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LivingNER corpus: Named entity recognition, normalization & classification of species, pathogens and food ...
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Abstract:
LivingNER corpus - training, validation, test and background sets + MULTILINGUAL RESOURCES The LivingNER corpus is a collection of 2000 clinical cases from over 10 different medical areas annotated with SPECIES mentions, that are mapped to NCBI Taxonomy. It is used for the LivingNER Shared Task on occupations and employment status detection and normalization in Spanish medical documents, which will be celebrated as part of IberLEF 2022. Training and validation sets The training set is composed of 1000 clinical case reports extracted from miscellaneous medical specialties including COVID, oncology, infectious diseases, tropical medicine, urology, pediatrics, and others. The files are distributed as follows: - For subtask 1 (LivingNER-Species NER track) , annotations are distributed in a tab-separated file (TSV) file. It has one row per annotation, with the following columns: filename: document name mark: identifier mention mark label: mention type (SPECIES or HUMAN) off0: starting position of the mention in ... : Funded by the Plan de Impulso de las Tecnologías del Lenguaje (Plan TL). ...
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Keyword:
corpus; gold standard; NER; NLP; normalization; species
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URL: https://dx.doi.org/10.5281/zenodo.6376662
https://zenodo.org/record/6376662
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| 2 |
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
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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
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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
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In: https://halshs.archives-ouvertes.fr/halshs-03217972 ; 2021 (2021)
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| 8 |
Sentiment Analysis of Arabic Documents
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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
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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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| 11 |
Event Study: Advanced Machine Learning and Statistical Technique for Analyzing Sustainability in Banking Stocks
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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
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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
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| 14 |
French Contextualized Word-Embeddings with a sip of CaBeRnet: a New French Balanced Reference Corpus
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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 ...
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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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