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LivingNER corpus: Named entity recognition, normalization & classification of species, pathogens and food ...
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LivingNER corpus: Named entity recognition, normalization & classification of species, pathogens and food ...
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DisTEMIST corpus: detection and normalization of disease mentions in spanish clinical cases ...
Abstract: DisTEMIST corpus: training set + MULTILINGUAL RESOURCES + CROSSMAPPINGS DISTEMIST-entities: complete training set (750 clinical cases) DISTEMIST-linking: part 1 of the training set (209 clinical cases) DISTEMIST-linking: part 2 of the training set (375 clinical cases) Introduction The DisTEMIST corpus is a collection of 1000 clinical cases with disease annotations linked with Snomed-CT concepts. All documents are released in the context of the BioASQ DisTEMIST track for CLEF 2022. For more information about the track and its schedule, please visit the website. File structure: The DisTEMIST corpus has been randomly divided into a training set, containing 750 clinical cases, and a test set (584 in the case of subtrack2), consisting of 250 additional cases. Participants must train their systems using the train set and submit predictions for the test set, on which they will be evaluated. The file structure of the corpus is as follows: train_set: text_files : Folder with plain text files of the clinical cases ... : Funded by the Plan de Impulso de las Tecnologías del Lenguaje (Plan TL). ...
Keyword: corpus; Diseases; Entity Grounding; Entity Linking; gold standard; NER; NLP; normalization
URL: https://zenodo.org/record/6505503
https://dx.doi.org/10.5281/zenodo.6505503
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DisTEMIST corpus: detection and normalization of disease mentions in spanish clinical cases ...
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5
Deep Learning with Word Embedding Improves Kazakh Named-Entity Recognition
In: Information; Volume 13; Issue 4; Pages: 180 (2022)
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6
Analyzing COVID-19 Medical Papers Using Artificial Intelligence: Insights for Researchers and Medical Professionals
In: Big Data and Cognitive Computing; Volume 6; Issue 1; Pages: 4 (2022)
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7
Creating Biographical Networks from Chinese and English Wikipedia
In: https://halshs.archives-ouvertes.fr/halshs-03217972 ; 2021 (2021)
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Sentiment Analysis of Arabic Documents
In: Natural Language Processing for Global and Local Business ; https://hal.archives-ouvertes.fr/hal-03124729 ; Fatih Pinarbasi; M. Nurdan Taskiran. Natural Language Processing for Global and Local Business, pp.307-331, 2021, 9781799842408. ⟨10.4018/978-1-7998-4240-8.ch013⟩ ; https://www.igi-global.com/ (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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10
NameTag 2 Models (2021-09-16)
Straková, Jana; Straka, Milan. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2021
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11
Event Study: Advanced Machine Learning and Statistical Technique for Analyzing Sustainability in Banking Stocks
In: Mathematics; Volume 9; Issue 24; Pages: 3319 (2021)
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12
Ensemble of Deep Masked Language Models for Effective Named Entity Recognition in Health and Life Science Corpora
In: ISSN: 2504-0537 ; Frontiers in research metrics and analytics, Vol. 6 (2021) P. 689803 (2021)
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13
The Comparison Between the Tools for Named Entity Recognition
Zhang, Wenjie. - : Auckland University of Technology, 2020
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14
French Contextualized Word-Embeddings with a sip of CaBeRnet: a New French Balanced Reference Corpus
In: CMLC-8 - 8th Workshop on the Challenges in the Management of Large Corpora ; https://hal.inria.fr/hal-02678358 ; CMLC-8 - 8th Workshop on the Challenges in the Management of Large Corpora, May 2020, Marseille, France ; https://lrec2020.lrec-conf.org/media/proceedings/Workshops/Books/CMLC-8book.pdf (2020)
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UNER: Universal Named-Entity Recognition Framework ...
Alves, Diego. - : Leibniz Universität Hannover (LUH),L3S Research Center,CLEOPATRA ITN, 2020
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Cantemist guidelines: neoplasms morphology annotation and mapping to CIEO-3 ...
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Cantemist guidelines: neoplasms morphology annotation and mapping to CIEO-3 ...
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Cantemist corpus: gold standard of oncology clinical cases annotated with CIE-O 3 terminology ...
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Cantemist corpus: gold standard of oncology clinical cases annotated with CIE-O 3 terminology ...
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Cantemist guidelines: neoplasms morphology annotation and mapping to CIEO-3 ...
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