Ryan McDonald focuses on Artificial intelligence, Natural language processing, Parsing, Dependency and Dependency grammar. His work on Statistical model and Joint as part of general Artificial intelligence research is frequently linked to Service, Product and Set, bridging the gap between disciplines. His Natural language processing research incorporates elements of Segmentation, Labeled data and Data mining.
In his work, S-attributed grammar is strongly intertwined with Machine learning, which is a subfield of Parsing. His work on Treebank as part of general Dependency research is often related to Transition, thus linking different fields of science. His Dependency grammar study integrates concerns from other disciplines, such as Top-down parsing, Bottom-up parsing, Algorithm and Parser combinator.
Ryan McDonald mainly investigates Artificial intelligence, Natural language processing, Parsing, Machine learning and Dependency grammar. His research on Artificial intelligence frequently links to adjacent areas such as Speech recognition. His Natural language processing research is multidisciplinary, incorporating perspectives in Annotation and Information retrieval.
The various areas that Ryan McDonald examines in his Parsing study include Algorithm, Data-driven and Discriminative model. He combines subjects such as Inference and Zero with his study of Machine learning. His Dependency grammar study integrates concerns from other disciplines, such as Margin, Theoretical computer science and Bottom-up parsing.
The scientist’s investigation covers issues in Artificial intelligence, Machine learning, Information retrieval, Natural language processing and Simple. His Artificial intelligence research incorporates elements of Machine reading and Comprehension. His work on Relevance as part of his general Machine learning study is frequently connected to Term, thereby bridging the divide between different branches of science.
His Information retrieval research is multidisciplinary, incorporating elements of Correctness and Measure. His Natural language processing research includes themes of Dependency and Syntax. Ryan McDonald combines subjects such as Propagation of uncertainty and Data set with his study of Question answering.
His primary scientific interests are in Machine learning, Artificial intelligence, Rank, Simple and Search engine. Ryan McDonald applies his multidisciplinary studies on Machine learning and Quality in his research. His Quality investigation overlaps with Term, Ranking, Relevance, Zero and Ranking.
Ryan McDonald integrates many fields, such as Rank and Relevance feedback, in his works. The various areas that Ryan McDonald examines in his Heuristics study include Machine reading, Comprehension and Task.
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Domain Adaptation with Structural Correspondence Learning
John Blitzer;Ryan McDonald;Fernando Pereira.
empirical methods in natural language processing (2006)
Universal Dependencies v1: A Multilingual Treebank Collection
Joakim Nivre;Marie-Catherine de Marneffe;Filip Ginter;Yoav Goldberg.
language resources and evaluation (2016)
Non-Projective Dependency Parsing using Spanning Tree Algorithms
Ryan McDonald;Fernando Pereira;Kiril Ribarov;Jan Hajic.
empirical methods in natural language processing (2005)
Online Large-Margin Training of Dependency Parsers
Ryan McDonald;Koby Crammer;Fernando Pereira.
meeting of the association for computational linguistics (2005)
Modeling online reviews with multi-grain topic models
Ivan Titov;Ryan McDonald.
the web conference (2008)
A Universal Part-of-Speech Tagset
Slav Petrov;Dipanjan Das;Ryan McDonald.
language resources and evaluation (2012)
The CoNLL 2007 Shared Task on Dependency Parsing
Joakim Nivre;Johan Hall;Sandra K"ubler;Ryan McDonald.
empirical methods in natural language processing (2007)
A Joint Model of Text and Aspect Ratings for Sentiment Summarization
Ivan Titov;Ryan McDonald.
meeting of the association for computational linguistics (2008)
Sandra Kubler;Ryan McDonald;Joakim Nivre;Graeme Hirst.
Online Learning of Approximate Dependency Parsing Algorithms.
Ryan T. McDonald;Fernando C. N. Pereira.
conference of the european chapter of the association for computational linguistics (2006)
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