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Contrastive summarization: An experiment with consumer reviews, Kevin Lerman, Ryan McDonald, North American Association for Computational Linguistics, 2009.
Dependency Parsing, Sandra Kubler, Ryan McDonald, Joakim Nivre, 2009.
Efficient Large-Scale Distributed Training of Conditional Maximum Entropy Models, Gideon Mann, Ryan McDonald, Mehryar Mohri, Nathan Silberman, Daniel Walker IV, Neural Information Processing Systems (NIPS), 2009.
Sentiment Summarization: Evaluating and Learning User Preferences, Kevin Lerman, Sasha Blair-Goldensohn, Ryan McDonald, European Association for Computational Linguistics, 2009.
A Joint Model of Text and Aspect Ratings for Sentiment Summarization, Ivan Titov, Ryan McDonald, Association for Computational Linguistics, 2008.
Building a Sentiment Summarizer for Local Service Reviews, Sasha Blair-Goldensohn, Kerry Hannan, Ryan McDonald, Tyler Neylon, George Reis, Jeff Reynar, WWW Workshop on NLP Challenges in the Information Explosion Era (NLPIX), 2008.
Integrating Graph-based and Transition-based Dependency Parsers, Joakim Nivre, Ryan McDonald, Association for Computational Linguistics, 2008.
Modeling Online Reviews with Multi-Grain Topic Models, Ivan Titov, Ryan McDonald, 17th International World Wide Web Conference, 2008.
A Study of Global Inference Algorithms in Multi-Document Summarization, Ryan McDonald, European Conference on Information Retrieval (ECIR), 2007.
Characterizing the Errors of Data-Driven Dependency Parsers, Ryan McDonald, Joakim Nivre, Empirical Methods in Natural Language Processing, 2007.
On the Complexity of Non-Projective Data-Driven Dependency Parsing, Ryan McDonald, Giorgio Satta, International Conference on Parsing Technologies, 2007, pp. 121-132.
Structured Models for Fine-to-Coarse Sentiment Analysis, Ryan McDonald, Kerry Hannan, Tyler Neylon, Mike Wells, Jeff Reynar, 45th Annual Meeting of the Association for Computational Linguistics (ACL 2007).
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, vol. 27 (2006), pp. 957-64.
Automated recognition of malignancy mentions in biomedical literature, Yang Jin, Ryan T. McDonald, Kevin Lerman, Mark A. Mandel, Steven Carroll, Mark Y. Liberman, Fernando C. Pereira, Raymond S. Winters, Peter S. White, BMC Bioinformatics, vol. 7 (2006), pp. 492.
Discriminative Sentence Compression with Soft Syntactic Constraints, Ryan McDonald, Proceedings of EACL, 2006.
Domain Adaptation with Structural Correspondence Learning, John Blitzer, Ryan McDonald, Fernando Pereira, EMNLP 2006: 2006 Conference on Empirical Methods in Natural Language Processing, pp. 120-128.
Multilingual Dependency Parsing with a Two-Stage Discriminative Parser, Ryan McDonald, Kevin Lerman, Fernando Pereira, Tenth Conference on Computational Natural Language Learning (CoNLL-X), 2006.
Online Learning of Approximate Dependency Parsing Algorithms, Ryan McDonald, Fernando Pereira, 11th Conference of the European Chapter of the Association for Computational Linguistics: EACL 2006, pp. 81-88.
Online Learning of Approximate Dependency Parsing Algorithms, Ryan McDonald, Fernando Pereira, Proceedings of EACL, 2006.
Automatically annotating documents with normalized gene lists, Jeremiah Crim, Ryan McDonald, Fernando Pereira, BMC Bioinformatics (2005).
Flexible Text Segmentation with Structured Multilabel Classification, Ryan McDonald, Koby Crammer, Fernando Pereira, Proceedings of HLT-EMNLP, 2005.
Identifying gene and protein mentions in text using conditional random fields, Ryan McDonald, Fernando Pereira, BMC Bioinformatics (2005).
Non-Projective Dependency Parsing using Spanning Tree Algorithms, Ryan T. McDonald, Fernando Pereira, Kiril Ribarov, Jan Hajic, HLT/EMNLP, 2005.
Non-Projective Dependency Parsing using Spanning Tree Algorithms, Ryan McDonald, Fernando Pereira, Kiril Ribarov, Jan Hajic, Proceedings of HLT-EMNLP, 2005.
Online Large-Margin Training of Dependency Parsers, Ryan McDonald, Koby Crammer, Fernando Pereira, 43rd Annual Meeting of the Association for Computational Linguistics (ACL 2005).
Online Large-Margin Training of Dependency Parsers, Ryan McDonald, Koby Crammer, Fernando Pereira, Proceedings of ACL, 2005.
Simple Algorithms for Complex Relation Extraction with Applications to Biomedical IE, Ryan McDonald, Seth Kulick, Fernando Pereira, Scott Winters, Yang Jin, Pete White, Proceedings of ACL, 2005.
Simple Algorithms for Complex Relation Extraction with Applications to Biomedical IE, Ryan McDonald, Fernando Pereira, Seth Kulick, Scott Winters, Yang Jin, Pete White, 43rd Annual Meeting of the Association for Computational Linguistics (ACL 2005).
An entity tagger for recognizing acquired genomic variations in cancer literature, Ryan McDonald, Scott Winters, Mark Mandel, Yang Jin, Pete White, Fernando Pereira, Bioinformatics (2004).
Integrated Annotation for Biomedical Information Extraction, Seth Kulick, Anne Bies, Mark Liberman, Mark Mandel, Ryan McDonald, Martha Palmer, Andrew Schein, Lyle Ungar, Scott Winters, Pete White, Proceedings of BioLink, 2004.
Flexible Web Document Analysis for Delivery to Narrow-Bandwidth Devices, Gerald Penn, Jianying Hu, Hengbin Luo, Ryan McDonald, Proceedings if ICDAR, 2001.