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ORCIDClinicalNLP@COLING 2016: Osaka, Japan
- Anna Rumshisky, Kirk Roberts, Steven Bethard, Tristan Naumann:
Proceedings of the Clinical Natural Language Processing Workshop, ClinicalNLP@COLING 2016, Osaka, Japan, December 11, 2016. The COLING 2016 Organizing Committee 2016, ISBN 978-4-87974-710-5 - Rebecka Weegar, Arantza Casillas, Arantza Díaz de Ilarraza, Maite Oronoz, Alicia Pérez, Koldo Gojenola:
The impact of simple feature engineering in multilingual medical NER. 1-6 - Raghavendra Chalapathy, Ehsan Zare Borzeshi, Massimo Piccardi:
Bidirectional LSTM-CRF for Clinical Concept Extraction. 7-12 - Eiji Aramaki, Yoshinobu Kano, Tomoko Ohkuma, Mizuki Morita:
MedNLPDoc: Japanese Shared Task for Clinical NLP. 13-16 - Ji Young Lee, Franck Dernoncourt, Özlem Uzuner, Peter Szolovits:
Feature-Augmented Neural Networks for Patient Note De-identification. 17-22 - Pracheta Sahoo, Asif Ekbal, Sriparna Saha, Diego Mollá Aliod, Nandan Kaushik:
Semi-supervised Clustering of Medical Text. 23-31 - Shweta Yadav, Asif Ekbal, Sriparna Saha, Pushpak Bhattacharyya:
Deep Learning Architecture for Patient Data De-identification in Clinical Records. 32-41 - Sadid A. Hasan, Bo Liu, Joey Liu, Ashequl Qadir, Kathy Lee, Vivek V. Datla, Aaditya Prakash, Oladimeji Farri:
Neural Clinical Paraphrase Generation with Attention. 42-53 - Kirk Roberts:
Assessing the Corpus Size vs. Similarity Trade-off for Word Embeddings in Clinical NLP. 54-63 - Masahito Sakishita, Yoshinobu Kano:
Inference of ICD Codes from Japanese Medical Records by Searching Disease Names. 64-68 - Roland Roller, Hans Uszkoreit, Feiyu Xu, Laura Seiffe, Michael Mikhailov, Oliver Staeck, Klemens Budde, Fabian Halleck, Danilo Schmidt:
A fine-grained corpus annotation schema of German nephrology records. 69-77 - Daisaku Shibata, Shoko Wakamiya, Ayae Kinoshita, Eiji Aramaki:
Detecting Japanese Patients with Alzheimer's Disease based on Word Category Frequencies. 78-85 - Takanori Yamashita, Yoshifumi Wakata, Hidehisa Soejima, Naoki Nakashima, Sachio Hirokawa:
Prediction of Key Patient Outcome from Sentence and Word of Medical Text Records. 86-90 - Markus Kreuzthaler, Michel Oleynik, Alexander Avian, Stefan Schulz:
Unsupervised Abbreviation Detection in Clinical Narratives. 91-98 - Steven Kester Yuwono, Hwee Tou Ng, Kee Yuan Ngiam:
Automated Anonymization as Spelling Variant Detection. 99-103
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