 2013. Google.
  • Learning to translate with products of novices: Open-ended challenge problems for teaching machine translation (and AI). 2013. Information Sciences Insitute.
  • Synchronous combinatory categorial grammar. 2013. Columbia University.
  • Integrated parsing and tagging. 2012. IBM Research.
  • Generic approximate inference for very large structured NLP models. 2010. Johns Hopkins University Human Language Technology Center of Excellence.
  • Semiring parsing without parsing. 2009. University of Oxford.
  • Semiring parsing without parsing. 2009. University of Cambridge.
  • Translation model search spaces. 2009. University of Saarland.
  • Translation model search spaces. 2009. Dublin City University.
  • Translation by pattern matching. 2008. Machine Translation Marathon workshop.
  • Hierarchical phrase-based translation with suffix arrays. 2007. University of Amsterdam.
  • Hierarchical phrase-based translation with suffix arrays. 2007. University of Edinburgh.
  • Hierarchical phrase-based translation with suffix arrays. 2007. University of Pittsburgh.
  • Hierarchical phrase-based translation with suffix arrays. 2007. Carnegie Mellon University.
  • Hierarchical phrase-based translation with suffix arrays. 2007. Microsoft Research.
  • Hierarchical machine translation with suffix arrays. 2007. MITRE Corporation.
  • Statistical machine translation. 2006. Colgate University.
  • Statistical machine translation. 2005. Union College.

Teaching

University courses

  • Natural language understanding. 2018. Fourth-year and MSc course at the University of Edinburgh.
  • Processing formal and natural languages. 2016 (with John Longley). Second-year course at the University of Edinburgh.
  • Machine translation. 2015, 2016, 2017. Fourth-year and MSc course at the University of Edinburgh.
  • Machine translation. 2012 (with Matt Post and Chris Callison-Burch), 2014 (with Matt Post). Graduate course at Johns Hopkins University.
  • Probability on strings, trees, and sequences. 2013, 2014. Graduate seminar at Johns Hopkins University.
  • Computer science II. 2000. Prince George's Community College.

Tutorials and Short Courses

  • Graph formalisms for meaning representations. 2018. One-week course at the North American Summer School on Logic, Language, and Information (NASSLLI). Co-taught with Sorcha Gilroy.
  • Word alignment. 2013. Tutorial lecture at the Eighth Machine Translation Marathon.
  • Statistical machine translation. 2012. One-week course at the North American Summer School on Logic, Language, and Information (NASSLLI).
  • Phrase-based translation. 2012. Tutorial lecture at the Seventh Machine Translation Marathon.
  • Machine translation. 2012. Tutorial lecture at NAACL Summer School on Human Language Technology.
  • Discriminative translation and transducers. 2011. Tutorial lecture at NAACL Summer School on Human Language Technology.
  • Statistical machine translation. 2010. One-week course at the European Summer School in Logic, Language and Information (ESSLLI).
  • Introduction to machine translation. 2010. Tutorial lecture at the Fifth Machine Translation Marathon.
  • Machine translation. 2010. Tutorial lecture at NAACL Summer School on Human Language Technology.
  • Introduction to machine translation. 2010. Tutorial lecture at the Fourth Machine Translation Marathon.
  • Machine translation. 2009. Tutorial lecture at NAACL Summer School on Human Language Technology.
  • Introduction to machine translation. 2009. Tutorial lecture at the Third Machine Translation Marathon.
  • Syntax-based machine translation. 2008. Tutorial lecture at the Second Machine Translation Marathon.

Public engagement

  • When will Google Translate learn to translate poetry? 2018. Talk at Pint of Science festival.
  • Can Google Translate learn to translate poems? 2017. Talk at WordPolishers Present: Refraction, a poetry translation event at LeithLate arts festival.
  • Sutton Trust Summer School. 2015–17. Tutorial workshop for high school students.
  • INSPIRE summer school. 2016–17. Tutorial workshop for high school students.

Advising

PhD students (as primary supervisor)

  • Nikolay Bogoychev. PhD student at the University of Edinburgh since 2015.
  • Sorcha Gilroy. PhD student at the University of Edinburgh since 2015.
  • Naomi Saphra. PhD student at University of Edinburgh since 2015, Johns Hopkins University 2013–2015.
  • Clara Vania. PhD student at the University of Edinburgh since 2015.
  • Adithya Renduchintala. PhD student at Johns Hopkins University since 2013, advised until 2014.
  • Jason Smith. PhD student at Johns Hopkins University from 2006 to 2013, advised from 2011 to 2013. Now at Google.
  • Dr. Michael Auli. PhD University of Edinburgh, 2012. Now at Facebook AI Research.

PhD students (as second supervisor)

  • Ida Szubert. PhD student at the University of Edinburgh since 2016. Primary advisor: Mark Steedman.
  • Sameer Bansal. PhD student at the University of Edinburgh since 2016. Primary advisor: Sharon Goldwater.
  • Joana Ribeiro. PhD student at the University of Edinburgh since 2015. Primary advisor: Shay Cohen.
  • Jianpeng Cheng. PhD student at the University of Edinburgh since 2015. Primary advisor: Mirella Lapata.
  • Marco Damonte. PhD student at the University of Edinburgh since 2015. Primary advisor: Shay Cohen.
  • Federico Fancellu. PhD student at the University of Edinburgh since 2014. Primary advisor: Bonnie Webber.
  • Dominikus Wetzel. PhD student at the University of Edinburgh since 2013. Primary advisor: Bonnie Webber.

Masters students

  • Moise Lubwimi. MInf, University of Edinburgh, 2018. Thesis: Investigating English generation from Abstract Meaning.
  • Justas Zemgulys. MInf, University of Edinburgh, 2018. Thesis: Deep Learning for semantic parsing.
  • Andreas Grivas. MSc, University of Edinburgh, 2017. Thesis: Parsing morphologically-rich languages using neural networks.
  • Yova Kementchedjhieva. MSc, University of Edinburgh, 2017. Thesis: Morpho-Syntactic Awareness in a Character-Level Language Model.
  • Juny Li. MSc, University of Edinburgh, 2017. Thesis: Language Model on GPU.
  • Ieva Vasiljeva. MSc, University of Edinburgh, 2017. Thesis: Problems in Graph Grammars: Exploring the Possibility of a Probabilistic Directed Acyclic Graph Automaton.
  • Ajay Viswanathan. MSc, University of Edinburgh, 2017. Thesis: Intent classification for chatbots.
  • Lena Reisinger. MInf, University of Edinburgh, 2017. Thesis: LSTM feature representation in projective and non-projective transition-based dependency parsers.
  • Arthur Verkaik. MInf, University of Edinburgh, 2017. Thesis: An interface to assist with large-scale image caption translation.
  • Evangelia Lypiridi. MSc, University of Edinburgh, 2016. Thesis: Learning to generate natural language from abstract meaning representation using a phrase-based model.
  • Despoina Christou. MSc, University of Edinburgh, 2016. Thesis: Learning to generate natural language from abstract meaning representations with neural machine translation.
  • Ida Szubert. MSc student, University of Edinburgh, 2016. Thesis: Methods for automatic alignment of abstract meaning representation and dependency grammar.
  • Sameer Bansal. MSc, University of Edinburgh, 2015. Thesis: Speech translation without speech recognition.
  • Sorcha Gilroy. MSc, University of Edinburgh, 2015. Thesis: Towards probabilistic regular graph languages.
  • Clara Vania. MSc, University of Edinburgh, 2015. Thesis: Bilingual word alignment with side information.

Undergraduates

  • Ramona Comanescu. BSc, University of Edinburgh, 2018. Thesis: Why is AI "a sea of dudes"? Using data science and NLP methods to understand gender imbalance in a scientific community.
  • Iulia Banghea. BSc, University of Edinburgh, 2016. Thesis: Exploring methods of native language identification.

Interns

  • Chip Huyen. BSc student at Stanford University, hosted summer 2016.
  • Pijus Simonaitis. MSc student at École Normale Supérieure de Lyon, hosted summer 2016.
  • Katarzyna Pruś. BSc student at University of Dundee, hosted summer 2015.

Student Committees

  • Arturo Argueta. PhD candidacy exam, University of Notre Dame, 2018.
  • Dr. Siva Reddy. Thesis examiner. PhD, University of Edinburgh, 2017.
  • James Owers. Annual review committee, University of Edinburgh, 2017.
  • Paul Baltescu. Thesis examiner. MScRes, Oxford University, 2016.
  • Dr. Herman Kamper. Thesis committee. PhD, University of Edinburgh, 2016.
  • Dr. Liane Guillou. Thesis examiner. PhD, University of Edinburgh, 2016.
  • Dr. Bharat Ram Ambati. Thesis committee. PhD, University of Edinburgh, 2016.
  • Dr. Xingyi Song. Thesis examiner. PhD, University of Sheffield, 2016.
  • Maria Nadejde. Annual review committee, University of Edinburgh, 2014 and 2016.
  • Adam Teichert. PhD candidacy committee, Johns Hopkins University, 2014.
  • Dr. Loïc Dugast. Thesis committee. PhD, University of Edinburgh, 2013.
  • Dr. Hieu Hoang. Thesis committee. PhD, University of Edinburgh, 2011.
  • Niyue Tan. First-year committee, University of Edinburgh, 2009.

Consulting

  • Visiting Scientist. 2013. SDL Research.

Service

Research community

  • Action Editor. Transactions of the Association for Computational Linguistics 2016–2018.
  • Editorial Board. Computational Linguistics 2015–17.
  • Publications Chair. NAACL 2015-16.
  • Area Chair. ACL 2012, EMNLP 2009.
  • Best paper committee. EACL 2012, EMNLP 2017.
  • Program Chair. Fourth International Workshop On Crosslingual Information Access 2010.
  • Reviewer. Computational Linguistics, Journal of AI Research, Journal of Language Modeling, Natural Language Engineering. Since 2009.
  • Reviewer. ACL, COLING, CoNLL, EACL, EMNLP, ESSLLI, ICLR, IJCAI, IJCNLP, MT Summit, NAACL, NIPS, TACL, TAG+, various workshops. Since 2006.

University and department

  • Deputy director. Center for Doctoral Training in Data Science, University of Edinburgh School of Informatics. Since 2017.
  • Postgraduate selector. Institute for Language, Cognition, and Computation. Since 2016.
  • Undergraduate admissions officer. University of Edinburgh School of Informatics. 2015–17.
  • Executive committee. Center for Doctoral Training in Data Science, University of Edinburgh School of Informatics. Since 2016.
  • Academic steering committee. Center for Doctoral Training in Data Science, University of Edinburgh School of Informatics. Since 2015.
  • Organizer. NAACL Summer School in Human Language Technology. 2012.
  • Organizer. CLSP Seminar Series. 2012–2014.

Government

  • Reviewer. Netherlands Organisation for Scientific Research. 2016.
  • Grant evaluator. European Commission, Horizon 2020 Future and Emerging Technologies program (Open track). 2016.

Engineering Positions

  • Software Engineer. 1997–1999. IBM.