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Ryan T. McDonald
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- affiliation: Google Research
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2020 – today
- 2022
- [c54]Alex Murphy
, Bernd Bohnet, Ryan T. McDonald, Uta Noppeney:
Decoding Part-of-Speech from Human EEG Signals. ACL (1) 2022: 2201-2210 - 2021
- [j9]Shashi Narayan, Yao Zhao, Joshua Maynez, Gonçalo Simões, Vitaly Nikolaev, Ryan T. McDonald:
Planning with Learned Entity Prompts for Abstractive Summarization. Trans. Assoc. Comput. Linguistics 9: 1475-1492 (2021) - [c53]Rahul Aralikatte, Shashi Narayan, Joshua Maynez, Sascha Rothe, Ryan T. McDonald:
Focus Attention: Promoting Faithfulness and Diversity in Summarization. ACL/IJCNLP (1) 2021: 6078-6095 - [c52]Ji Ma, Ivan Korotkov, Yinfei Yang, Keith B. Hall, Ryan T. McDonald:
Zero-shot Neural Passage Retrieval via Domain-targeted Synthetic Question Generation. EACL 2021: 1075-1088 - [i18]Shashi Narayan, Yao Zhao, Joshua Maynez, Gonçalo Simões, Ryan T. McDonald:
Planning with Entity Chains for Abstractive Summarization. CoRR abs/2104.07606 (2021) - [i17]Rahul Aralikatte, Shashi Narayan, Joshua Maynez, Sascha Rothe, Ryan T. McDonald:
Focus Attention: Promoting Faithfulness and Diversity in Summarization. CoRR abs/2105.11921 (2021) - 2020
- [c51]Joshua Maynez, Shashi Narayan, Bernd Bohnet, Ryan T. McDonald:
On Faithfulness and Factuality in Abstractive Summarization. ACL 2020: 1906-1919 - [c50]Dimitris Pappas
BioMRC: A Dataset for Biomedical Machine Reading Comprehension. BioNLP 2020: 140-149 - [c49]Ji Ma, Ivan Korotkov, Keith B. Hall, Ryan T. McDonald:
Hybrid First-stage Retrieval Models for Biomedical Literature. CLEF (Working Notes) 2020 - [c48]Shashi Narayan, Joshua Maynez, Jakub Adámek, Daniele Pighin, Blaz Bratanic, Ryan T. McDonald:
Stepwise Extractive Summarization and Planning with Structured Transformers. EMNLP (1) 2020: 4143-4159 - [i16]Shashi Narayan, Gonçalo Simões, Ji Ma, Hannah Craighead, Ryan T. McDonald:
QURIOUS: Question Generation Pretraining for Text Generation. CoRR abs/2004.11026 (2020) - [i15]Ji Ma, Ivan Korotkov, Yinfei Yang, Keith B. Hall, Ryan T. McDonald:
Zero-shot Neural Retrieval via Domain-targeted Synthetic Query Generation. CoRR abs/2004.14503 (2020) - [i14]Joshua Maynez, Shashi Narayan, Bernd Bohnet, Ryan T. McDonald:
On Faithfulness and Factuality in Abstractive Summarization. CoRR abs/2005.00661 (2020) - [i13]Petros Stavropoulos, Dimitris Pappas, Ion Androutsopoulos, Ryan T. McDonald:
BIOMRC: A Dataset for Biomedical Machine Reading Comprehension. CoRR abs/2005.06376 (2020) - [i12]Michael Bendersky, Honglei Zhuang, Ji Ma, Shuguang Han, Keith B. Hall, Ryan T. McDonald:
RRF102: Meeting the TREC-COVID Challenge with a 100+ Runs Ensemble. CoRR abs/2010.00200 (2020) - [i11]Shashi Narayan, Joshua Maynez, Jakub Adámek, Daniele Pighin, Blaz Bratanic, Ryan T. McDonald:
Stepwise Extractive Summarization and Planning with Structured Transformers. CoRR abs/2010.02744 (2020)
2010 – 2019
- 2019
- [c47]Sotiris Kotitsas, Dimitris Pappas
Embedding Biomedical Ontologies by Jointly Encoding Network Structure and Textual Node Descriptors. BioNLP@ACL 2019: 298-308 - [c46]Dimitris Pappas
AUEB at BioASQ 7: Document and Snippet Retrieval. PKDD/ECML Workshops (2) 2019: 607-623 - [c45]Stefan Hosein, Daniel Andor, Ryan T. McDonald:
Measuring Domain Portability and Error Propagation in Biomedical QA. PKDD/ECML Workshops (2) 2019: 686-694 - [i10]Sotiris Kotitsas, Dimitris Pappas, Ion Androutsopoulos, Ryan T. McDonald, Marianna Apidianaki:
Embedding Biomedical Ontologies by Jointly Encoding Network Structure and Textual Node Descriptors. CoRR abs/1906.05939 (2019) - [i9]Stefan Hosein, Daniel Andor, Ryan T. McDonald:
Measuring Domain Portability and ErrorPropagation in Biomedical QA. CoRR abs/1909.09704 (2019) - 2018
- [c44]Bernd Bohnet, Ryan T. McDonald, Gonçalo Simões, Daniel Andor, Emily Pitler, Joshua Maynez:
Morphosyntactic Tagging with a Meta-BiLSTM Model over Context Sensitive Token Encodings. ACL (1) 2018: 2642-2652 - [c43]Ryan T. McDonald, George Brokos, Ion Androutsopoulos:
Deep Relevance Ranking using Enhanced Document-Query Interactions. EMNLP 2018: 1849-1860 - [i8]Bernd Bohnet, Ryan T. McDonald, Gonçalo Simões, Daniel Andor, Emily Pitler, Joshua Maynez:
Morphosyntactic Tagging with a Meta-BiLSTM Model over Context Sensitive Token Encodings. CoRR abs/1805.08237 (2018) - [i7]Ryan T. McDonald, Georgios-Ioannis Brokos, Ion Androutsopoulos:
Deep Relevance Ranking Using Enhanced Document-Query Interactions. CoRR abs/1809.01682 (2018) - [i6]Georgios-Ioannis Brokos, Polyvios Liosis, Ryan T. McDonald, Dimitris Pappas, Ion Androutsopoulos:
AUEB at BioASQ 6: Document and Snippet Retrieval. CoRR abs/1809.06366 (2018) - 2017
- [c42]Jan A. Botha, Emily Pitler, Ji Ma, Anton Bakalov, Alex Salcianu, David Weiss, Ryan T. McDonald, Slav Petrov:
Natural Language Processing with Small Feed-Forward Networks. EMNLP 2017: 2879-2885 - [i5]Jan A. Botha, Emily Pitler, Ji Ma, Anton Bakalov, Alex Salcianu, David Weiss, Ryan T. McDonald, Slav Petrov:
Natural Language Processing with Small Feed-Forward Networks. CoRR abs/1708.00214 (2017) - 2016
- [j8]Manaal Faruqui, Ryan T. McDonald, Radu Soricut:
Morpho-syntactic Lexicon Generation Using Graph-based Semi-supervised Learning. Trans. Assoc. Comput. Linguistics 4: 1-16 (2016) - [c41]Bernd Bohnet, Ryan T. McDonald, Emily Pitler, Ji Ma:
Generalized Transition-based Dependency Parsing via Control Parameters. ACL (1) 2016 - [c40]Joakim Nivre, Marie-Catherine de Marneffe, Filip Ginter, Yoav Goldberg, Jan Hajic, Christopher D. Manning, Ryan T. McDonald, Slav Petrov, Sampo Pyysalo, Natalia Silveira, Reut Tsarfaty, Daniel Zeman:
Universal Dependencies v1: A Multilingual Treebank Collection. LREC 2016 - [i4]Bernd Bohnet, Miguel Ballesteros, Ryan T. McDonald, Joakim Nivre:
Static and Dynamic Feature Selection in Morphosyntactic Analyzers. CoRR abs/1603.06503 (2016) - 2015
- [c39]Emily Pitler, Ryan T. McDonald:
A Linear-Time Transition System for Crossing Interval Trees. HLT-NAACL 2015: 662-671 - [i3]Manaal Faruqui, Ryan T. McDonald, Radu Soricut:
Morpho-syntactic Lexicon Generation Using Graph-based Semi-supervised Learning. CoRR abs/1512.05030 (2015) - 2014
- [j7]Joakim Nivre, Yoav Goldberg, Ryan T. McDonald:
Constrained Arc-Eager Dependency Parsing. Comput. Linguistics 40(2): 249-527 (2014) - [c38]Hao Zhang, Ryan T. McDonald:
Enforcing Structural Diversity in Cube-pruned Dependency Parsing. ACL (2) 2014: 656-661 - [c37]Barbara Plank, Dirk Hovy, Ryan T. McDonald, Anders Søgaard:
Adapting taggers to Twitter with not-so-distant supervision. COLING 2014: 1783-1792 - 2013
- [j6]Oscar Täckström, Dipanjan Das, Slav Petrov, Ryan T. McDonald, Joakim Nivre:
Token and Type Constraints for Cross-Lingual Part-of-Speech Tagging. Trans. Assoc. Comput. Linguistics 1: 1-12 (2013) - [c36]Ryan T. McDonald, Joakim Nivre, Yvonne Quirmbach-Brundage, Yoav Goldberg, Dipanjan Das, Kuzman Ganchev, Keith B. Hall, Slav Petrov, Hao Zhang, Oscar Täckström, Claudia Bedini, Núria Bertomeu Castelló, Jungmee Lee:
Universal Dependency Annotation for Multilingual Parsing. ACL (2) 2013: 92-97 - [c35]Hao Zhang, Liang Huang, Kai Zhao, Ryan T. McDonald:
Online Learning for Inexact Hypergraph Search. EMNLP 2013: 908-913 - [c34]Oscar Täckström, Ryan T. McDonald, Joakim Nivre:
Target Language Adaptation of Discriminative Transfer Parsers. HLT-NAACL 2013: 1061-1071 - 2012
- [c33]Kuzman Ganchev, Keith B. Hall, Ryan T. McDonald, Slav Petrov:
Using Search-Logs to Improve Query Tagging. ACL (2) 2012: 238-242 - [c32]Hao Zhang, Ryan T. McDonald:
Generalized Higher-Order Dependency Parsing with Cube Pruning. EMNLP-CoNLL 2012: 320-331 - [c31]Slav Petrov, Dipanjan Das, Ryan T. McDonald:
A Universal Part-of-Speech Tagset. LREC 2012: 2089-2096 - [c30]Oscar Täckström, Ryan T. McDonald, Jakob Uszkoreit:
Cross-lingual Word Clusters for Direct Transfer of Linguistic Structure. HLT-NAACL 2012: 477-487 - 2011
- [j5]Ryan T. McDonald, Joakim Nivre:
Analyzing and Integrating Dependency Parsers. Comput. Linguistics 37(1): 197-230 (2011) - [c29]Oscar Täckström, Ryan T. McDonald:
Semi-supervised latent variable models for sentence-level sentiment analysis. ACL (2) 2011: 569-574 - [c28]Oscar Täckström, Ryan T. McDonald:
Discovering Fine-Grained Sentiment with Latent Variable Structured Prediction Models. ECIR 2011: 368-374 - [c27]Ryan T. McDonald, Slav Petrov, Keith B. Hall:
Multi-Source Transfer of Delexicalized Dependency Parsers. EMNLP 2011: 62-72 - [c26]Jason Katz-Brown, Slav Petrov, Ryan T. McDonald, Franz Josef Och, David Talbot, Hiroshi Ichikawa, Masakazu Seno, Hideto Kazawa:
Training a Parser for Machine Translation Reordering. EMNLP 2011: 183-192 - [c25]Keith B. Hall, Ryan T. McDonald, Jason Katz-Brown, Michael Ringgaard:
Training dependency parsers by jointly optimizing multiple objectives. EMNLP 2011: 1489-1499 - [i2]Slav Petrov, Dipanjan Das, Ryan T. McDonald:
A Universal Part-of-Speech Tagset. CoRR abs/1104.2086 (2011) - 2010
- [c24]Isaac G. Councill, Ryan T. McDonald, Leonid Velikovich:
What's great and what's not: learning to classify the scope of negation for improved sentiment analysis. NeSp-NLP@ACL 2010: 51-59 - [c23]Joakim Nivre, Laura Rimell, Ryan T. McDonald, Carlos Gómez-Rodríguez:
Evaluation of Dependency Parsers on Unbounded Dependencies. COLING 2010: 833-841 - [c22]Ryan T. McDonald, Keith B. Hall, Gideon Mann:
Distributed Training Strategies for the Structured Perceptron. HLT-NAACL 2010: 456-464 - [c21]Leonid Velikovich, Sasha Blair-Goldensohn, Kerry Hannan, Ryan T. McDonald:
The viability of web-derived polarity lexicons. HLT-NAACL 2010: 777-785
2000 – 2009
- 2009
- [b1]Sandra Kübler, Ryan T. McDonald, Joakim Nivre:
Dependency Parsing. Synthesis Lectures on Human Language Technologies, Morgan & Claypool Publishers 2009, ISBN 978-3-031-01003-3 - [c20]Kevin Lerman, Sasha Blair-Goldensohn, Ryan T. McDonald:
Sentiment Summarization: Evaluating and Learning User Preferences. EACL 2009: 514-522 - [c19]Kevin Lerman, Ryan T. McDonald:
Contrastive Summarization: An Experiment with Consumer Reviews. HLT-NAACL (Short Papers) 2009: 113-116 - [c18]Gideon Mann, Ryan T. McDonald, Mehryar Mohri, Nathan Silberman, Dan Walker:
Efficient Large-Scale Distributed Training of Conditional Maximum Entropy Models. NIPS 2009: 1231-1239 - 2008
- [c17]Ivan Titov, Ryan T. McDonald:
A Joint Model of Text and Aspect Ratings for Sentiment Summarization. ACL 2008: 308-316 - [c16]Joakim Nivre, Ryan T. McDonald:
Integrating Graph-Based and Transition-Based Dependency Parsers. ACL 2008: 950-958 - [c15]Ivan Titov, Ryan T. McDonald:
Modeling online reviews with multi-grain topic models. WWW 2008: 111-120 - [i1]Ivan Titov, Ryan T. McDonald:
Modeling Online Reviews with Multi-grain Topic Models. CoRR abs/0801.1063 (2008) - 2007
- [c14]Ryan T. McDonald, Kerry Hannan, Tyler Neylon, Mike Wells, Jeffrey C. Reynar:
Structured Models for Fine-to-Coarse Sentiment Analysis. ACL 2007 - [c13]Ryan T. McDonald:
A Study of Global Inference Algorithms in Multi-document Summarization. ECIR 2007: 557-564 - [c12]Ryan T. McDonald, Joakim Nivre:
Characterizing the Errors of Data-Driven Dependency Parsing Models. EMNLP-CoNLL 2007: 122-131 - [c11]Joakim Nivre, Johan Hall, Sandra Kübler, Ryan T. McDonald, Jens Nilsson, Sebastian Riedel, Deniz Yuret:
The CoNLL 2007 Shared Task on Dependency Parsing. EMNLP-CoNLL 2007: 915-932 - [c10]Ryan T. McDonald, Giorgio Satta:
On the Complexity of Non-Projective Data-Driven Dependency Parsing. IWPT 2007: 121-132 - 2006
- [j4]Yang Jin, Ryan T. McDonald, Kevin Lerman, Mark A. Mandel, Steven Carroll, Mark Y. Liberman
Automated recognition of malignancy mentions in biomedical literature. BMC Bioinform. 7: 492 (2006) - [c9]Ryan T. McDonald, Kevin Lerman, Fernando C. N. Pereira:
Multilingual Dependency Analysis with a Two-Stage Discriminative Parser. CoNLL 2006: 216-220 - [c8]Ryan T. McDonald:
Discriminative Sentence Compression with Soft Syntactic Evidence. EACL 2006 - [c7]Ryan T. McDonald, Fernando C. N. Pereira:
Online Learning of Approximate Dependency Parsing Algorithms. EACL 2006 - [c6]John Blitzer, Ryan T. McDonald, Fernando Pereira:
Domain Adaptation with Structural Correspondence Learning. EMNLP 2006: 120-128 - 2005
- [j3]Jeremiah Crim, Ryan T. McDonald, Fernando Pereira:
Automatically annotating documents with normalized gene lists. BMC Bioinform. 6(S-1) (2005) - [j2]Ryan T. McDonald, Fernando Pereira:
Identifying gene and protein mentions in text using conditional random fields. BMC Bioinform. 6(S-1) (2005) - [c5]Ryan T. McDonald, Koby Crammer, Fernando C. N. Pereira:
Online Large-Margin Training of Dependency Parsers. ACL 2005: 91-98 - [c4]Ryan T. McDonald, Fernando C. N. Pereira, Seth Kulick, R. Scott Winters, Yang Jin, Peter S. White:
Simple Algorithms for Complex Relation Extraction with Applications to Biomedical IE. ACL 2005: 491-498 - [c3]Ryan T. McDonald, Fernando Pereira, Kiril Ribarov, Jan Hajic:
Non-Projective Dependency Parsing using Spanning Tree Algorithms. HLT/EMNLP 2005: 523-530 - [c2]Ryan T. McDonald, Koby Crammer, Fernando Pereira:
Flexible Text Segmentation with Structured Multilabel Classification. HLT/EMNLP 2005: 987-994 - 2004
- [j1]Ryan T. McDonald, R. Scott Winters, Mark A. Mandel, Yang Jin, Peter S. White, Fernando C. N. Pereira:
An entity tagger for recognizing acquired genomic variations in cancer literature. Bioinform. 20(17): 3249-3251 (2004) - 2001
- [c1]Gerald Penn
Flexible Web Document Analysis for Delivery to Narrow-Bandwidth Devices. ICDAR 2001: 1074-1078
Coauthor Index
Fernando Pereira 0003
aka: Fernando C. N. Pereira
aka: Fernando C. N. Pereira
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