Joakim Nivre mainly investigates Parsing, Artificial intelligence, Natural language processing, Dependency grammar and Computational linguistics. The various areas that Joakim Nivre examines in his Parsing study include Algorithm and Theoretical computer science. His research in Artificial intelligence intersects with topics in Contrastive linguistics, Applied linguistics, Phrase structure rules and Morphology.
His Natural language processing research is multidisciplinary, relying on both Dependency, Annotation and Speech recognition. Joakim Nivre has included themes like Data-driven, Graph and Grammar in his Dependency grammar study. His Computational linguistics research incorporates elements of Quantitative linguistics and Syntax.
Joakim Nivre mainly focuses on Artificial intelligence, Natural language processing, Parsing, Computational linguistics and Dependency grammar. His Artificial intelligence study frequently involves adjacent topics like Programming language. His study in Natural language processing is interdisciplinary in nature, drawing from both Linguistics and Speech recognition.
His study ties his expertise on Theoretical computer science together with the subject of Parsing. His work deals with themes such as German, Quantitative linguistics, Set, Verb and Phrase, which intersect with Computational linguistics. His Dependency grammar study combines topics from a wide range of disciplines, such as Graph, Algorithm, Machine learning and Word.
Joakim Nivre focuses on Artificial intelligence, Natural language processing, Parsing, Universal dependencies and Computational linguistics. Dependency, Treebank, Dependency grammar, Annotation and Word are the primary areas of interest in his Artificial intelligence study. His work in Dependency grammar addresses subjects such as Pattern recognition, which are connected to disciplines such as Tree structure.
Joakim Nivre combines subjects such as Syntax, Transformer and Text segmentation with his study of Natural language processing. Joakim Nivre works mostly in the field of Parsing, limiting it down to concerns involving Sentence and, occasionally, Graph. His biological study spans a wide range of topics, including Artificial neural network, Lexical analysis, Rhetorical question and Chiasmus.
His scientific interests lie mostly in Artificial intelligence, Natural language processing, Computational linguistics, Dependency and Parsing. His work in the fields of Artificial intelligence, such as Treebank, Annotation and Character, overlaps with other areas such as Low resource. The concepts of his Natural language processing study are interwoven with issues in Transformer and Text segmentation.
His Computational linguistics study combines topics in areas such as Artificial neural network, Word, Theoretical computer science and Machine translation. His Dependency research includes elements of Scheme and Natural language. His research integrates issues of Sentence and Pipeline in his study of Parsing.
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MaltParser: A language-independent system for data-driven dependency parsing
Joakim Nivre;Johan Hall;Jens Nilsson;Atanas Chanev.
Natural Language Engineering (2005)
An efficient algorithm for projective dependency parsing
international workshop/conference on parsing technologies (2003)
The CoNLL 2007 Shared Task on Dependency Parsing
Joakim Nivre;Johan Hall;Sandra K"ubler;Ryan McDonald.
empirical methods in natural language processing (2007)
Universal Dependencies v1: A Multilingual Treebank Collection
Joakim Nivre;Marie-Catherine de Marneffe;Filip Ginter;Yoav Goldberg.
language resources and evaluation (2016)
MaltParser: A Data-Driven Parser-Generator for Dependency Parsing
Joakim Nivre;Johan Hall;Jens Nilsson.
language resources and evaluation (2006)
Sandra Kubler;Ryan McDonald;Joakim Nivre;Graeme Hirst.
The CoNLL-2009 Shared Task: Syntactic and Semantic Dependencies in Multiple Languages
Jan Hajiċ;Massimiliano Ciaramita;Richard Johansson;Daisuke Kawahara.
conference on computational natural language learning (2009)
The CoNLL 2008 Shared Task on Joint Parsing of Syntactic and Semantic Dependencies
Mihai Surdeanu;Richard Johansson;Adam Meyers;Lluís Màrquez.
conference on computational natural language learning (2008)
On the Semantics and Pragmatics of Linguistic Feedback
Jens Allwood;Joakim Nivre;Elisabeth Ahlsén.
Journal of Semantics (1992)
Universal Dependency Annotation for Multilingual Parsing
Ryan McDonald;Joakim Nivre;Yvonne Quirmbach-Brundage;Yoav Goldberg.
meeting of the association for computational linguistics (2013)
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