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Contact
Research Interests
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Parsing techniques and complexity for various linguistic formalisms
- Dependency structures primarily (see MSTParser)
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Information extraction
- Opinion extraction and summarization
- Biomedical IE (see BioTagger
used in FABLE)
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Algorithms for natural language processing
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Domain adaptation algorithms
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Machine learning in NLP
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Organizations of interest:
ACL,
SIGDAT,
SIGNLL,
SIGPARSE,
NIPS
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CV [PDF]
Recent Activities
Software
Note: I try to answer emails about my software, in particular for MSTParser. However,
time constraints limit the amount of requests I can manage.
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Implementation of parsers described in ACL and HLT-EMNLP '05 papers.
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General online structured learning package.
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Conditional Random Field Biomedical Entity Tagger (Genes, Variations and
Malignancies). This tagger (or variants of it) form part of the core technology of the following resources:
- FABLE biomedical literature search engine
- PlasmoDB relevant literature search
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In the past/present I have been known to contribute to MALLET,
which is a general implementation of Conditional Random Fields
and other learning algorithms tailored specifically to language.
Andrew McCallum is
the primary writer and caretaker of the package
which is available
at http://mallet.cs.umass.edu
Teaching
Media
Some Links
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Publications
Thesis
2008
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A Joint Model of Text and Aspect Ratings for Sentiment Summarization
I. Titov and R. McDonald
Association for Computational Linguistics (ACL), 2008.
[PDF]
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Integrating Graph-based and Transition-based Dependency Parsers
J. Nivre and R. McDonald
Association for Computational Linguistics (ACL), 2008.
[PDF]
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Building a Sentiment Summarizer for Local Service Reviews
S. Blair-Goldensohn, K. Hannan, R. McDonald, T. Neylon, G. Reis, and J. Reynar
WWW Workshop on NLP in the Information Explosion Era (NLPIX), 2008.
[PDF]
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Modeling Online Reviews with Multi-Grain Topic Models
I. Titov and R. McDonald
International World Wide Web Conference (WWW), 2008.
[PDF]
2007
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The CoNLL 2007 Shared Task on Dependency Parsing
J. Nivre, J. Hall, S. Kubler, R. McDonald, J. Nilsson, S. Riedel, and D. Yuret
Empirical Methods in Natural Language Processing and Natural Language Learning (EMNLP-CoNLL), 2007.
[PDF]
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Characterizing the Errors of Data-Driven Dependency Parsing Models
R. McDonald and J. Nivre
Empirical Methods in Natural Language Processing and Natural Language Learning (EMNLP-CoNLL), 2007.
[PDF]
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On the Complexity of Non-Projective Data-Driven Dependency Parsing
R. McDonald and G. Satta
International Conference on Parsing Technologies (IWPT), 2007.
[PDF]
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Structured Models for Fine-to-Coarse Sentiment Analysis
R. McDonald, K. Hannan, T. Neylon, M. Wells, and J. Reynar
Association for Computational Linguistics (ACL), 2007
[PDF]
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A Study of Global Inference Algorithms in Multi-Document Summarization
R. McDonald
European Conference on Information Retrieval (ECIR), 2007
[PDF]
2006
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Automated recognition of malignancy mentions in biomedical literature
Y. Jin, R. McDonald, K. Lerman, M. Mandel, S. Carroll, M. Liberman, F. Pereira, R. S. Winters and P. S. White
BMC Bioinformatics 2006, 7:492
[PDF]
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Domain Adaptation with Structural Correspondence Learning
J. Blitzer and R. McDonald and F. Pereira
Empirical Methods in Natural Language Processing (EMNLP), 2006
[PDF]
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Multilingual Dependency Analysis with a Two-Stage
Discriminative Parser
R. McDonald and K. Lerman and F. Pereira
Conference on Natural Language Learning (CoNLL), 2006
[PDF]
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An automated procedure to identify biomedical articles that contain cancer-associated gene variants
Ryan McDonald, R. Scott Winters, Claire K. Ankuda, Joan A. Murphy, Amy
E. Rogers, Fernando Pereira, Marc S. Greenblatt, Peter S. White
Human Mutation, Volume 27 Issue 9, 2006
[PDF]
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Online Learning of Approximate Dependency Parsing Algorithms
R. McDonald and F. Pereira
European Association for Computational Linguistics (EACL), 2006
[PDF]
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Discriminative Sentence Compression with Soft Syntactic Constraints
R. McDonald
European Association for Computational Linguistics (EACL), 2006
[PDF]
2005
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Non-Projective Dependency Parsing using Spanning Tree Algorithms
R. McDonald, F. Pereira, K. Ribarov and J. Hajic
Human Language Technologies and Empirical Methods in Natural Language Processing (HLT-EMNLP), 2005
[Best Student Paper Award]
[PDF]
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Flexible Text Segmentation with Structured Multilabel Classification
R. McDonald, K. Crammer and F. Pereira
Human Language Technologies and Empirical Methods in Natural Language Processing (HLT-EMNLP), 2005
[PDF]
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Simple Algorithms for Complex Relation Extraction
with Applications to Biomedical IE
R. McDonald, F. Pereira, S. Kulick, S. Winters, Y. Jin and P. White
Association for Computational Linguistics (ACL), 2005
[PDF]
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Online Large-Margin Training of Dependency Parsers
Ryan McDonald, Koby Crammer and Fernando Pereira
Association for Computational Linguistics (ACL), 2005
[PDF], or a more detailed and updated
Tech Report
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Identifying and Extracting Malignancy Types in
Cancer Literature
Y. Jin, R. McDonald, K. Lerman, M. Mandel, M. Liberman, F. Pereira,
R.S. Winters and P.S. White
Linking Literature, Information and Knowledge for Biology (BioLink), 2005
[PDF]
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Automatically annotating documents with normalized gene lists
Jay Crim, Ryan McDonald and Fernando Pereira
BMC Bioinformatics 2005, 6(Suppl 1):S13
[PDF]
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Identifying gene and protein mentions in text using conditional random fields
Ryan McDonald and Fernando Pereira
BMC Bioinformatics 2005, 6(Suppl 1):S6
[PDF]
2004
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New Large Margin Algorithms for Structure Prediction
Koby Crammer, Ryan McDonald and Fernando Pereira
NIPS Workshop on Learning With Structured Outputs, 2004
Available upon request.
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Scalable Large Margin Online Learning Algorithms for Structured Classification
Ryan McDonald, Koby Crammer and Fernando Pereira
NIPS Workshop on Learning With Structured Outputs, 2004
Available upon request.
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An entity tagger for recognizing acquired genomic
variations in cancer literature
R. McDonald, R.S. Winters, M. Mandel, Y. Jin, P.S. White and F. Pereira
Journal of Bioinformatics, 2004.
[PDF]
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Integrated Annotation for Biomedical Information Extraction
S. Kulick, A. Bies, M. Liberman, M. Mandel, R. McDonald, M. Palmer,
A. Schein, L. Ungar, S. Winters and P. White
Linking Biological Literature, Ontologies and Databases (BioLink), 2004
[PDF]
Before 2004
Tech Reports, Non-Refereed Publications
and Unpublished Material
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Spanning Tree Methods for Discriminative Training
of Dependency Parsers
Ryan McDonald, Koby Crammer and Fernando Pereira
UPenn CIS Technical Report: MS-CIS-05-11
[PDF]
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Extracting Relations from Unstructured Text
Ryan McDonald
My WPEII review paper for admission to PhD candidacy, 2004.
UPenn CIS Technical Report: MS-CIS-05-06
[PDF]
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Automatically Annotating Documents with Normalized Gene Lists
Jay Crim, Ryan McDonald and Fernando Pereira
A critical assessment of text mining methods in molecular biology, BioCreative, 2004
[PDF]
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Identifying Gene and Protein Mentions in Text Using
Conditional Random Fields
Ryan McDonald and Fernando Pereira
A critical assessment of text mining methods in molecular biology, BioCreative, 2004
[PDF]
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A Distributed Social MUD to Enhance Reliability and Scalability
Ryan McDonald and Nick Montfort, 2003.
Unpublished
[PDF]
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