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Hierarchical-Task Reservoir for Online Semantic Analysis from Continuous Speech
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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)
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Training corpus ssj500k 2.1
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Krek, Simon; Dobrovoljc, Kaja; Erjavec, Tomaž; Može, Sara; Ledinek, Nina; Holz, Nanika; Zupan, Katja; Gantar, Polona; Kuzman, Taja; Čibej, Jaka; Arhar Holdt, Špela; Kavčič, Teja; Škrjanec, Iza; Marko, Dafne; Jezeršek, Lucija; Zajc, Anja. - : Centre for Language Resources and Technologies, University of Ljubljana, 2018
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Abstract:
The ssj500k training corpus contains about 500,000 tokens manually annotated on the levels of tokenisation, sentence segmentation, morphosyntactic tagging, and lemmatisation. About half of the corpus is also manually annotated with syntactic dependencies, named entities, and verbal multiword expressions. About a quarter of the corpus is annotated with semantic role labels. The annotations of the ssj500k corpus follow (1) the MULTEXT-East V5 morphosyntactic specifications for Slovene, http://nl.ijs.si/ME/V5/msd/, (2) the JOS dependency schema, http://nl.ijs.si/jos/bib/jos-skladnja-navodila.pdf, (3) the Janes annotation guidelines for Slovenian named entities, http://nl.ijs.si/janes/wp-content/uploads/2017/09/SlovenianNER-eng-v1.1.pdf, and (4) the Guidelines of the PARSEME shared task on verbal multiword expressions, http://parsemefr.lif.univ-mrs.fr/parseme-st-guidelines/1.1/ The vocabulary of (1) and (2) is provided in the back element and (3) and (4) in the teiHeader of the TEI encoded corpus. The semantic role labels are also documented in the teiHeader.
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Keyword:
dependency treebank; manual annotation; named entities; parsing; semantic role labelling; tagging; TEI; tokenisation; verbal multiword expressions
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URL: http://hdl.handle.net/11356/1181
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| 7 |
More than Word Cooccurrence: Exploring Support and Opposition in International Climate Negotiations with Semantic Parsing
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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)
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Global methods for cross-lingual semantic role and predicate labelling
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In: International Conference on Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-01838563 ; International Conference on Computational Linguistics, Jan 2014, Dublin, Ireland (2014)
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| 9 |
Utilisation de représentations de mots pour l’étiquetage de rôles sémantiques suivant FrameNet
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| 10 |
Noun/Verb Inference
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In: http://hal.inria.fr/docs/00/43/87/31/PDF/ltc-036-bedaride.pdf (2009)
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| 11 |
Noun/Verb Inference
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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)
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| 12 |
Natural language understanding in controlled virtual environments
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| 13 |
PropBank: Semantics of New Predicate Types
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In: http://www.lrec-conf.org/proceedings/lrec2014/pdf/1012_Paper.pdf
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