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Towards combined semantic and lexical scores based on a new representation of textual data to extract experimental data from scientific publications
In: ISSN: 1751-5858 ; EISSN: 1751-5866 ; International Journal of Intelligent Information and Database Systems ; https://hal.inrae.fr/hal-03616243 ; International Journal of Intelligent Information and Database Systems, Inderscience, 2022, 15 (1), pp.78. ⟨10.1504/IJIIDS.2022.120146⟩ (2022)
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Assessing the impact of OCR noise on multilingual event detection over digitised documents
In: ISSN: 1432-5012 ; EISSN: 1432-1300 ; International Journal on Digital Libraries ; https://hal.archives-ouvertes.fr/hal-03635985 ; International Journal on Digital Libraries, Springer Verlag, 2022, ⟨10.1007/s00799-022-00325-2⟩ (2022)
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Introducing the HIPE 2022 Shared Task: Named Entity Recognition and Linking in Multilingual Historical Documents
In: Advances in Information Retrieval. 44th European Conference on IR Research, ECIR 2022, Stavanger, Norway, April 10–14, 2022, Proceedings, Part II ; https://hal.archives-ouvertes.fr/hal-03635971 ; Matthias Hagen; Suzan Verberne; Craig Macdonald; Christin Seifert; Krisztian Balog; Kjetil Nørvåg; Vinay Setty. Advances in Information Retrieval. 44th European Conference on IR Research, ECIR 2022, Stavanger, Norway, April 10–14, 2022, Proceedings, Part II, 13186, Springer International Publishing, pp.347-354, 2022, Lecture Notes in Computer Science, 978-3-030-99738-0. ⟨10.1007/978-3-030-99739-7_44⟩ (2022)
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HIPE-2022 Shared Task Named Entity Datasets ...
Abstract: HIPE-2022 datasets used for the HIPE 2022 shared task on named entity recognition and classification (NERC) and entity linking (EL) in multilingual historical documents . HIPE-2022 datasets are based on six primary datasets assembled and prepared for the shared task. Primary datasets are composed of historical newspapers and classic commentaries covering ca. 200 years, feature several languages and different entity tag sets and annotation schemes. They originate from several European cultural heritage projects, from HIPE organizers’ previous research project, and from the previous HIPE-2020 campaign. Some are already published, others are released for the first time for HIPE-2022. The HIPE-2022 shared task assembles and prepares these primary datasets in HIPE-2022 release(s), which correspond to a single package composed of neatly structured and homogeneously formatted files. Primary datasets undergo the following preparation steps: conversion to the HIPE format (with correction of data inconsistencies and ... : New releases are planned. Check the HIPE-2022 website for updates. ...
Keyword: Digital Humanities; Evaluation; Historical Documents; Information Extraction; Named Entity Linking; Named Entity Recognition
URL: https://dx.doi.org/10.5281/zenodo.6089968
https://zenodo.org/record/6089968
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HIPE-2022 Shared Task Named Entity Datasets ...
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HIPE-2022 Shared Task Named Entity Datasets ...
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HIPE-2022 Shared Task Named Entity Datasets ...
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Text Mining from Free Unstructured Text: An Experiment of Time Series Retrieval for Volcano Monitoring
In: Applied Sciences; Volume 12; Issue 7; Pages: 3503 (2022)
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Sentence Boundary Extraction from Scientific Literature of Electric Double Layer Capacitor Domain: Tools and Techniques
In: Applied Sciences; Volume 12; Issue 3; Pages: 1352 (2022)
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10
Analysis of the Full-Size Russian Corpus of Internet Drug Reviews with Complex NER Labeling Using Deep Learning Neural Networks and Language Models
In: Applied Sciences; Volume 12; Issue 1; Pages: 491 (2022)
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11
Experiences on the Improvement of Logic-Based Anaphora Resolution in English Texts
In: Electronics; Volume 11; Issue 3; Pages: 372 (2022)
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Semantic pattern discovery in open information extraction
Chauhan, Aabhas. - 2022
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Topic models do not model topics: epistemological remarks and steps towards best practices
In: EISSN: 2416-5999 ; Journal of Data Mining and Digital Humanities ; https://hal.archives-ouvertes.fr/hal-03261599 ; Journal of Data Mining and Digital Humanities, Episciences.org, 2021, 2021, ⟨10.46298/jdmdh.7595⟩ (2021)
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Indirectly Named Entity Recognition ; Reconnaissance d'entités indirectement nommées
In: ISSN: 2530-9455 ; Journal of Computer-Assisted Linguistic Research (JCLR) ; https://hal.archives-ouvertes.fr/hal-03476411 ; Journal of Computer-Assisted Linguistic Research (JCLR), Universitat Politècnica de València, 2021, 5 (1), pp.27-46. ⟨10.4995/JCLR.2021.15922⟩ ; https://polipapers.upv.es/index.php/jclr/index (2021)
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Atténuer les erreurs de numérisation dans la reconnaissance d'entités nommées pour les documents historiques
In: Conférence en Recherche d'Informations et Applications (CORIA 2021) ; https://hal.archives-ouvertes.fr/hal-03320332 ; Conférence en Recherche d'Informations et Applications (CORIA 2021), ARIA : Association Francophone de Recherche d’Information (RI) et Applications, Apr 2021, Grenoble (virtuel), France. pp.1 - 7 ; http://coria.asso-aria.org/2021/articles/mini_24/main.pdf (2021)
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WEIR-P: An Information Extraction Pipeline for the Wastewater Domain
In: RCIS 2021 - 5th International Conference on Research Challenges in Information Science ; https://hal.archives-ouvertes.fr/hal-03211461 ; RCIS 2021 - 5th International Conference on Research Challenges in Information Science, May 2021, Virtual, Cyprus (2021)
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Mapping the evolution of topics published by Education for Information. Interdisciplinary Journal of Information Studies
In: ISSN: 0167-8329 ; Education for Information ; https://hal.archives-ouvertes.fr/hal-03392553 ; Education for Information, IOS Press, 2021 (2021)
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LILLIE : information extraction and database integration using linguistics and learning-based algorithms ...
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Exploring Construction of a Company Domain-Specific Knowledge Graph from Financial Texts Using Hybrid Information Extraction
Jen, Chun-Heng. - : KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021
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Arabic question answering system: a survey
Azmi, Aqil M.; Cambria, Erik; Hussain, Amir. - : Springer, 2021
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