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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
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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)
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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 ...
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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)
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14
Annotated corpora and tools of the PARSEME Shared Task on Automatic Identification of Verbal Multiword Expressions (edition 1.1)
Ramisch, Carlos; Cordeiro, Silvio Ricardo; Savary, Agata; Vincze, Veronika; Barbu Mititelu, Verginica; Bhatia, Archna; Buljan, Maja; Candito, Marie; Gantar, Polona; Giouli, Voula; Güngör, Tunga; Hawwari, Abdelati; Iñurrieta, Uxoa; Kovalevskaitė, Jolanta; Krek, Simon; Lichte, Timm; Liebeskind, Chaya; Monti, Johanna; Parra Escartín, Carla; QasemiZadeh, Behrang; Ramisch, Renata; Schneider, Nathan; Stoyanova, Ivelina; Vaidya, Ashwini; Walsh, Abigail; Aceta, Cristina; Aduriz, Itziar; Antoine, Jean-Yves; Arhar Holdt, Špela; Berk, Gözde; Bielinskienė, Agnė; Blagus, Goranka; Boizou, Loic; Bonial, Claire; Caruso, Valeria; Čibej, Jaka; Constant, Matthieu; Cook, Paul; Diab, Mona; Dimitrova, Tsvetana; Ehren, Rafael; Elbadrashiny, Mohamed; Elyovich, Hevi; Erden, Berna; Estarrona, Ainara; Fotopoulou, Aggeliki; Foufi, Vassiliki; Geeraert, Kristina; van Gompel, Maarten; Gonzalez, Itziar; Gurrutxaga, Antton; Ha-Cohen Kerner, Yaakov; Ibrahim, Rehab; Ionescu, Mihaela; Jain, Kanishka; Jazbec, Ivo-Pavao; Kavčič, Teja; Klyueva, Natalia; Kocijan, Kristina; Kovács, Viktória; Kuzman, Taja; Leseva, Svetlozara; Ljubešić, Nikola; Malka, Ruth; Markantonatou, Stella; Martínez Alonso, Héctor; Matas, Ivana; McCrae, John; de Medeiros Caseli, Helena; Onofrei, Mihaela; Palka-Binkiewicz, Emilia; Papadelli, Stella; Parmentier, Yannick; Pascucci, Antonio; Pasquer, Caroline; Pia di Buono, Maria; Puri, Vandana; Raffone, Annalisa; Ratori, Shraddha; Riccio, Anna; Sangati, Federico; Shukla, Vishakha; Simkó, Katalin; Šnajder, Jan; Somers, Clarissa; Srivastava, Shubham; Stefanova, Valentina; Taslimipoor, Shiva; Theoxari, Natasa; Todorova, Maria; Urizar, Ruben; Villavicencio, Aline; Zilio, Leonardo. - : PARSEME, 2018
Abstract: This multilingual resource contains corpora in which verbal MWEs have been manually annotated. VMWEs include idioms (let the cat out of the bag), light-verb constructions (make a decision), verb-particle constructions (give up), inherently reflexive verbs (help oneself), and multi-verb constructions (make do). VMWEs were annotated according to the universal guidelines in 19 languages. The corpora are provided in the cupt format, inspired by the CONLL-U format. The corpora were used in the 1.1 edition of the PARSEME Shared Task (2018). For most languages, morphological and syntactic information ­­­­– not necessarily using UD tagsets – including parts of speech, lemmas, morphological features and/or syntactic dependencies are also provided. Depending on the language, the information comes from treebanks (e.g., Universal Dependencies) or from automatic parsers trained on treebanks (e.g., UDPipe). This item contains training, development and test data, as well as the evaluation tools used in the PARSEME Shared Task 1.1 (2018). The annotation guidelines are available online: http://parsemefr.lif.univ-mrs.fr/parseme-st-guidelines/1.1
Keyword: inherently reflexive verbs; light-verb constructions; multi-verb constructions; Multiword expressions; verb-particle constructions; verbal idioms; verbal multiword expressions
URL: http://hdl.handle.net/11372/LRT-2842
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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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