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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)
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2	Training corpus ssj500k 2.3
	Krek, Simon; Dobrovoljc, Kaja; Erjavec, Tomaž. - : Centre for Language Resources and Technologies, University of Ljubljana, 2021
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3	Training corpus ssj500k 2.2
	Krek, Simon; Dobrovoljc, Kaja; Erjavec, Tomaž. - : Centre for Language Resources and Technologies, University of Ljubljana, 2019
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4	Training corpus ssj500k 2.1
	Krek, Simon; Dobrovoljc, Kaja; Erjavec, Tomaž. - : Centre for Language Resources and Technologies, University of Ljubljana, 2018
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5	Training corpus hr500k 1.0
	Ljubešić, Nikola; Agić, Željko; Klubička, Filip. - : Jožef Stefan Institute, 2018
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6	Neural Models for Large-Scale Semantic Role Labelling
	FitzGerald, Nicholas Arthur. - 2018
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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)
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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)
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9	Utilisation de représentations de mots pour l’étiquetage de rôles sémantiques suivant FrameNet
	Léchelle, William. - 2014
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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)
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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)
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12	Natural language understanding in controlled virtual environments
	YE, PATRICK. - 2009
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13	PropBank: Semantics of New Predicate Types
	Claire Bonial; Julia Bonn; Kathryn Conger; Jena D. Hwang; Martha Palmer
	In: http://www.lrec-conf.org/proceedings/lrec2014/pdf/1012_Paper.pdf
	Abstract: This research focuses on expanding PropBank, a corpus annotated with predicate argument structures, with new predicate types; namely, noun, adjective and complex predicates, such as Light Verb Constructions. This effort is in part inspired by a sister project to PropBank, the Abstract Meaning Representation project, which also attempts to capture “who is doing what to whom ” in a sentence, but does so in a way that abstracts away from syntactic structures. For example, alternate realizations of a destroying event in the form of either the verb destroy or the noun destruction would receive the same Abstract Meaning Representation. In order for PropBank to reach the same level of coverage and continue to serve as the bedrock for Abstract Meaning Representation, predicate types other than verbs, which have previously gone without annotation, must be annotated. This research describes the challenges therein, including the development of new annotation practices that walk the line between abstracting away from language-particular syntactic facts to explore deeper semantics, and maintaining the connection between semantics and syntactic structures that has proven to be very valuable for PropBank as a corpus of training data for Natural Language Processing applications.
	Keyword: Natural Language Processing; Predicate semantics; Semantic role labelling; Syntax
	URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.680.5855 http://www.lrec-conf.org/proceedings/lrec2014/pdf/1012_Paper.pdf
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