{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,17]],"date-time":"2025-11-17T03:05:05Z","timestamp":1763348705636,"version":"3.37.3"},"reference-count":33,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2024,9,20]],"date-time":"2024-09-20T00:00:00Z","timestamp":1726790400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,9,20]],"date-time":"2024-09-20T00:00:00Z","timestamp":1726790400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Lang Resources & Evaluation"],"published-print":{"date-parts":[[2024,12]]},"DOI":"10.1007\/s10579-024-09773-5","type":"journal-article","created":{"date-parts":[[2024,9,20]],"date-time":"2024-09-20T07:02:27Z","timestamp":1726815747000},"page":"1463-1480","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["From LIMA to DeepLIMA: following a new path of interoperability"],"prefix":"10.1007","volume":"58","author":[{"given":"Victor","family":"Bocharov","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Romaric","family":"Besan\u00e7on","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4460-0297","authenticated-orcid":false,"given":"Ga\u00ebl","family":"de Chalendar","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Olivier","family":"Ferret","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nasredine","family":"Semmar","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,9,20]]},"reference":[{"key":"9773_CR1","unstructured":"Abadi, M., Agarwal, A., Barham, P., Brevdo, E., Chen, Z., Citro, C., & Zheng, X. (2016).\u00a0TensorFlow: Large-scale machine learning on heterogeneous systems. Software available from tensorflow.org"},{"key":"9773_CR2","unstructured":"Besan\u00e7on, R., De Chalendar, G., Ferret, O., Gara, F., Mesnard, O., La\u00efb, M., & Semmar, N. (2010). LIMA: A multilingual framework for linguistic analysis and linguistic resources development and evaluation. In: Proceedings of the seventh conference on international language resources and evaluation (LREC\u201910). European Languages Resources Association (ELRA), Valletta, Malta."},{"key":"9773_CR3","volume-title":"Natural language processing with python","author":"S Bird","year":"2009","unstructured":"Bird, S., Klein, E., & Loper, E. (2009). Natural language processing with python. O\u2019Reilly Media."},{"key":"9773_CR4","doi-asserted-by":"publisher","unstructured":"Bocharov, V. (2020). Quantized versions of fastText embeddings for 158 languages. https:\/\/doi.org\/10.5281\/zenodo.3629537","DOI":"10.5281\/zenodo.3629537"},{"key":"9773_CR5","unstructured":"Bocharov, V., & de\u00a0Chalendar, G. (2020). The Russian language pipeline in the LIMA multilingual analyzer. in: computational linguistics and intellectual technologies: Papers from the annual conference \u201cDialogue\u201d"},{"key":"9773_CR6","doi-asserted-by":"crossref","unstructured":"Bojanowski, P., Grave, E., Joulin, A., & Mikolov, T. (2017). Enriching word vectors with subword information. Preprint arXiv:1607.04606","DOI":"10.1162\/tacl_a_00051"},{"key":"9773_CR7","unstructured":"Cunningham, H., Maynard, D., & Bontcheva, K.,\u00a0Tablan, V. (2002a). GATE: A framework and graphical development environment for robust NLP tools and applications. In: Proceedings of the 40th anniversary meeting of the association for computational linguistics (ACL\u201902)"},{"key":"9773_CR8","doi-asserted-by":"publisher","unstructured":"Cunningham, H., Maynard, D., Bontcheva, K.,\u00a0Tablan, V., (2002b). GATE: An architecture for development of robust HLT applications. In: Proceedings of the 40th annual meeting of the association for computational linguistics. Association for Computational Linguistics, Philadelphia, Pennsylvania, USA, pp. 168\u2013175, https:\/\/doi.org\/10.3115\/1073083.1073112","DOI":"10.3115\/1073083.1073112"},{"key":"9773_CR9","volume-title":"Text processing with GATE","author":"H Cunningham","year":"2011","unstructured":"Cunningham, H., Maynard, D., & Bontcheva, K. (2011). Text processing with GATE. The University of Sheffield, Department of Computer Science."},{"key":"9773_CR10","doi-asserted-by":"publisher","unstructured":"De Castilho, R. E., & Gurevych, I. (2014). A broad-coverage collection of portable NLP components for building shareable analysis pipelines. In: Proceedings of the workshop on open infrastructures and analysis frameworks for HLT. Association for Computational Linguistics and Dublin City University, Dublin, Ireland, pp. 1\u201311, https:\/\/doi.org\/10.3115\/v1\/W14-5201","DOI":"10.3115\/v1\/W14-5201"},{"key":"9773_CR11","doi-asserted-by":"publisher","unstructured":"Devlin, J., Chang, M.W., & Lee, K., (2019). BERT: Pre-training of deep bidirectional transformers for language understanding. In: Proceedings of the 2019 conference of the North American Chapter of the association for computational linguistics: Human language technologies, Volume 1 (Long and Short Papers). Association for Computational Linguistics, Minneapolis, Minnesota, pp. 4171\u20134186, https:\/\/doi.org\/10.18653\/v1\/N19-1423","DOI":"10.18653\/v1\/N19-1423"},{"key":"9773_CR12","unstructured":"Dozat, T., & Manning, C.D. (2017). Deep biaffine attention for neural dependency parsing. In: 5th international conference on learning representations (ICLR 2017)"},{"key":"9773_CR13","unstructured":"Ferrucci, D., Lally, A., Verspoor, K., & Nyberg, E., (2009). Unstructured information management architecture (UIMA) version 1.0. OASIS Standard"},{"key":"9773_CR14","unstructured":"Grave, E., Bojanowski, P., Gupta, P., Joulin, A., & Mikolov, T. (2018). Learning word vectors for 157 languages. In: Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC-2018). European Languages Resources Association (ELRA), Miyazaki, Japan"},{"key":"9773_CR15","unstructured":"Hinrichs, M., Zastrow, T., & Hinrichs, E. (2010). WebLicht: Web-based LRT services in a distributed eScience infrastructure. In: Proceedings of the seventh international conference on language resources and evaluation (LREC\u201910). European Language Resources Association (ELRA), Valletta, Malta, http:\/\/www.lrec-conf.org\/proceedings\/lrec2010\/pdf\/270_Paper.pdf"},{"key":"9773_CR16","doi-asserted-by":"publisher","unstructured":"Kanerva, J., Ginter, F., Miekka, N., Leino, A., & Salakoski, T. (2018). Turku neural parser pipeline: An end-to-end system for the CoNLL 2018 shared task. In: Proceedings of the CoNLL 2018 shared task: Multilingual parsing from raw text to universal dependencies. Association for Computational Linguistics, Brussels, Belgium, pp 133\u2013142, https:\/\/doi.org\/10.18653\/v1\/K18-2013","DOI":"10.18653\/v1\/K18-2013"},{"key":"9773_CR17","doi-asserted-by":"publisher","first-page":"313","DOI":"10.1162\/tacl_a_00101","volume":"4","author":"E Kiperwasser","year":"2016","unstructured":"Kiperwasser, E., & Goldberg, Y. (2016). Simple and accurate dependency parsing using bidirectional lstm feature representations. Transactions of the Association for Computational Linguistics, 4, 313\u2013327.","journal-title":"Transactions of the Association for Computational Linguistics"},{"key":"9773_CR18","doi-asserted-by":"crossref","unstructured":"Kondratyuk, D., & Straka, M. (2019). 75 Languages, 1 model: Parsing universal dependencies universally. In: Proceedings of the 2019 conference on empirical methods in natural language processing and the 9th international joint conference on natural language processing (EMNLP-IJCNLP). Association for Computational Linguistics, Hong Kong, China, pp 2779\u20132795","DOI":"10.18653\/v1\/D19-1279"},{"key":"9773_CR19","unstructured":"Krauwer, S., & Hinrichs, E. (2014). The CLARIN research infrastructure: Resources and tools for e-humanities scholars. Proceedings of the Ninth international conference on language resources and evaluation (LREC-2014) pp. 1525\u20131531. https:\/\/dspace.library.uu.nl\/handle\/1874\/307981, Accepted: 2015-02-23T11:14:05Z ISBN: 9782951740884 Publisher: European Language Resources Association (ELRA)"},{"key":"9773_CR20","doi-asserted-by":"publisher","unstructured":"Manning, C. D., Surdeanu, M., Bauer, J., Finkel, J. R., Bethard, S., & McClosky, D. (2014). The stanford CoreNLP natural language processing toolkit. In: Proceedings of 52nd annual meeting of the association for computational linguistics: System demonstrations. Association for Computational Linguistics, Baltimore, Maryland, pp. 55\u201360, https:\/\/doi.org\/10.3115\/v1\/P14-5010","DOI":"10.3115\/v1\/P14-5010"},{"key":"9773_CR21","unstructured":"Mikolov, T., Chen, K., Corrado, G.S. (2013). Efficient estimation of word representations in vector space. CoRR abs\/1301.3781"},{"key":"9773_CR22","unstructured":"Nivre, J., De Marneffe, M. C., Ginter, F., Goldberg, Y., Hajic, J., Manning, C. D., Zeman, D. (2016). Universal dependencies v1: A multilingual treebank collection. In: Proceedings of the tenth international conference on language resources and evaluation (LREC 2016). European Language Resources Association (ELRA), Portoro\u017e, Slovenia, pp 1659\u20131666"},{"key":"9773_CR23","doi-asserted-by":"publisher","DOI":"10.5334\/gjgl.537","author":"T Osborne","year":"2019","unstructured":"Osborne, T., & Gerdes, K. (2019). The status of function words in dependency grammar: A critique of universal dependencies. Glossa: A Journal of General Linguistics. https:\/\/doi.org\/10.5334\/gjgl.537","journal-title":"Glossa: A Journal of General Linguistics"},{"key":"9773_CR24","volume-title":"Advances in neural information processing systems","author":"A Paszke","year":"2019","unstructured":"Paszke, A., Gross, S., Massa, F., et al. (2019). Pytorch: An imperative style, high-performance deep learning library. In H. Wallach, H. Larochelle, & A. Beygelzimer (Eds.), Advances in neural information processing systems. Curran Associates, Inc."},{"key":"9773_CR25","doi-asserted-by":"crossref","unstructured":"Pennington, J., Socher, R., & Manning, C.D. (2014). Glove: Global vectors for word representation. In: Empirical methods in natural language processing (EMNLP), pp. 1532\u20131543","DOI":"10.3115\/v1\/D14-1162"},{"key":"9773_CR26","doi-asserted-by":"crossref","unstructured":"Qi, P., Zhang, Y., Zhang, Y., Bolton, J., & Manning, C. D. (2020). Stanza: A python natural language processing toolkit for many human languages. In: Proceedings of the 58th annual meeting of the association for computational linguistics: system demonstrations","DOI":"10.18653\/v1\/2020.acl-demos.14"},{"key":"9773_CR27","doi-asserted-by":"publisher","unstructured":"Rehm, G. (2023). European language grid: A language technology platform for multilingual Europe. In: Cognitive technologies, Springer. https:\/\/doi.org\/10.1007\/978-3-031-17258-8","DOI":"10.1007\/978-3-031-17258-8"},{"key":"9773_CR28","unstructured":"Rehm, G., Berger, M., Elsholz, E., Hegele, S., Kintzel, F., Marheinecke, K., & Klejch, O. (2020a). European language grid: An overview. In: Calzolari, N., B\u00e9chet, F., Blache, P., (eds). Proceedings of the twelfth language resources and evaluation conference. European Language Resources Association, Marseille, France, pp. 3366\u20133380, https:\/\/aclanthology.org\/2020.lrec-1.413"},{"key":"9773_CR29","unstructured":"Rehm, G., Galanis, D., Labropoulou, P., Piperidis, S., Wel\u00df, M., Usbeck, R., & Lagzdi\u0146\u0161, A. (2020b). Towards an interoperable ecosystem of AI and LT platforms: A roadmap for the implementation of different levels of interoperability. In: Proceedings of the 1st international workshop on language technology platforms. European Language Resources Association, Marseille, France, pp. 96\u2013107"},{"key":"9773_CR30","doi-asserted-by":"publisher","first-page":"421","DOI":"10.1162\/tacl_a_00033","volume":"6","author":"Y Shao","year":"2018","unstructured":"Shao, Y., Hardmeier, C., & Nivre, J. (2018). Universal word segmentation: Implementation and interpretation. Transactions of the Association for Computational Linguistics, 6, 421\u2013435. https:\/\/doi.org\/10.1162\/tacl_a_00033","journal-title":"Transactions of the Association for Computational Linguistics"},{"key":"9773_CR31","doi-asserted-by":"publisher","unstructured":"Straka, M., & Strakov\u00e1, J. (2017). Tokenizing, POS tagging, lemmatizing and parsing UD 2.0 with UDPipe. In: Proceedings of the CoNLL 2017 Shared task: Multilingual parsing from raw text to universal dependencies. Association for Computational Linguistics, Vancouver, Canada, pp. 88\u201399, https:\/\/doi.org\/10.18653\/v1\/K17-3009","DOI":"10.18653\/v1\/K17-3009"},{"issue":"4","key":"9773_CR32","doi-asserted-by":"publisher","first-page":"631","DOI":"10.1162\/coli_a_00329","volume":"44","author":"C Zinn","year":"2018","unstructured":"Zinn, C. (2018). The language resource switchboard. Computational Linguistics, 44(4), 631\u2013639. https:\/\/doi.org\/10.1162\/coli_a_00329","journal-title":"Computational Linguistics"},{"key":"9773_CR33","unstructured":"Zinn, C., Qui, W., Hinrichs, M., Dima, E., & Chernov, A. (2018) Handling big data and sensitive data using EUDAT\u2019s generic execution framework and the WebLicht workflow engine. In: Proceedings of the eleventh international conference on language resources and evaluation (LREC 2018). European Language Resources Association (ELRA), Miyazaki, Japan, https:\/\/aclanthology.org\/L18-1285"}],"container-title":["Language Resources and Evaluation"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10579-024-09773-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10579-024-09773-5\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10579-024-09773-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,2]],"date-time":"2024-11-02T10:11:09Z","timestamp":1730542269000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10579-024-09773-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,9,20]]},"references-count":33,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2024,12]]}},"alternative-id":["9773"],"URL":"https:\/\/doi.org\/10.1007\/s10579-024-09773-5","relation":{},"ISSN":["1574-020X","1574-0218"],"issn-type":[{"type":"print","value":"1574-020X"},{"type":"electronic","value":"1574-0218"}],"subject":[],"published":{"date-parts":[[2024,9,20]]},"assertion":[{"value":"26 August 2024","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"20 September 2024","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors have not disclosed any competing interests.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflicts of interest"}}]}}