• Publications
  • Influence
The CoNLL 2007 Shared Task on Dependency Parsing
The Conference on Computational Natural Language Learning features a shared task, in which participants train and test their learning systems on the same data sets. In 2007, as in 2006, the sharedExpand
  • 731
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Universal Dependencies v1: A Multilingual Treebank Collection
Cross-linguistically consistent annotation is necessary for sound comparative evaluation and cross-lingual learning experiments. It is also useful for multilingual system development and comparativeExpand
  • 754
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MaltParser: A Language-Independent System for Data-Driven Dependency Parsing
Parsing unrestricted text is useful for many language technology applications but requires parsing methods that are both robust and efficient. MaltParser is a language-independent system forExpand
  • 616
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MaltParser: A Data-Driven Parser-Generator for Dependency Parsing
We introduce MaltParser, a data-driven parser generator for dependency parsing. Given a treebank in dependency format, MaltParser can be used to induce a parser for the language of the treebank. MaExpand
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The CoNLL 2008 Shared Task on Joint Parsing of Syntactic and Semantic Dependencies
The Conference on Computational Natural Language Learning is accompanied every year by a shared task whose purpose is to promote natural language processing applications and evaluate them in aExpand
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Universal Dependency Annotation for Multilingual Parsing
We present a new collection of treebanks with homogeneous syntactic dependency annotation for six languages: German, English, Swedish, Spanish, French and Korean. To show the usefulness of such aExpand
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An Efficient Algorithm for Projective Dependency Parsing
This paper presents a deterministic parsing algorithm for projective dependency grammar. The running time of the algorithm is linear in the length of the input string, and the dependency graphExpand
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Algorithms for Deterministic Incremental Dependency Parsing
  • Joakim Nivre
  • Computer Science
  • Computational Linguistics
  • 1 December 2008
Parsing algorithms that process the input from left to right and construct a single derivation have often been considered inadequate for natural language parsing because of the massive ambiguityExpand
  • 417
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The CoNLL-2009 Shared Task: Syntactic and Semantic Dependencies in Multiple Languages
For the 11th straight year, the Conference on Computational Natural Language Learning has been accompanied by a shared task whose purpose is to promote natural language processing applications andExpand
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Labeled Pseudo-Projective Dependency Parsing with Support Vector Machines
We use SVM classifiers to predict the next action of a deterministic parser that builds labeled projective dependency graphs in an incremental fashion. Non-projective dependencies are capturedExpand
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