OLAC Record
oai:lindat.mff.cuni.cz:11372/LRT-2282

Metadata
Title:Annotated corpora and tools of the PARSEME Shared Task on Automatic Identification of Verbal Multiword Expressions (edition 1.0)
Bibliographic Citation:http://hdl.handle.net/11372/LRT-2282
Creator:Savary, Agata
Ramisch, Carlos
Cordeiro, Silvio Ricardo
Sangati, Federico
Vincze, Veronika
QasemiZadeh, Behrang
Candito, Marie
Cap, Fabienne
Giouli, Voula
Stoyanova, Ivelina
Doucet, Antoine
Adalı, Kübra
Barbu Mititelu, Verginica
Bejček, Eduard
El Maarouf, Ismail
Eryiğit, Gülşen
Galea, Luke
Ha-Cohen Kerner, Yaakov
Liebeskind, Chaya
Monti, Johanna
Parra Escartín, Carla
Kovalevskaitė, Jolanta
Krek, Simon
van der Plas, Lonneke
Aceta, Cristina
Aduriz, Itziar
Antoine, Jean-Yves
Attard, Greta
Azzopardi, Kirsty
Boizou, Loic
Bonnici, Janice
Boz, Mert
Bumbulienė, Ieva
Busuttil, Jael
Caruso, Valeria
Cherchi, Manuela
Constant, Matthieu
Czerepowicka, Monika
De Santis, Anna
Dimitrova, Tsvetana
Dinç, Tutkum
Elyovich, Hevi
Fabri, Ray
Farrugia, Alison
Findlay, Jamie
Fotopoulou, Aggeliki
Foufi, Vassiliki
Galea, Sara Anne
Gantar, Polona
Gatt, Albert
Gatt, Anabelle
Herrero, Carlos
Iñurrieta, Uxoa
Jagfeld, Glorianna
Hnátková, Milena
Ionescu, Mihaela
Klyueva, Natalia
Koeva, Svetla
Kovács, Viktória
Kuzman, Taja
Leseva, Svetlozara
Louisou, Sevi
Lynn, Teresa
Malka, Ruth
Martínez Alonso, Héctor
McCrae, John
de Medeiros Caseli, Helena
Miral, Ayşenur
Muscat, Amanda
Nivre, Joakim
Oakes, Michael
Onofrei, Mihaela
Parmentier, Yannick
Pasquer, Caroline
Pia di Buono, Maria
Priego Sanchez, Belem
Raffone, Annalisa
Ramisch, Renata
Rimkutė, Erika
Rizea, Monica-Mihaela
Simkó, Katalin
Spagnol, Michael
Stefanova, Valentina
Stymne, Sara
Sulubacak, Umut
Tabone, Nicole
Tanti, Marc
Todorova, Maria
Urešová, Zdenka
Villavicencio, Aline
Zilio, Leonardo
Date (W3CDTF):2017-06-20T08:39:36Z
Date Available:2017-06-20T08:39:36Z
Description:The PARSEME shared task aims at identifying verbal MWEs in running texts. Verbal MWEs include idioms (let the cat out of the bag), light verb constructions (make a decision), verb-particle constructions (give up), and inherently reflexive verbs (se suicider 'to suicide' in French). VMWEs were annotated according to the universal guidelines in 18 languages. The corpora are provided in the parsemetsv format, inspired by the CONLL-U format. For most languages, paired files in the CONLL-U format - not necessarily using UD tagsets - containing 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 and test data, tools and the universal guidelines file.
Identifier (URI):http://hdl.handle.net/11372/LRT-2282
Is Replaced By (URI):http://hdl.handle.net/11372/LRT-2842
Language:Bulgarian
Czech
German
Modern Greek (1453-)
Spanish
Persian
French
Hebrew
Hungarian
Italian
Lithuanian
Maltese
Polish
Portuguese
Romanian
Slovenian
Swedish
Turkish
Language (ISO639):bul
ces
deu
ell
spa
fas
fra
heb
hun
ita
lit
mlt
pol
por
ron
slv
swe
tur
Publisher:PARSEME
Rights:PARSEME Shared Task Data (v. 1.0) Agreement
https://lindat.mff.cuni.cz/repository/xmlui/page/licence-mwe-1.0
Subject:Multiword expressions
verbal multiword expressions
idioms
light-verb constructions
verb-particle constructions
inherently reflexive verbs
Type:corpus
Type (DCMI):Text
Type (OLAC):primary_text

OLAC Info

Archive:  LINDAT/CLARIAH-CZ digital library at the Institute of Formal and Applied Linguistics (ÚFAL), Faculty of Mathematics and Physics, Charles University
Description:  http://www.language-archives.org/archive/lindat.mff.cuni.cz
GetRecord:  OAI-PMH request for OLAC format
GetRecord:  Pre-generated XML file

OAI Info

OaiIdentifier:  oai:lindat.mff.cuni.cz:11372/LRT-2282
DateStamp:  2021-06-29
GetRecord:  OAI-PMH request for simple DC format

Search Info

Citation: Savary, Agata; Ramisch, Carlos; Cordeiro, Silvio Ricardo; Sangati, Federico; Vincze, Veronika; QasemiZadeh, Behrang; Candito, Marie; Cap, Fabienne; Giouli, Voula; Stoyanova, Ivelina; Doucet, Antoine; Adalı, Kübra; Barbu Mititelu, Verginica; Bejček, Eduard; El Maarouf, Ismail; Eryiğit, Gülşen; Galea, Luke; Ha-Cohen Kerner, Yaakov; Liebeskind, Chaya; Monti, Johanna; Parra Escartín, Carla; Kovalevskaitė, Jolanta; Krek, Simon; van der Plas, Lonneke; Aceta, Cristina; Aduriz, Itziar; Antoine, Jean-Yves; Attard, Greta; Azzopardi, Kirsty; Boizou, Loic; Bonnici, Janice; Boz, Mert; Bumbulienė, Ieva; Busuttil, Jael; Caruso, Valeria; Cherchi, Manuela; Constant, Matthieu; Czerepowicka, Monika; De Santis, Anna; Dimitrova, Tsvetana; Dinç, Tutkum; Elyovich, Hevi; Fabri, Ray; Farrugia, Alison; Findlay, Jamie; Fotopoulou, Aggeliki; Foufi, Vassiliki; Galea, Sara Anne; Gantar, Polona; Gatt, Albert; Gatt, Anabelle; Herrero, Carlos; Iñurrieta, Uxoa; Jagfeld, Glorianna; Hnátková, Milena; Ionescu, Mihaela; Klyueva, Natalia; Koeva, Svetla; Kovács, Viktória; Kuzman, Taja; Leseva, Svetlozara; Louisou, Sevi; Lynn, Teresa; Malka, Ruth; Martínez Alonso, Héctor; McCrae, John; de Medeiros Caseli, Helena; Miral, Ayşenur; Muscat, Amanda; Nivre, Joakim; Oakes, Michael; Onofrei, Mihaela; Parmentier, Yannick; Pasquer, Caroline; Pia di Buono, Maria; Priego Sanchez, Belem; Raffone, Annalisa; Ramisch, Renata; Rimkutė, Erika; Rizea, Monica-Mihaela; Simkó, Katalin; Spagnol, Michael; Stefanova, Valentina; Stymne, Sara; Sulubacak, Umut; Tabone, Nicole; Tanti, Marc; Todorova, Maria; Urešová, Zdenka; Villavicencio, Aline; Zilio, Leonardo. 2017. PARSEME.
Terms: area_Asia area_Europe country_BG country_CZ country_DE country_ES country_FR country_GR country_HU country_IL country_IT country_LT country_MT country_PL country_PT country_RO country_SE country_SI country_TR dcmi_Text iso639_bul iso639_ces iso639_deu iso639_ell iso639_fas iso639_fra iso639_heb iso639_hun iso639_ita iso639_lit iso639_mlt iso639_pol iso639_por iso639_ron iso639_slv iso639_spa iso639_swe iso639_tur olac_primary_text


http://www.language-archives.org/item.php/oai:lindat.mff.cuni.cz:11372/LRT-2282
Up-to-date as of: Thu Oct 5 0:40:45 EDT 2023