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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
BASE
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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)
Abstract: International audience ; We present edition 1.2 of the PARSEME shared task on identification of verbal multiword expressions (VMWEs). Lessons learned from previous editions indicate that VMWEs have low ambiguity, and that the major challenge lies in identifying test instances never seen in the training data. Therefore, this edition focuses on unseen VMWEs. We have split annotated corpora so that the test corpora contain around 300 unseen VMWEs, and we provide non-annotated raw corpora to be used by complementary discovery methods. We released annotated and raw corpora in 14 languages, and this semi-supervised challenge attracted 7 teams who submitted 9 system results. This paper describes the effort of corpus creation, the task design, and the results obtained by the participating systems, especially their performance on unseen expressions.
Keyword: [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]
URL: https://hal.archives-ouvertes.fr/hal-03014927/document
https://hal.archives-ouvertes.fr/hal-03014927
https://hal.archives-ouvertes.fr/hal-03014927/file/main-print.pdf
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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
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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)
BASE
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14
Annotated corpora and tools of the PARSEME Shared Task on Automatic Identification of Verbal Multiword Expressions (edition 1.1)
BASE
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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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