Resultados de búsqueda - Conditional random fields

TweetLID: a benchmark for tweet language identification. por Zubiaga, Arkaitz, Vicente, Iñaki, Gamallo, Pablo, Pichel, José, Alegria, Iñaki, Aranberri, Nora, Ezeiza, Aitzol, Fresno, Víctor

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FinnPos: an open-source morphological tagging and lemmatization toolkit for Finnish. por Silfverberg, Miikka, Ruokolainen, Teemu, Lindén, Krister, Kurimo, Mikko

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Identifying medical terms in patient-authored text: a crowdsourcing-based approach. por Maclean, Diana Lynn, Heer, Jeffrey

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A flexible framework for recognizing events, temporal expressions, and temporal relations in clinical text. por Roberts, Kirk, Rink, Bryan, Harabagiu, Sanda M

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Combining rules and machine learning for extraction of temporal expressions and events from clinical narratives. por Kovacevic, Aleksandar, Dehghan, Azad, Filannino, Michele, Keane, John A, Nenadic, Goran

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Eventual situations for timeline extraction from clinical reports. por Grouin, Cyril, Grabar, Natalia, Hamon, Thierry, Rosset, Sophie, Tannier, Xavier, Zweigenbaum, Pierre

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Comprehensive temporal information detection from clinical text: medical events, time, and TLINK identification. por Sohn, Sunghwan, Wagholikar, Kavishwar B, Li, Dingcheng, Jonnalagadda, Siddhartha R, Tao, Cui, Komandur Elayavilli, Ravikumar, Liu, Hongfang

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A sequence labeling approach to link medications and their attributes in clinical notes and clinical trial announcements for information extraction. por Li, Qi, Zhai, Haijun, Deleger, Louise, Lingren, Todd, Kaiser, Megan, Stoutenborough, Laura, Solti, Imre

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An end-to-end system to identify temporal relation in discharge summaries: 2012 i2b2 challenge. por Xu, Yan, Wang, Yining, Liu, Tianren, Tsujii, Junichi, Chang, Eric I-Chao

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Named entity recognition of follow-up and time information in 20,000 radiology reports. por Xu, Yan, Tsujii, Junichi, Chang, Eric I-Chao

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Automatic discourse connective detection in biomedical text. por Polepalli Ramesh, Balaji, Prasad, Rashmi, Miller, Tim, Harrington, Brian, Yu, Hong, Ramesh, Balaji Polepalli

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Feature engineering combined with machine learning and rule-based methods for structured information extraction from narrative clinical discharge summaries. por Xu, Yan, Hong, Kai, Tsujii, Junichi, Chang, Eric I-Chao

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Enhancing clinical concept extraction with distributional semantics. por Jonnalagadda S, Cohen T, Wu S, Gonzalez G, Jonnalagadda, Siddhartha, Cohen, Trevor, Wu, Stephen, Gonzalez, Graciela

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A flexible framework for deriving assertions from electronic medical records. por Roberts K, Harabagiu SM, Roberts, Kirk, Harabagiu, Sanda M

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MITRE system for clinical assertion status classification. por Clark C, Aberdeen J, Coarr M, Tresner-Kirsch D, Wellner B, Yeh A, Hirschman L, Clark, Cheryl, Aberdeen, John, Coarr, Matt, Tresner-Kirsch, David, Wellner, Ben, Yeh, Alexander, Hirschman, Lynette

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Hybrid methods for improving information access in clinical documents: concept, assertion, and relation identification. por Minard AL, Ligozat AL, Ben Abacha A, Bernhard D, Cartoni B, Deléger L, Grau B, Rosset S, Zweigenbaum P, Grouin C, Minard, Anne-Lyse, Ligozat, Anne-Laure, Ben Abacha, Asma, Bernhard, Delphine, Cartoni, Bruno, Deléger, Louise, Grau, Brigitte, Rosset, Sophie, Zweigenbaum, Pierre, Grouin, Cyril

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A study of machine-learning-based approaches to extract clinical entities and their assertions from discharge summaries. por Jiang M, Chen Y, Liu M, Rosenbloom ST, Mani S, Denny JC, Xu H, Jiang, Min, Chen, Yukun, Liu, Mei, Rosenbloom, S Trent, Mani, Subramani, Denny, Joshua C, Xu, Hua

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Segmenting retinal vessels with revised top-bottom-hat transformation and flattening of minimum circumscribed ellipse. por Wang, Weihua, Wang, Weiqing, Hu, Zhangping

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Deep learning for automatic Gleason pattern classification for grade group determination of prostate biopsies. por Lucas, Marit, Jansen, Ilaria, Savci-Heijink, C. Dilara, Meijer, Sybren L., de Boer, Onno J., van Leeuwen, Ton G., de Bruin, Daniel M., Marquering, Henk A.

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Brain Tumor Segmentation Based on Improved Convolutional Neural Network in Combination with Non-quantifiable Local Texture Feature. por Deng, Wu, Shi, Qinke, Luo, Kai, Yang, Yi, Ning, Ning

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