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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 10 of 10 1 Procedurally Rhetorical Verb-Centric Frame Semantics as a Knowledge Representation for Argumentation Analysis of Biochemistry Articles Alliheedi, Mohammed. - : University of Waterloo, 2019 BASE Show details 2 Knowledge Mapping Analysis on Text Mining Research of Medicine Related Fields in Different Regions Gou, Mengye; ZHAO, Wenlong In: Cross-Cultural Communication; Vol 13, No 9 (2017): Cross-Cultural Communication; 1-9 ; 1923-6700 ; 1712-8358 (2017) BASE Show details 3 Biomedical term extraction: overview and a new methodology Lossio-Ventura, Juan Antonio; Jonquet, Clement; Roche, Mathieu; Teisseire, Maguelonne In: ISSN: 1386-4564 ; EISSN: 1573-7659 ; Information Retrieval Journal ; https://hal-lirmm.ccsd.cnrs.fr/lirmm-01274539 ; Information Retrieval Journal, Springer, 2016, Medical Information Retrieval, 19 (1), pp.59-99. ⟨10.1007/s10791-015-9262-2⟩ (2016) Abstract: International audience ; Terminology extraction is an essential task in domain knowledge acquisition, as well as for Information Retrieval (IR). It is also a mandatory first step aimed at building/enriching terminologies and ontologies. As often proposed in the literature, existing terminology extraction methods feature linguistic and statistical aspects and solve some problems related (but not completely) to term extraction, e.g. noise, silence, low frequency, large-corpora, complexity of the multi-word term extraction process. In contrast, we propose a cutting edge methodology to extract and to rank biomedical terms, covering the all mentioned problems. This methodology offers several measures based on linguistic, statistical, graphic and web aspects. These measures extract and rank candidate terms with excellent precision: we demonstrate that they outperform previously reported precision results for automatic term extraction, and work with different languages (English, French, and Spanish). We also demonstrate how the use of graphs and the web to assess the significance of a term candidate, enables us to outperform precision results. We evaluated our methodology on the biomedical GENIA and LabTestsOnline corpora and compared it with previously reported measures. Keyword: [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM]; [INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR]; [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing; [INFO.INFO-WB]Computer Science [cs]/Web; ACM: H.: Information Systems/H.3: INFORMATION STORAGE AND RETRIEVAL/H.3.3: Information Search and Retrieval; ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.7: Natural Language Processing; ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.7: Natural Language Processing/I.2.7.1: Language generation; ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.7: Natural Language Processing/I.2.7.6: Text analysis; ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.4: Applications/I.5.4.2: Text processing; Automatic Term Extraction; Biomedical Terminology Extraction; BioNLP; Graphs; Natural Language Processing; Text Mining; Web Mining URL: https://hal-lirmm.ccsd.cnrs.fr/lirmm-01274539/document https://hal-lirmm.ccsd.cnrs.fr/lirmm-01274539 https://doi.org/10.1007/s10791-015-9262-2 https://hal-lirmm.ccsd.cnrs.fr/lirmm-01274539/file/manley.pdf BASE Hide details 4 Efficient and sparse feature selection for biomedical text classification via the elastic net: Application to ICU risk stratification from nursing notes. Marafino, Ben J; Boscardin, W John; Dudley, R Adams. - : eScholarship, University of California, 2015 BASE Show details 5 Identification of epistemic topoi in a corpus of biomedical research articles Gladkova, Olga. - 2011 BASE Show details 6 Identification of epistemic topoi in a corpus of biomedical research articles Gladkova, Olga. - : University of Waterloo, 2010 BASE Show details 7 A Method for Stopping Active Learning Based on Stabilizing Predictions and the Need for User-Adjustable Stopping ... Bloodgood, Michael; Vijay-Shanker, K. - : Digital Repository at the University of Maryland, 2009 BASE Show details 8 A Method for Stopping Active Learning Based on Stabilizing Predictions and the Need for User-Adjustable Stopping Bloodgood, Michael; Vijay-Shanker, K. - : Association for Computational Linguistics, 2009 BASE Show details 9 BioChain: Lexical Chaining Methods for Biomedical Text Summarization Lawrence Reeve; Hyoil Han; Ari D. Brooks In: http://www.pages.drexel.edu/~lhr24/pubs/2006SAC-BIO-130.pdf (2006) BASE Show details 10 Applications in pharmacokinetic modeling Arnold, Esther. - : uga, 2003 BASE Show details

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