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CEM Corporation chemical entity mention recognition task
Chemical Entity Mention Recognition Task, supplied by CEM Corporation, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/chemical+entity+mention+recognition/chemical+entity+mention+recognition/pmc05091336-74-7-6
Average 90 stars, based on 1 article reviews
chemical entity mention recognition task - by Bioz Stars, 2026-10
90/100 stars

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Article Title: CHEMDNER system with mixed conditional random fields and multi-scale word clustering
Article Snippet: Chemical compound and drug name recognition was listed as a task in BioCreative IV [2], and it included two sub-tasks, i.e., indexing of documents with chemicals (chemical document indexing CDI) and finding the mentions of chemicals in text (chemical entity mention recognition CEM).

Article Title: CHEMDNER system with mixed conditional random fields and multi-scale word clustering
Article Snippet: Chemical compound and drug name recognition was listed as a task in BioCreative IV [ ], and it included two sub-tasks, i.e., indexing of documents with chemicals (chemical document indexing - CDI) and finding the mentions of chemicals in text (chemical entity mention recognition - CEM).

Article Title: A document processing pipeline for annotating chemical entities in scientific documents
Article Snippet: This section presents the performance evaluation results obtained on the test portion of the BioCreative IV CHEMDNER task data, for the two sub-tasks proposed in this community evaluation challenge: • Chemical Entity Mention recognition (CEM): for a given document, the aim is to provide the start and end indices for all occurrences of chemical entity names, ranked according to the confidence that the given chunk represents in fact a mention of a chemical entity; • Chemical Document Indexing (CDI): for a given document, the task is to provide a confidence ranked list of individual chemical entities mentioned in the text.

Article Title: Recognition of chemical entities: combining dictionary-based and grammar-based approaches
Article Snippet: The chemical entity mention recognition (CEM) subtask aims at establishing the location of every mentioned chemical entity within a document [ ].

Article Title: The CHEMDNER corpus of chemicals and drugs and its annotation principles
Article Snippet: A machine learning-based system was proposed for chemical entity mention recognition (CEM).

Article Title: Feature Engineering for Drug Name Recognition in Biomedical Texts: Feature Conjunction and Feature Selection
Article Snippet: The CHEMDNER task contains two subtasks: chemical entity mention recognition (CEM) and chemical document indexing (CDI).

Article Title: CHEMDNER system with mixed conditional random fields and multi-scale word clustering
Article Snippet: Chemical compound and drug name recognition was listed as a task in BioCreative IV [2], and it included two sub-tasks, i.e., indexing of documents with chemicals (chemical document indexing - CDI) and finding the mentions of chemicals in text (chemical entity mention recognition - CEM).



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Chemical Entity Mention Recognition Task, supplied by CEM Corporation, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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