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ORCIDBioNLP 2018: Melbourne, Australia
- Dina Demner-Fushman, Kevin Bretonnel Cohen, Sophia Ananiadou, Junichi Tsujii:
Proceedings of the BioNLP 2018 workshop, Melbourne, Australia, July 19, 2018. Association for Computational Linguistics 2018, ISBN 978-1-948087-33-9 - Denis Newman-Griffis
, Ayah Zirikly:
Embedding Transfer for Low-Resource Medical Named Entity Recognition: A Case Study on Patient Mobility. 1-11 - Serena Jeblee, Mireille Gomes, Graeme Hirst:
Multi-task learning for interpretable cause of death classification using key phrase prediction. 12-17 - Thanat Chokwijitkul, Anthony N. Nguyen, Hamed Hassanzadeh, Siegfried Perez:
Identifying Risk Factors For Heart Disease in Electronic Medical Records: A Deep Learning Approach. 18-27 - Ilham Fathy Saputra, Rahmad Mahendra, Alfan Farizki Wicaksono:
Keyphrases Extraction from User-Generated Contents in Healthcare Domain Using Long Short-Term Memory Networks. 28-34 - Jurica Seva, Martin Wackerbauer, Ulf Leser:
Identifying Key Sentences for Precision Oncology Using Semi-Supervised Learning. 35-46 - Lucy Lu Wang, Chandra Bhagavatula, Mark Neumann, Kyle Lo, Chris Wilhelm, Waleed Ammar:
Ontology alignment in the biomedical domain using entity definitions and context. 47-55 - Dieter Galea, Ivan Laponogov, Kirill A. Veselkov:
Sub-word information in pre-trained biomedical word representations: evaluation and hyper-parameter optimization. 56-66 - Di Jin, Peter Szolovits:
PICO Element Detection in Medical Text via Long Short-Term Memory Neural Networks. 67-75 - Nan Wang, Yan Song, Fei Xia:
Coding Structures and Actions with the COSTA Scheme in Medical Conversations. 76-86 - Jonas Pfeiffer, Samuel Broscheit, Rainer Gemulla, Mathias Göschl:
A Neural Autoencoder Approach for Document Ranking and Query Refinement in Pharmacogenomic Information Retrieval. 87-97 - Jari Björne, Tapio Salakoski:
Biomedical Event Extraction Using Convolutional Neural Networks and Dependency Parsing. 98-108 - Vasu Sharma, Nitish Kulkarni, Srividya Pranavi, Gabriel Bayomi, Eric Nyberg, Teruko Mitamura:
BioAMA: Towards an End to End BioMedical Question Answering System. 109-117 - Manirupa Das, Eric Fosler-Lussier, Simon M. Lin, Soheil Moosavinasab, David Chen, Steve Rust, Yungui Huang, Rajiv Ramnath:
Phrase2VecGLM: Neural generalized language model-based semantic tagging for complex query reformulation in medical IR. 118-128 - Dat Quoc Nguyen, Karin Verspoor:
Convolutional neural networks for chemical-disease relation extraction are improved with character-based word embeddings. 129-136 - Miaofeng Liu, Jialong Han, Haisong Zhang, Yan Song:
Domain Adaptation for Disease Phrase Matching with Adversarial Networks. 137-141 - Mohamad Salimi, Alla Rozovskaya:
Predicting Discharge Disposition Using Patient Complaint Notes in Electronic Medical Records. 142-146 - Qiuyue Wang, Xiaofeng Meng:
Bacteria and Biotope Entity Recognition Using A Dictionary-Enhanced Neural Network Model. 147-150 - Lana Yeganova, Donald C. Comeau, Won Kim, W. John Wilbur, Zhiyong Lu:
SingleCite: Towards an improved Single Citation Search in PubMed. 151-155 - Mengnan Zhao, Aaron J. Masino, Christopher C. Yang:
A Framework for Developing and Evaluating Word Embeddings of Drug-named Entity. 156-160 - Won Kim, Lana Yeganova, Donald C. Comeau, W. John Wilbur, Zhiyong Lu:
MeSH-based dataset for measuring the relevance of text retrieval. 161-165 - Kaiyin Zhou, Sheng Zhang, Xiangyu Meng, Qi Luo, Yuxing Wang, Ke Ding, Yukun Feng, Mo Chen, Kevin Cohen, Jingbo Xia:
CRF-LSTM Text Mining Method Unveiling the Pharmacological Mechanism of Off-target Side Effect of Anti-Multiple Myeloma Drugs. 166-171 - Masatoshi Nagata, Kohichi Takai, Keiji Yasuda, Panikos Heracleous, Akio Yoneyama:
Prediction Models for Risk of Type-2 Diabetes Using Health Claims. 172-176 - Yaqiang Wang, Yunhui Chen, Hongping Shu, Yongguang Jiang:
On Learning Better Embeddings from Chinese Clinical Records: Study on Combining In-Domain and Out-Domain Data. 177-182 - Hai-Long Trieu, Nhung T. H. Nguyen, Makoto Miwa, Sophia Ananiadou:
Investigating Domain-Specific Information for Neural Coreference Resolution on Biomedical Texts. 183-188 - Sara Rosenthal, Adam Faulkner:
Toward Cross-Domain Engagement Analysis in Medical Notes. 189-193
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