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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 13 of 13 1 Hierarchical-Task Reservoir for Online Semantic Analysis from Continuous Speech Pedrelli, Luca; Hinaut, Xavier In: ISSN: 2162-237X ; IEEE Transactions on Neural Networks and Learning Systems ; https://hal.inria.fr/hal-03031413 ; IEEE Transactions on Neural Networks and Learning Systems, IEEE, 2021, ⟨10.1109/TNNLS.2021.3095140⟩ ; https://ieeexplore.ieee.org/abstract/document/9548713/metrics#metrics (2021) BASE Show details 2 Training corpus ssj500k 2.3 Krek, Simon; Dobrovoljc, Kaja; Erjavec, Tomaž. - : Centre for Language Resources and Technologies, University of Ljubljana, 2021 BASE Show details 3 Training corpus ssj500k 2.2 Krek, Simon; Dobrovoljc, Kaja; Erjavec, Tomaž. - : Centre for Language Resources and Technologies, University of Ljubljana, 2019 BASE Show details 4 Training corpus ssj500k 2.1 Krek, Simon; Dobrovoljc, Kaja; Erjavec, Tomaž. - : Centre for Language Resources and Technologies, University of Ljubljana, 2018 BASE Show details 5 Training corpus hr500k 1.0 Ljubešić, Nikola; Agić, Željko; Klubička, Filip; Batanović, Vuk; Erjavec, Tomaž. - : Jožef Stefan Institute, 2018 Abstract: The hr500k training corpus contains about 500,000 tokens manually annotated on the levels of tokenisation, sentence segmentation, morphosyntactic tagging, lemmatisation and named entities. About half of the corpus is also manually annotated with syntactic dependencies. Furthermore, about a fifth of the corpus is annotated with semantic role labels. The annotations (and other aspects) of the hr500k corpus are documented in the teiHeader and back element of the TEI encoded corpus. In short, they follow (1) the MULTEXT-East V5 morphosyntactic specifications for Croatian, http://nl.ijs.si/ME/V5/msd/, (2) the UDv2 Guidelines, http://universaldependencies.org/guidelines.html, and (3) the Janes annotation guidelines for named entities, http://nl.ijs.si/janes/wp-content/uploads/2017/09/SlovenianNER-eng-v1.1.pdf, while (4) the semantic role labelling annotation guidelines are currently in the publication process. Keyword: dependency treebank; manual annotation; named entities; parsing; part-of-speech tagging; semantic role labelling; TEI; tokenisation URL: http://hdl.handle.net/11356/1183 BASE Hide details 6 Neural Models for Large-Scale Semantic Role Labelling FitzGerald, Nicholas Arthur. - 2018 BASE Show details 7 More than Word Cooccurrence: Exploring Support and Opposition in International Climate Negotiations with Semantic Parsing Ruiz, Pablo; Plancq, Clément; Poibeau, Thierry In: Proceedings of LREC, the 10th Language Resources and Evaluation Conference ; LREC: The 10th Language Resources and Evaluation Conference ; https://hal.archives-ouvertes.fr/hal-01326692 ; LREC: The 10th Language Resources and Evaluation Conference, ELRA, May 2016, Portorož, Slovenia. pp.1902 ; http://lrec2016.lrec-conf.org/en/ (2016) BASE Show details 8 Global methods for cross-lingual semantic role and predicate labelling Van Der Plas, Lonneke; Apidianaki, Marianna; Chen, Chenhua In: International Conference on Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-01838563 ; International Conference on Computational Linguistics, Jan 2014, Dublin, Ireland (2014) BASE Show details 9 Utilisation de représentations de mots pour l’étiquetage de rôles sémantiques suivant FrameNet Léchelle, William. - 2014 BASE Show details 10 Noun/Verb Inference Paul Bedaride; Claire Gardent; Université Henri Poincaré In: http://hal.inria.fr/docs/00/43/87/31/PDF/ltc-036-bedaride.pdf (2009) BASE Show details 11 Noun/Verb Inference Bedaride, Paul; Gardent, Claire In: Human Language Technologies au a Challenge for the Computer Science and Linguistic ; 4th Language & Technology Conference: Human Language Technologies au a Challenge for the Computer Science and Linguistics - LTC'09 ; https://hal.inria.fr/inria-00438731 ; 4th Language & Technology Conference: Human Language Technologies au a Challenge for the Computer Science and Linguistics - LTC'09, Nov 2009, Poznań, Poland. pp.311--315 (2009) BASE Show details 12 Natural language understanding in controlled virtual environments YE, PATRICK. - 2009 BASE Show details 13 PropBank: Semantics of New Predicate Types Claire Bonial; Julia Bonn; Kathryn Conger... In: http://www.lrec-conf.org/proceedings/lrec2014/pdf/1012_Paper.pdf BASE Show details

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