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Start Over Creator Tabone, Nicole Subject inherently reflexive verbs

1. Annotated corpora and tools of the PARSEME Shared Task on Automatic Identification of Verbal Multiword Expressions (edition 1.0)

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, and Zilio, Leonardo
Publisher:
PARSEME
Type:
text and corpus
Subject:
Multiword expressions, verbal multiword expressions, idioms, light-verb constructions, verb-particle constructions, and inherently reflexive verbs
Language:
Bulgarian, Czech, German, Modern Greek (1453-), Spanish, Persian, French, Hebrew, Hungarian, Italian, Lithuanian, Maltese, Polish, Portuguese, Romanian, Slovenian, Swedish, and Turkish
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.
Rights:
PARSEME Shared Task Data (v. 1.0) Agreement, https://lindat.mff.cuni.cz/repository/xmlui/page/licence-mwe-1.0, and PUB

2. PARSEME corpora annotated for verbal multiword expressions (version 1.3)

Creator:
Savary, Agata, Ramisch, Carlos, Guillaume, Bruno, Hawwari, Abdelati, Walsh, Abigail, Fotopoulou, Aggeliki, Bielinskienė, Agnė, Estarrona, Ainara, Gatt, Albert, Butler, Alexandra, Rademaker, Alexandre, Maldonado, Alfredo, Villavicencio, Aline, Farrugia, Alison, Muscat, Amanda, Gatt, Anabelle, Antić, Anđela, De Santis, Anna, Raffone, Annalisa, Riccio, Anna, Pascucci, Antonio, Gurrutxaga, Antton, Bhatia, Archna, Vaidya, Ashwini, Miral, Ayşenur, QasemiZadeh, Behrang, Priego Sanchez, Belem, Griciūtė, Bernadeta, Erden, Berna, Parra Escartín, Carla, Herrero, Carlos, Carlino, Carola, Pasquer, Caroline, Liebeskind, Chaya, Wang, Chenweng, Ben Khelil, Chérifa, Bonial, Claire, Somers, Clarissa, Aceta, Cristina, Krstev, Cvetana, Bejček, Eduard, Lindqvist, Ellinor, Erenmalm, Elsa, Palka-Binkiewicz, Emilia, Rimkute, Erika, Petterson, Eva, Cap, Fabienne, Hu, Fangyuan, Sangati, Federico, Wick Pedro, Gabriela, Speranza, Giulia, Jagfeld, Glorianna, Blagus, Goranka, Berk, Gözde, Attard, Greta, Eryiğit, Gülşen, Finnveden, Gustav, Martínez Alonso, Héctor, de Medeiros Caseli, Helena, Elyovich, Hevi, Xu, Hongzhi, Xiao, Huangyang, Miranda, Isaac, Jaknić, Isidora, El Maarouf, Ismail, Aduriz, Itziar, Gonzalez, Itziar, Matas, Ivana, Stoyanova, Ivelina, Jazbec, Ivo-Pavao, Busuttil, Jael, Waszczuk, Jakub, Findlay, Jamie, Bonnici, Janice, Šnajder, Jan, Antoine, Jean-Yves, Foster, Jennifer, Chen, Jia, Nivre, Joakim, Monti, Johanna, McCrae, John, Kovalevskaitė, Jolanta, Jain, Kanishka, Simkó, Katalin, Yu, Ke, Azzopardi, Kirsty, Adalı, Kübra, Uria, Larraitz, Zilio, Leonardo, Boizou, Loïc, van der Plas, Lonneke, Galea, Luke, Sarlak, Mahtab, Buljan, Maja, Cherchi, Manuela, Tanti, Marc, Di Buono, Maria Pia, Todorova, Maria, Candito, Marie, Constant, Matthieu, Shamsfard, Mehrnoush, Jiang, Menghan, Boz, Mert, Spagnol, Michael, Onofrei, Mihaela, Li, Minli, Elbadrashiny, Mohamed, Diab, Mona, Rizea, Monica-Mihaela, Hadj Mohamed, Najet, Theoxari, Natasa, Schneider, Nathan, Tabone, Nicole, Ljubešić, Nikola, Vale, Oto, Cook, Paul, Yan, Peiyi, Gantar, Polona, Ehren, Rafael, Fabri, Ray, Ibrahim, Rehab, Ramisch, Renata, Walles, Rinat, Wilkens, Rodrigo, Urizar, Ruben, Sun, Ruilong, Malka, Ruth, Galea, Sara Anne, Stymne, Sara, Louizou, Sevasti, Hu, Sha, Taslimipoor, Shiva, Ratori, Shraddha, Srivastava, Shubham, Cordeiro, Silvio Ricardo, Krek, Simon, Liu, Siyuan, Zeng, Si, Yu, Songping, Arhar Holdt, Špela, Markantonatou, Stella, Papadelli, Stella, Leseva, Svetlozara, Kuzman, Taja, Kavčič, Teja, Lynn, Teresa, Lichte, Timm, Pickard, Thomas, Dimitrova, Tsvetana, Yih, Tsy, Güngör, Tunga, Dinç, Tutkum, Iñurrieta, Uxoa, Tajalli, Vahide, Stefanova, Valentina, Caruso, Valeria, Puri, Vandana, Foufi, Vassiliki, Barbu Mititelu, Verginica, Vincze, Veronika, Kovács, Viktória, Shukla, Vishakha, Giouli, Voula, Ge, Xiaomin, Ha-Cohen Kerner, Yaakov, Öztürk, Yağmur, Yarandi, Yalda, Parmentier, Yannick, Zhang, Yongchen, Zhao, Yun, Urešová, Zdeňka, Yirmibeşoğlu, Zeynep, Qin, Zhenzhen, Stank, Cristescu, Mihaela, Zgreabăn, Bianca-Mădălina, Bărbulescu, Elena-Andreea, and Stanković, Ranka
Publisher:
PARSEME
Type:
text and corpus
Subject:
multiword expressions, verbal multiword expressions, light verb construction, verb-particle constructions, inherently reflexive verbs, verbal idioms, and multi-verb constructions
Language:
Arabic, Bulgarian, Czech, German, Modern Greek (1453-), English, Spanish, Basque, Persian, French, Irish, Hebrew, Hindi, Croatian, Hungarian, Lithuanian, Italian, Maltese, Polish, Portuguese, Romanian, Slovenian, Serbian, Swedish, Turkish, and Chinese
Description:
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). This is the first release of the corpora without an associated shared task. Previous version (1.2) was associated with the PARSEME Shared Task on semi-supervised Identification of Verbal MWEs (2020). The data covers 26 languages corresponding to the combination of the corpora for all previous three editions (1.0, 1.1 and 1.2) of the corpora. VMWEs were annotated according to the universal guidelines. The corpora are provided in the cupt format, inspired by the CONLL-U format. Morphological and syntactic information, ­­­­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). All corpora are split into training, development and test data, following the splitting strategy adopted for the PARSEME Shared Task 1.2. The annotation guidelines are available online: https://parsemefr.lis-lab.fr/parseme-st-guidelines/1.3 The .cupt format is detailed here: https://multiword.sourceforge.net/cupt-format/
Rights:
PARSEME Corpora v. 1.3 - Licence Agreement, https://lindat.mff.cuni.cz/repository/xmlui/page/licence-mwe-1.3, and PUB