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Universal Dependencies 2.0 – CoNLL 2017 Shared Task Development and Test Data
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Annotated corpora and tools of the PARSEME Shared Task on Automatic Identification of Verbal Multiword Expressions (edition 1.0)
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CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies
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Multilingual Projection for Parsing Truly Low-Resource Languageš
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In: EISSN: 2307-387X ; Transactions of the Association for Computational Linguistics ; https://hal.inria.fr/hal-01426754 ; Transactions of the Association for Computational Linguistics, The MIT Press, 2016 (2016)
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Learning Paraphrasing for Multi-word Expressions
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In: MWE 2016 - Multiword Expression Workshop 2016 ; https://hal.inria.fr/hal-01426749 ; MWE 2016 - Multiword Expression Workshop 2016, Aug 2016, Berlin, Germany (2016)
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27 |
Supersense tagging with inter-annotator disagreement
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In: Linguistic Annotation Workshop 2016 ; https://hal.inria.fr/hal-01426747 ; Linguistic Annotation Workshop 2016, Aug 2016, Berlin, Germany. pp.43 - 48 (2016)
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Abstract:
International audience ; Linguistic annotation underlies many successful approaches in Natural Language Processing (NLP), where the annotated corpora are used for training and evaluating supervised learners. The consistency of annotation limits the performance of supervised models, and thus a lot of effort is put into obtaining high-agreement annotated datasets. Recent research has shown that annotation disagreement is not random noise, but carries a systematic signal that can be used for improving the supervised learner. However, prior work was limited in scope, focusing only on part-of-speech tagging in a single language. In this paper we broaden the experiments to a semantic task (supersense tagging) using multiple languages. In particular, we analyse how systematic disagreement is for sense annotation, and we present a preliminary study of whether patterns of disagreements transfer across languages.
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Keyword:
[SHS.LANGUE]Humanities and Social Sciences/Linguistics; [STAT.ML]Statistics [stat]/Machine Learning [stat.ML]; inter-anotator disagreement; NLP; supersenses
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URL: https://hal.inria.fr/hal-01426747 https://hal.inria.fr/hal-01426747/document https://hal.inria.fr/hal-01426747/file/W16-1706.pdf
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Universal Dependencies for the AnCora treebanks
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In: ISSN: 1135-5948 ; Procesamiento del Lenguaje Natural ; https://hal.inria.fr/hal-01426751 ; Procesamiento del Lenguaje Natural, Sociedad Espanola para el Procesamiento del Lenguaje Natural, 2016 ; http://journal.sepln.org/sepln/ojs/ojs/index.php/pln/issue/view/220 (2016)
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Choosing a Spanish Part-of-Speech tagger for a lexically sensitive task ; Selección de un etiquetador morfosintáctico primando la precisión en las categorías léxicas
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Annotation of regular polysemy: an empirical assessment of the underspecified sense
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In: TDX (Tesis Doctorals en Xarxa) (2013)
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Agrupación de resultados de una consulta de corpus según medidas de similitud léxica
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Identification of sense selection in regular polysemy using shallow features
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