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1
Universal Dependencies 2.9
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021
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2
Universal Dependencies 2.8.1
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021
BASE
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3
Universal Dependencies 2.8
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021
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4
Edition 1.2 of the PARSEME Shared Task on Semi-supervised Identification of Verbal Multiword Expressions
In: Joint Workshop on Multiword Expressions and Electronic Lexicons (MWE-LEX 2020) ; https://hal.archives-ouvertes.fr/hal-03014927 ; Joint Workshop on Multiword Expressions and Electronic Lexicons (MWE-LEX 2020), 2020, Barcelona, Spain ; https://www.aclweb.org/anthology/volumes/2020.mwe-1/ (2020)
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5
Morpho-syntactically annotated corpora provided for the PARSEME Shared Task on Semi-Supervised Identification of Verbal Multiword Expressions (edition 1.2)
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6
Universal Dependencies 2.7
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2020
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7
Annotated corpora and tools of the PARSEME Shared Task on Semi-Supervised Identification of Verbal Multiword Expressions (edition 1.2)
BASE
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8
Universal Dependencies 2.6
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2020
BASE
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9
A Hybrid Approach to Dependency Parsing: Combining Rules and Morphology with Deep Learning ...
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10
Resources for Turkish Dependency Parsing: Introducing the BOUN Treebank and the BoAT Annotation Tool ...
BASE
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11
ERMI at PARSEME Shared Task 2020: Embedding-Rich Multiword Expression Identification ...
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12
Generating Word and Document Embeddings for Sentiment Analysis ...
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13
Edition 1.1 of the PARSEME Shared Task on Automatic Identification of Verbal Multiword Expressions
In: Proceedings of the Joint Workshop on Linguistic Annotation, Multiword Expressions and Constructions (LAW-MWE-CxG-2018) ; https://hal.archives-ouvertes.fr/hal-01865575 ; Proceedings of the Joint Workshop on Linguistic Annotation, Multiword Expressions and Constructions (LAW-MWE-CxG-2018), Aug 2018, Santa Fe, United States. pp.222 - 240 (2018)
Abstract: International audience ; This paper describes the PARSEME Shared Task 1.1 on automatic identification of verbal multi-word expressions. We present the annotation methodology, focusing on changes from last year's shared task. Novel aspects include enhanced annotation guidelines, additional annotated data for most languages, corpora for some new languages, and new evaluation settings. Corpora were created for 20 languages, which are also briefly discussed. We report organizational principles behind the shared task and the evaluation metrics employed for ranking. The 17 participating systems, their methods and obtained results are also presented and analysed.
Keyword: [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; [SHS.LANGUE]Humanities and Social Sciences/Linguistics
URL: https://hal.archives-ouvertes.fr/hal-01865575/file/2018-Ramisch-et-al.pdf
https://hal.archives-ouvertes.fr/hal-01865575
https://hal.archives-ouvertes.fr/hal-01865575/document
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14
Annotated corpora and tools of the PARSEME Shared Task on Automatic Identification of Verbal Multiword Expressions (edition 1.1)
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15
Improving Named Entity Recognition by Jointly Learning to Disambiguate Morphological Tags ...
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16
Dictionary-Based Concept Mining: An Application for Turkish ...
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17
Part-of-speech tagging
In: Handbook of natural language processing (Boca Raton, Fla., 2010), p. 205-236
MPI für Psycholinguistik
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18
Natural language watermarking via morphosyntactic alterations
In: Computer speech and language. - Amsterdam [u.a.] : Elsevier 23 (2009) 1, 107-125
OLC Linguistik
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19
Natural language watermarking via morphosyntactic alterations
In: Computer speech and language. - Amsterdam [u.a.] : Elsevier 23 (2009) 1, 107-125
BLLDB
OLC Linguistik
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