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Towards Bootstrapping a Polarity Shifter Lexicon using Linguistic Features ...
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Towards Bootstrapping a Polarity Shifter Lexicon using Linguistic Features ...
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Bootstrapped Lexicon of English Verbal Polarity Shifters ...
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Bootstrapped Lexicon of English Verbal Polarity Shifters ...
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Human and machine judgements for Russian semantic relatedness
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In: Commun. Comput. Info. Sci. ; Communications in Computer and Information Science (2017)
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Watset: Automatic induction of synsets from a graph of synonyms
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In: ACL 2017 - 55th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (Long Papers) (2017)
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Enjeux et perspectives de la lexicographie collaborative
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In: Dictionnaires, culture numérique et décentralisation de la norme dans l’espace francophone ; https://halshs.archives-ouvertes.fr/halshs-01393132 ; Dictionnaires, culture numérique et décentralisation de la norme dans l’espace francophone, Sep 2016, Montréal, Canada (2016)
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LexFr: Adapting the LexIt Framework to Build a Corpus-Based French Subcategorization Lexicon
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In: Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16) ; https://hal.archives-ouvertes.fr/hal-03312844 ; Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16), May 2016, Portorož, Slovenia. pp.930-937 (2016)
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Word2Vec vs DBnary: Augmenting METEOR using Vector Representations or Lexical Resources?
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In: 26th International Conference on Computational Linguistics (COLING 2016) ; COLING 2016 ; https://hal.archives-ouvertes.fr/hal-01376948 ; COLING 2016, ANLP & ICCL, Dec 2016, Osaka, Japan (2016)
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A new method for interoperability between lexical resources using MDA approach
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In: AISI 2016 The 2nd International Conference on Advanced Intelligent Systems and Informatics ; https://hal.inria.fr/hal-01350524 ; AISI 2016 The 2nd International Conference on Advanced Intelligent Systems and Informatics, Oct 2016, Cairo, Egypt ; http://egyptscience.net/AISI2016/home.html (2016)
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Semantic Interoperability of Multilingual Lexical Resources in Lexical Linked Data ; Interopérabilité Sémantique Multi-lingue des Ressources Lexicales en Données Liées Ouvertes
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In: https://tel.archives-ouvertes.fr/tel-01681358 ; Informatique et langage [cs.CL]. Université Grenoble Alpes, 2016. Français. ⟨NNT : 2016GREAM067⟩ (2016)
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Semantic Interoperability of Multilingual Lexical Resources as Lexical Linked Data ; Interopérabilité sémantique multilingue des ressources lexicales en données lexicales liées ouvertes
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In: https://tel.archives-ouvertes.fr/tel-01425123 ; Intelligence artificielle [cs.AI]. Université Grenoble Alpes, 2016. Français (2016)
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Generación de recursos para Análisis de Opiniones en español
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СЕМАНТИКО-СТИЛИСТИЧЕСКАЯ СПЕЦИФИКА НЕОЛОГИЗМОВ В ИНТЕРНЕТ-РЕСУРСАХ (НА МАТЕРИАЛАХ САЙТА NONAME)
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БЕЛЬКОВА А.Е.. - : Индивидуальный предприниматель Соколова Марина Владимировна, 2015
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Approches multidisciplinaires pour l'étude du lexique et la construction de ressources lexicales nouvelles
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In: https://hal-amu.archives-ouvertes.fr/tel-01756971 ; Linguistique. Aix Marseille Université, 2015 (2015)
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Galnet: o WordNet do galego. Aplicacións lexicolóxicas e terminolóxicas ; Galnet: the Galician WordNet. Applications in the fields of lexicology and terminology
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A Language-Aware web will give us a bigger and better semantic web
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Abstract:
The role of natural language is becoming in these years a more and more acknowledged aspect of the Semantic Web. Not limited to mere modeling and representation proposals, but backed by concrete use-cases and scenarios, the use of natural language is emerging through a plethora of approaches and solutions. Now that we have languages and protocols for modeling and publishing content, for querying, and for efficiently describing datasets and repositories (metadata), it is time for natural language to regain its due space and become a first-class-citizen in the Web of Data. Lexical resources need to comply with standard, unifying vocabularies upon which they can be discovered, chosen, evaluated and ultimately queried upon need. At the same time, NLP systems and components should pull their head out of their esoteric corner and become classifiable, discoverable and interactive elements in the Semantic Web, so that many language related tasks can be carried on more easily thanks to coordinating modules/agents sensible to this information. In this position paper, I will provide by first a quick outlook into the last years of language and ontologies and describe what the community has achieved by the state-of-the-art. I will then discuss open points, and try to draw conclusions, based on my perspective and contributions to this research field, towards the future of a more Language-Aware Semantic Web.
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Keyword:
computational linguistics; Internet protocols; lexical resources; modeling languages interactive elements; natural languages; NLP systems; position papers; research fields; semantic Web; Settore INF/01 - Informatica; Settore ING-INF/05 - Sistemi di Elaborazione delle Informazioni; state of the art; Web of datum engineering main heading
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URL: http://ceur-ws.org/Vol-1532/paper1.pdf http://hdl.handle.net/2108/166118
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Word Sense Disambiguation Based on Large Scale Polish CLARIN Heterogeneous Lexical Resources
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In: Cognitive Studies | Études cognitives; No 15 (2015); 269-292 ; 2392-2397 (2015)
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Bulgarian-Polish Language Resources (Current State and Future Development)
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In: Cognitive Studies | Études cognitives; No 13 (2013); 161-170 ; 2392-2397 (2015)
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