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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 ...
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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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8
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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9
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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15
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 ...
Abstract: The Cantemist corpus was manually annotated by clinical experts following the Cantemist guidelines. These guidelines contain rules for annotating morphology neoplasms in Spanish oncology clinical cases; as well as for mapping these annotations to CIEO-3 (Spanish version of ICD-O-3). Guidelines were created de novo by clinical experts in three phases: First, a zero version of guidelines after the clinical experts reviewed neoplasm morphology annotations in SPACCC corpus see Codiesp guidelines(https://zenodo.org/record/3730567). Second, a stable version of guidelines was reached while annotating sample sets of Cantemist corpus iteratively until quality control was satisfactory. Third, guidelines are iteratively refined as manual annotation continues. Please cite if you use this resource: Miranda-Escalada, A., Farré, E., & Krallinger, M. (2020). Named entity recognition, concept normalization and clinical coding: Overview of the cantemist track for cancer text mining in spanish, corpus, guidelines, methods ... : Funded by the Plan de Impulso de las Tecnologías del Lenguaje (Plan TL). ...
Keyword: annotatation; cieo; clinical; guidelines; ICD-O; neoplasm morphology; NER; NLP; normalization; oncology
URL: https://dx.doi.org/10.5281/zenodo.3878178
https://zenodo.org/record/3878178
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