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Toward Creation of Ancash Quechua Lexical Resources from OCR
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In: Proceedings of the First Workshop on Natural Language Processing for Indigenous Languages of the Americas ; Natural Language Processing for Indigenous Languages of the Americas (AmericasNLP). Proceedings of the First Workshop ; https://hal.archives-ouvertes.fr/hal-03610330 ; Natural Language Processing for Indigenous Languages of the Americas (AmericasNLP). Proceedings of the First Workshop, The Association for Computational Linguistics, pp.163-167, 2021, 978-1-954085-44-2 ; https://aclanthology.org/2021.americasnlp-1.pdf (2021)
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Toward Creation of Ancash Quechua Lexical Resources from OCR
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In: Proceedings of the First Workshop on Natural Language Processing for Indigenous Languages of the Americas ; Natural Language Processing for Indigenous Languages of the Americas (AmericasNLP). Proceedings of the First Workshop ; https://hal.archives-ouvertes.fr/hal-03610330 ; Natural Language Processing for Indigenous Languages of the Americas (AmericasNLP). Proceedings of the First Workshop, The Association for Computational Linguistics, pp.163-167, 2021, 978-1-954085-44-2 ; https://aclanthology.org/2021.americasnlp-1.pdf (2021)
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Adapting a Pre-Neural Named Entity Recognizer and Linker to Historical Data
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In: CEUR Workshop Proceedings Conference and Labs of the Evaluation Forum ; https://hal-inalco.archives-ouvertes.fr/hal-03613392 ; CEUR Workshop Proceedings Conference and Labs of the Evaluation Forum, Sep 2020, Thessalonoki, Greece (2020)
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NLU-Co at SemEval-2020 Task 5: NLU/SVM based model apply to characterise and extract counterfactual items on raw data
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In: COLING ; SemEval-2020 (International Workshop on Semantic Evaluation 2020) ; https://hal.archives-ouvertes.fr/hal-03119450 ; SemEval-2020 (International Workshop on Semantic Evaluation 2020), Dec 2020, Barcelone, Spain. pp.670-676 ; https://www.aclweb.org/anthology/2020.semeval-1.87 (2020)
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Adapting a Pre-Neural Named Entity Recognizer and Linker to Historical Data
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In: CEUR Workshop Proceedings Conference and Labs of the Evaluation Forum ; https://hal-inalco.archives-ouvertes.fr/hal-03613392 ; CEUR Workshop Proceedings Conference and Labs of the Evaluation Forum, Sep 2020, Thessalonoki, Greece (2020)
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NLU-Co at SemEval-2020 Task 5: NLU/SVM based model apply to characterise and extract counterfactual items on raw data
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In: COLING ; SemEval-2020 (International Workshop on Semantic Evaluation 2020) ; https://hal.archives-ouvertes.fr/hal-03119450 ; SemEval-2020 (International Workshop on Semantic Evaluation 2020), Dec 2020, Barcelone, Spain. pp.670-676 ; https://www.aclweb.org/anthology/2020.semeval-1.87 (2020)
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Méthodologie et outils pour la numérisation des langues peu dotées ; Méthodologie et outils pour la numérisation des langues peu dotées : DIGITAL ARMENIAN
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In: https://hal.campus-aar.fr/hal-02868920 ; 2019 (2019)
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Vers une ontologie de la nomination et de la référence dédiée à l'annotation des textes
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In: 13rd Terminology & Ontology: Theories and applications (TOTh) International Conference ; https://hal.archives-ouvertes.fr/hal-02269154 ; 13rd Terminology & Ontology: Theories and applications (TOTh) International Conference, Jun 2019, Chambéry, France (2019)
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Analysis and Automatic Processing of Discourse
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In: Corpus Linguistics (CL2019) ; https://hal.archives-ouvertes.fr/hal-02377077 ; Corpus Linguistics (CL2019), Jul 2019, Cardiff, United Kingdom (2019)
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Vers une ontologie de la nomination et de la référence dédiée à l'annotation des textes
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In: 13rd Terminology & Ontology: Theories and applications (TOTh) International Conference ; https://hal.archives-ouvertes.fr/hal-02269154 ; 13rd Terminology & Ontology: Theories and applications (TOTh) International Conference, Jun 2019, Chambéry, France (2019)
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Analysis and Automatic Processing of Discourse
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In: Corpus Linguistics (CL2019) ; https://hal.archives-ouvertes.fr/hal-02377077 ; Corpus Linguistics (CL2019), Jul 2019, Cardiff, United Kingdom (2019)
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Méthodologie et outils pour la numérisation des langues peu dotées ; Méthodologie et outils pour la numérisation des langues peu dotées : DIGITAL ARMENIAN
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In: https://hal.campus-aar.fr/hal-02868920 ; 2019 (2019)
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A Bambara Tonalization System for Word Sense Disambiguation Using Differential Coding, Segmentation and Edit Operation Filtering
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In: Proceedings of the The 8th International Joint Conference on Natural Language Processing ; The 8th International Joint Conference on Natural Language Processing (IJCNLP 2017) ; https://hal.archives-ouvertes.fr/hal-01685393 ; The 8th International Joint Conference on Natural Language Processing (IJCNLP 2017), Nov 2017, Taipei, Taiwan. pp.694 - 703 (2017)
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Une approche linguistique pour la détection des dialectes arabes
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In: Actes de TALN 2017 ; 2017-06-26 ; https://hal.archives-ouvertes.fr/hal-02012244 ; 2017-06-26, 2017, Orléans, France (2017)
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Detecting Influencial Users in Social Networks: Analysing Graph-Based and Linguistic Perspectives
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In: IFIP Advances in Information and Communication Technology ; 5th IFIP International Workshop on Artificial Intelligence for Knowledge Management (AI4KM) ; https://hal.inria.fr/hal-02517698 ; 5th IFIP International Workshop on Artificial Intelligence for Knowledge Management (AI4KM), Aug 2017, Melbourne, VIC, Australia. pp.113-131, ⟨10.1007/978-3-030-29904-0_9⟩ (2017)
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A Bambara Tonalization System for Word Sense Disambiguation Using Differential Coding, Segmentation and Edit Operation Filtering
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In: Proceedings of the The 8th International Joint Conference on Natural Language Processing ; The 8th International Joint Conference on Natural Language Processing (IJCNLP 2017) ; https://hal.archives-ouvertes.fr/hal-01685393 ; The 8th International Joint Conference on Natural Language Processing (IJCNLP 2017), Nov 2017, Taipei, Taiwan. pp.694 - 703 (2017)
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Abstract:
International audience ; In many languages such as Bambara or Arabic, tone markers (diacritics) may be written but are actually often omitted. NLP applications are confronted to ambiguities and subsequent difficulties when processing texts. To circumvent this problem , tonalization may be used, as a word sense disambiguation task, relying on context to add diacritics that partially disam-biguate words as well as senses. In this paper , we describe our implementation of a Bambara tonalizer that adds tone markers using machine learning (CRFs). To make our tool efficient, we used differential coding , word segmentation and edit operation filtering. We describe our approach that allows tractable machine learning and improves accuracy: our model may be learned within minutes on a 358K-word corpus and reaches 92.3% accuracy.
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Keyword:
[INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]; ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.7: Natural Language Processing
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URL: https://hal.archives-ouvertes.fr/hal-01685393/document https://hal.archives-ouvertes.fr/hal-01685393 https://hal.archives-ouvertes.fr/hal-01685393/file/I17-1070.pdf
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Named Entity Resources - Overview and Outlook
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In: Language Resources and Evaluation ; https://hal-inalco.archives-ouvertes.fr/hal-01359441 ; Language Resources and Evaluation, 2016, Portorož, Slovenia (2016)
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ReadME generation from an OWL ontology describing NLP tools
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In: Proceedings of the 2nd International Workshop on Natural Language Generation and the Semantic Web (WebNLG), ; Natural Language Generation and the Semantic Web ; https://hal-inalco.archives-ouvertes.fr/hal-01425724 ; Natural Language Generation and the Semantic Web, Sep 2016, Edinburgh, United Kingdom. pp.46 - 49, ⟨10.18653/v1/W16-3509⟩ (2016)
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