Resultats de la cerca

Aligning context-based statistical models of language with brain activity during reading per Leila Wehbe, Ashish Vaswani, Kevin Knight, Tom M. Mitchell

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Pharmacovigilance from social media: mining adverse drug reaction mentions using sequence labeling with word embedding cluster features per Azadeh Nikfarjam, Abeed Sarker, Karen O’Connor, Rachel Ginn, Graciela Gonzalez‐Hernandez

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Acronym Disambiguation Using Word Embedding per Chao Li, Lei Ji, Jun Yan

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Exploring Word Embedding for Drug Name Recognition per Isabel Segura-Bedmar, Víctor Suárez-Paniagua, Paloma Martı́nez

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A Shortest Dependency Path Based Convolutional Neural Network for Protein-Protein Relation Extraction per Lei Hua, Changqin Quan

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Drug drug interaction extraction from biomedical literature using syntax convolutional neural network per Zhehuan Zhao, Zhihao Yang, Ling Luo, Hongfei Lin, Jian Wang

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Deep learning for pharmacovigilance: recurrent neural network architectures for labeling adverse drug reactions in Twitter posts per Anne Cocos, Alexander G. Fiks, Aaron J. Masino

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Mining e-cigarette adverse events in social media using Bi-LSTM recurrent neural network with word embedding representation per Jiaheng Xie, Xiao Liu, Daniel Zeng

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LSTM-CRF for Drug-Named Entity Recognition per Donghuo Zeng, Chengjie Sun, Lei Lin, Bingquan Liu

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Recurrent neural networks with specialized word embeddings for health-domain named-entity recognition per Iñigo Jauregi Unanue, Ehsan Zare Borzeshi, Massimo Piccardi

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An attention-based effective neural model for drug-drug interactions extraction per Wei Zheng, Hongfei Lin, Ling Luo, Zhehuan Zhao, Zhengguang Li, Yijia Zhang, Zhihao Yang, Jian Wang

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Word Embedding and WordNet Based Metaphor Identification and Interpretation per Rui Mao, Chenghua Lin, Frank Guérin

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Automatic extraction of gene-disease associations from literature using joint ensemble learning per Balu Bhasuran, Jeyakumar Natarajan

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Supervised Learning for Suicidal Ideation Detection in Online User Content per Shaoxiong Ji, Celina P. Yu, Sai-fu Fung, Shirui Pan, Guodong Long

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Semantics derived automatically from language corpora contain human-like biases per Aylin Caliskan, Joanna J. Bryson, Arvind Narayanan

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Recurrent Neural Network for Predicting Transcription Factor Binding Sites per Zhen Shen, Wenzheng Bao, De-Shuang Huang

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Natural language processing and recurrent network models for identifying genomic mutation-associated cancer treatment change from patient progress notes per Meijian Guan, Samuel K. Cho, Robin M. Petro, Zhang We, Boris Pasche, Ümit Topaloğlu

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Drug-Drug Interaction Extraction via Recurrent Hybrid Convolutional Neural Networks with an Improved Focal Loss per Xia Sun, Ke Dong, Long Ma, Richard F. E. Sutcliffe, Feijuan He, Su‐Shing Chen, Jun Feng

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Using word embeddings to expand terminology of dietary supplements on clinical notes per Yadan Fan, Serguei Pakhomov, Reed McEwan, Wendi Zhao, Elizabeth Lindemann, Rui Zhang

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Identifying antimicrobial peptides using word embedding with deep recurrent neural networks per Md-Nafiz Hamid, Iddo Friedberg

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