Graham Neubig
Assistant Professor, Language Technology Institute, Carnegie Mellon University
Affiliated Faculty, Machine Learning Department, Carnegie Mellon University
My research is concerned with language and its role in human communication. In particular, my long-term research goal is to break down barriers in human-human or human-machine communication through the development of natural language processing (NLP) technologies. This includes the development of technology for machine translation, which helps break down barriers in communication for people who speak different languages, and natural language understanding, which helps computers understand and respond to human language. Within this overall goal of breaking down barriers to human communication, I have focused on several aspects of language that both make it interesting as a scientific subject, and hold potential for the construction of practical systems. Specific areas of interest include:
- Machine Translation and Multi-lingual Natural Language Processing
- Semantic Parsing and Code Generation from Natural Language
- Human-in-the-loop Machine Learning Systems
- Machine Learning Models and Computational Infrastructure for NLP
Academic/Career History
- 9/2016-onward Carnegie Mellon University (CMU): Assistant Professor
- 4/2012-8/2016 Nara Institute of Science and Technology (NAIST): Assistant Professor
- 4/2010-3/2012 Kyoto University: Doctoral course in Intelligent Information Systems
- 4/2008-3/2010 Kyoto University: Master's course in Intelligent Information Systems
- 8/2006-3/2008 Hyogo Prefectural Government: Coordinator for International Relations
- 9/2005-7/2006 Tajima Agricultural High School: Assistant Language Teacher
- 8/2001-5/2005 University of Illinois, Urbana-Champaign: B.S. Computer Science
Papers
Here is a list of a few of my current favorite papers:
- Matthias Sperber, Graham Neubig, Jan Niehues, Alex Waibel.
Attention-Passing Models for Robust and Data-Efficient End-to-End Speech Translation (BibTex)
Transactions of the Association for Computational Linguistics. 2019 (To Appear). - Jeremy Lacomis, Pengcheng Yin, Edward J. Schwartz, Miltiadis Allamanis, Claire Le Goues, Graham Neubig, Bogdan Vasilescu.
DIRE: A Neural Approach to Decompiled Identifier Renaming (BibTex)
34th IEEE/ACM International Conference on Automated Software Engineering (ASE). San Diego, California. November 2019 (To Appear). - Aditi Chaudhary, Jiateng Xie, Zaid Sheikh, Graham Neubig, Jaime Carbonell.
A Little Annotation does a Lot of Good: A Study in Bootstrapping Low-resource Named Entity Recognizers (BibTex)
Conference on Empirical Methods in Natural Language Processing (EMNLP). Hong Kong. November 2019 (To Appear). - Chunting Zhou, Xuezhe Ma, Junjie Hu, Graham Neubig.
Handling Syntactic Divergence in Low-resource Machine Translation (BibTex)
Conference on Empirical Methods in Natural Language Processing (EMNLP). Hong Kong. November 2019 (To Appear). - Xuezhe Ma, Chunting Zhou, Xian Li, Graham Neubig, Eduard Hovy.
FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow (BibTex)
Conference on Empirical Methods in Natural Language Processing (EMNLP). Hong Kong. November 2019 (To Appear).
All of my publications can be found on my publications page, and my most highly cited papers can be found on Google Scholar.
Other Links
- Slides for tutorials and classes can be found on my teaching page
- Software and resources that I've developed can be found on my software page.
- Tools for Natural Language Processing
- The Kyoto Free Translation Task: A task that can be used for evaluation of English-Japanese translation systems
- Japanese Parallel Data: A list of various data that can be used to create machine translation systms to/from Japanese