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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 Page: 1 2 Hits 1 – 20 of 37 1 Universal Dependencies 2.9 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021 BASE Show details 2 Universal Dependencies 2.8.1 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021 BASE Show details 3 Universal Dependencies 2.8 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021 BASE Show details 4 Universal Dependencies 2.7 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2020 BASE Show details 5 Universal Dependencies 2.6 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2020 BASE Show details 6 Universal Dependencies 2.5 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2019 BASE Show details 7 Universal Dependencies 2.4 Nivre, Joakim; Abrams, Mitchell; Agić, Željko. - : Universal Dependencies Consortium, 2019 BASE Show details 8 Cheating a Parser to Death: Data-driven Cross-Treebank Annotation Transfer Seddah, Djamé; Villemonte de La Clergerie, Éric; Sagot, Benoît... In: Eleventh International Conference on Language Resources and Evaluation (LREC 2018) ; https://hal.inria.fr/hal-01798801 ; Eleventh International Conference on Language Resources and Evaluation (LREC 2018), May 2018, Miyazaki, Japan (2018) BASE Show details 9 Universal Dependencies 2.2 Nivre, Joakim; Abrams, Mitchell; Agić, Željko... In: https://hal.archives-ouvertes.fr/hal-01930733 ; 2018 (2018) BASE Show details 10 Universal Dependencies 2.3 Nivre, Joakim; Abrams, Mitchell; Agić, Željko. - : Universal Dependencies Consortium, 2018 BASE Show details 11 Universal Dependencies 2.2 Nivre, Joakim; Abrams, Mitchell; Agić, Željko. - : Universal Dependencies Consortium, 2018 BASE Show details 12 Annotated corpora and tools of the PARSEME Shared Task on Automatic Identification of Verbal Multiword Expressions (edition 1.1) Ramisch, Carlos; Cordeiro, Silvio Ricardo; Savary, Agata. - : PARSEME, 2018 BASE Show details 13 Benchmarking Joint Lexical and Syntactic Analysis on Multiword-Rich Data Constant, Mathieu; Martinez Alonso, Hector In: Proceedings of the 13th Workshop on Multiword Expressions (MWE 2017) ; MWE 2017 - 13th Workshop on Multiword Expressions ; https://hal.inria.fr/hal-01677416 ; MWE 2017 - 13th Workshop on Multiword Expressions, Apr 2017, Valencia, Spain. pp.181 - 186 (2017) BASE Show details 14 Improving neural tagging with lexical information Sagot, Benoît; Martínez Alonso, Héctor In: 15th International Conference on Parsing Technologies ; https://hal.inria.fr/hal-01592055 ; 15th International Conference on Parsing Technologies, Sep 2017, Pisa, Italy. pp.25-31 ; http://compling.ucdavis.edu/iwpt2017/ (2017) BASE Show details 15 Universal Dependencies 2.1 Nivre, Joakim; Agić, Željko; Ahrenberg, Lars... In: https://hal.inria.fr/hal-01682188 ; 2017 (2017) BASE Show details 16 Annotating omission in statement pairs Martínez Alonso, Héctor; Delamaire, Amaury; Sagot, Benoît In: 11th Linguistic Annotation Workshop ; https://hal.inria.fr/hal-01584035 ; 11th Linguistic Annotation Workshop, Apr 2017, Valencia, Spain. pp.41-45 (2017) Abstract: International audience ; In this piece of industrial application, we focus on the identification of omission in statement pairs for an online news platform. We compare three annotation schemes, namely two crowdsourcing schemes and an expert annotation. The simplest of the two crowdsourcing approaches yields a better annotation quality than the more complex one. We use a dedicated classifier to assess whether the annotators' behaviour can be explained by straightforward linguistic features. However , for our task, we argue that expert and not crowdsourcing-based annotation is the best compromise between cost and quality. Keyword: [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL] URL: https://hal.inria.fr/hal-01584035/file/annotating-omission-statement.pdf https://hal.inria.fr/hal-01584035 https://hal.inria.fr/hal-01584035/document BASE Hide details 17 When is multitask learning effective? Semantic sequence prediction under varying data conditions Martinez Alonso, Hector; Plank, Barbara In: EACL 2017 - 15th Conference of the European Chapter of the Association for Computational Linguistics ; https://hal.inria.fr/hal-01677427 ; EACL 2017 - 15th Conference of the European Chapter of the Association for Computational Linguistics, Apr 2017, Valencia, Spain. pp.1-10 ; http://eacl2017.org/ (2017) BASE Show details 18 Parsing Universal Dependencies without training Martinez Alonso, Hector; Agić, Željko; Plank, Barbara... In: Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, ; EACL 2017 - 15th Conference of the European Chapter of the Association for Computational Linguistics ; https://hal.inria.fr/hal-01677405 ; EACL 2017 - 15th Conference of the European Chapter of the Association for Computational Linguistics, Apr 2017, Valencia, Spain. pp.229 - 239 ; http://eacl2017.org/ (2017) BASE Show details 19 Universal Dependencies 2.0 alpha (obsolete) Nivre, Joakim; Agić, Željko; Ahrenberg, Lars. - : Universal Dependencies Consortium, 2017 BASE Show details 20 Universal Dependencies 2.0 Nivre, Joakim; Agić, Željko; Ahrenberg, Lars. - : Universal Dependencies Consortium, 2017 BASE Show details Page: 1 2

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