Jens Nilsson


2010

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Comparing the Influence of Different Treebank Annotations on Dependency Parsing
Cristina Bosco | Simonetta Montemagni | Alessandro Mazzei | Vincenzo Lombardo | Felice Dell’Orletta | Alessandro Lenci | Leonardo Lesmo | Giuseppe Attardi | Maria Simi | Alberto Lavelli | Johan Hall | Jens Nilsson | Joakim Nivre
Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC'10)

As the interest of the NLP community grows to develop several treebanks also for languages other than English, we observe efforts towards evaluating the impact of different annotation strategies used to represent particular languages or with reference to particular tasks. This paper contributes to the debate on the influence of resources used for the training and development on the performance of parsing systems. It presents a comparative analysis of the results achieved by three different dependency parsers developed and tested with respect to two treebanks for the Italian language, namely TUT and ISST--TANL, which differ significantly at the level of both corpus composition and adopted dependency representations.

2009

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Parsing Formal Languages using Natural Language Parsing Techniques
Jens Nilsson | Welf Löwe | Johan Hall | Joakim Nivre
Proceedings of the 11th International Conference on Parsing Technologies (IWPT’09)

2008

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MaltEval: an Evaluation and Visualization Tool for Dependency Parsing
Jens Nilsson | Joakim Nivre
Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08)

This paper presents a freely available evaluation tool for dependency parsing: MaltEval (http://w3.msi.vxu.se/users/jni/malteval). It is flexible and extensible, and provides functionality for both quantitative evaluation and visualization of dependency structure. The quantitative evaluation is compatible with other standard evaluation software for dependency structure which does not produce visualization of dependency structure, and can output more details as well as new types of evaluation metrics. In addition, MaltEval has generic support for confusion matrices. It can also produce statistical significance tests when more than one parsed file is specified. The visualization module also has the ability to highlight discrepancies between the gold-standard files and the parsed files, and it comes with an easy to use GUI functionality to search in the dependency structure of the input files.

2007

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A Hybrid Constituency-Dependency Parser for Swedish
Johan Hall | Joakim Nivre | Jens Nilsson
Proceedings of the 16th Nordic Conference of Computational Linguistics (NODALIDA 2007)

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Generalizing Tree Transformations for Inductive Dependency Parsing
Jens Nilsson | Joakim Nivre | Johan Hall
Proceedings of the 45th Annual Meeting of the Association of Computational Linguistics

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The CoNLL 2007 Shared Task on Dependency Parsing
Joakim Nivre | Johan Hall | Sandra Kübler | Ryan McDonald | Jens Nilsson | Sebastian Riedel | Deniz Yuret
Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL)

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Single Malt or Blended? A Study in Multilingual Parser Optimization
Johan Hall | Jens Nilsson | Joakim Nivre | Gülşen Eryiǧit | Beáta Megyesi | Mattias Nilsson | Markus Saers
Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL)

2006

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Labeled Pseudo-Projective Dependency Parsing with Support Vector Machines
Joakim Nivre | Johan Hall | Jens Nilsson | Gülşen Eryiǧit | Svetoslav Marinov
Proceedings of the Tenth Conference on Computational Natural Language Learning (CoNLL-X)

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MaltParser: A Data-Driven Parser-Generator for Dependency Parsing
Joakim Nivre | Johan Hall | Jens Nilsson
Proceedings of the Fifth International Conference on Language Resources and Evaluation (LREC’06)

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. MaltParser supports several parsing algorithms and learning algorithms, and allows user-defined feature models, consisting of arbitrary combinations of lexical features, part-of-speech features and dependency features. MaltParser is freely available for research and educational purposes and has been evaluated empirically on Swedish, English, Czech, Danish and Bulgarian.

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Talbanken05: A Swedish Treebank with Phrase Structure and Dependency Annotation
Joakim Nivre | Jens Nilsson | Johan Hall
Proceedings of the Fifth International Conference on Language Resources and Evaluation (LREC’06)

We introduce Talbanken05, a Swedish treebank based on a syntactically annotated corpus from the 1970s, Talbanken76, converted to modern formats. The treebank is available in three different formats, besides the original one: two versions of phrase structure annotation and one dependency-based annotation, all of which are encoded in XML. In this paper, we describe the conversion process and exemplify the available formats. The treebank is freely available for research and educational purposes.

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Graph Transformations in Data-Driven Dependency Parsing
Jens Nilsson | Joakim Nivre | Johan Hall
Proceedings of the 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics

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Discriminative Classifiers for Deterministic Dependency Parsing
Johan Hall | Joakim Nivre | Jens Nilsson
Proceedings of the COLING/ACL 2006 Main Conference Poster Sessions

2005

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Pseudo-Projective Dependency Parsing
Joakim Nivre | Jens Nilsson
Proceedings of the 43rd Annual Meeting of the Association for Computational Linguistics (ACL’05)

2004

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Memory-Based Dependency Parsing
Joakim Nivre | Johan Hall | Jens Nilsson
Proceedings of the Eighth Conference on Computational Natural Language Learning (CoNLL-2004) at HLT-NAACL 2004