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ORCIDBioNLP 2017: Vancouver, Canada
- Kevin Bretonnel Cohen, Dina Demner-Fushman, Sophia Ananiadou, Junichi Tsujii:
BioNLP 2017, Vancouver, Canada, August 4, 2017. Association for Computational Linguistics 2017, ISBN 978-1-945626-59-3 - Joel Adams, Steven Bedrick, Gerasimos Fergadiotis, Kyle Gorman
, Jan P. H. van Santen:
Target word prediction and paraphasia classification in spoken discourse. 1-8 - Masaki Asada, Makoto Miwa, Yutaka Sasaki:
Extracting Drug-Drug Interactions with Attention CNNs. 9-18 - Denis Newman-Griffis, Albert M. Lai, Eric Fosler-Lussier:
Insights into Analogy Completion from the Biomedical Domain. 19-28 - Yifan Peng, Zhiyong Lu:
Deep learning for extracting protein-protein interactions from biomedical literature. 29-38 - Nazneen Fatema Rajani, Mihaela A. Bornea, Ken Barker:
Stacking With Auxiliary Features for Entity Linking in the Medical Domain. 39-47 - Anastasios Nentidis, Konstantinos Bougiatiotis, Anastasia Krithara, Georgios Paliouras, Ioannis A. Kakadiaris:
Results of the fifth edition of the BioASQ Challenge. 48-57 - Khyathi Raghavi Chandu, Aakanksha Naik, Aditya Chandrasekar, Zi Yang, Niloy Gupta, Eric Nyberg:
Tackling Biomedical Text Summarization: OAQA at BioASQ 5B. 58-66 - Diego Mollá Aliod:
Macquarie University at BioASQ 5b - Query-based Summarisation Techniques for Selecting the Ideal Answers. 67-75 - Georg Wiese, Dirk Weissenborn, Mariana L. Neves:
Neural Question Answering at BioASQ 5B. 76-79 - Farrokh Mehryary, Kai Hakala, Suwisa Kaewphan, Jari Björne, Tapio Salakoski, Filip Ginter:
End-to-End System for Bacteria Habitat Extraction. 80-90 - Helen Cook, Rudolfs Berzins, Cristina Leal Rodriguez, Juan Miguel Cejuela, Lars Juhl Jensen:
Creation and evaluation of a dictionary-based tagger for virus species and proteins. 91-98 - Arnaud Ferré, Pierre Zweigenbaum, Claire Nédellec:
Representation of complex terms in a vector space structured by an ontology for a normalization task. 99-106 - Bridget T. McInnes, Ted Pedersen:
Improving Correlation with Human Judgments by Integrating Semantic Similarity with Second-Order Vectors. 107-116 - Maolin Li, Nhung T. H. Nguyen, Sophia Ananiadou:
Proactive Learning for Named Entity Recognition. 117-125 - Sudha Rao, Daniel Marcu, Kevin Knight, Hal Daumé III:
Biomedical Event Extraction using Abstract Meaning Representation. 126-135 - Ari Z. Klein, Abeed Sarker, Masoud Rouhizadeh, Karen O'Connor, Graciela Gonzalez:
Detecting Personal Medication Intake in Twitter: An Annotated Corpus and Baseline Classification System. 136-142 - Pieter Fivez, Simon Suster, Walter Daelemans:
Unsupervised Context-Sensitive Spelling Correction of Clinical Free-Text with Word and Character N-Gram Embeddings. 143-148 - Archna Bhatia, Bonnie J. Dorr, Kristy Hollingshead, Samuel Phillips, Barbara McKenzie:
Characterization of Divergence in Impaired Speech of ALS Patients. 149-158 - Wael Salloum, Greg Finley, Erik Edwards, Mark Miller, David Suendermann-Oeft:
Deep Learning for Punctuation Restoration in Medical Reports. 159-164 - Timothy A. Miller, Steven Bethard, Hadi Amiri, Guergana Savova:
Unsupervised Domain Adaptation for Clinical Negation Detection. 165-170 - Rezarta Islamaj Dogan, Andrew Chatr-aryamontri, Sun Kim, Chih-Hsuan Wei, Yifan Peng, Donald C. Comeau, Zhiyong Lu:
BioCreative VI Precision Medicine Track: creating a training corpus for mining protein-protein interactions affected by mutations. 171-175 - Jake Lever, Steven J. Jones:
Painless Relation Extraction with Kindred. 176-183 - Gang Li, Cathy H. Wu, K. Vijay-Shanker:
Noise Reduction Methods for Distantly Supervised Biomedical Relation Extraction. 184-193 - Seth Polsley, Atif Tahir, Muppala Raju, Akintayo Akinleye, Duane Steward:
Role-Preserving Redaction of Medical Records to Enable Ontology-Driven Processing. 194-199 - Wen-wai Yim, Dario Tedesco, Catherine M. Curtin, Tina Hernandez-Boussard:
Annotation of pain and anesthesia events for surgery-related processes and outcomes extraction. 200-205 - Samir Gupta, A. S. M. Ashique Mahmood, Karen Ross, Cathy H. Wu, K. Vijay-Shanker:
Identifying Comparative Structures in Biomedical Text. 206-215 - Subhradeep Kayal, Zubair Afzal, George Tsatsaronis, Sophia Katrenko, Pascal Coupet, Marius A. Doornenbal, Michelle Gregory:
Tagging Funding Agencies and Grants in Scientific Articles using Sequential Learning Models. 216-221 - Sunil Mohan, Nicolas Fiorini, Sun Kim, Zhiyong Lu:
Deep Learning for Biomedical Information Retrieval: Learning Textual Relevance from Click Logs. 222-231 - Vaden Masrani, Gabriel Murray, Thalia Shoshana Field, Giuseppe Carenini:
Detecting Dementia through Retrospective Analysis of Routine Blog Posts by Bloggers with Dementia. 232-237 - Devi Ganesan, Ashish V. Tendulkar, Sutanu Chakraborti:
Protein Word Detection using Text Segmentation Techniques. 238-246 - Wojciech Kusa, Michael Spranger:
External Evaluation of Event Extraction Classifiers for Automatic Pathway Curation: An extended study of the mTOR pathway. 247-256 - Emilia Apostolova, Tom Velez:
Toward Automated Early Sepsis Alerting: Identifying Infection Patients from Nursing Notes. 257-262 - Danchen Zhang, Daqing He, Sanqiang Zhao, Lei Li:
Enhancing Automatic ICD-9-CM Code Assignment for Medical Texts with PubMed. 263-271 - Sam Henry, Clint Cuffy, Bridget T. McInnes:
Evaluating Feature Extraction Methods for Knowledge-based Biomedical Word Sense Disambiguation. 272-281 - Danielle L. Mowery, Brett R. South, Olga V. Patterson, Shu-Hong Zhu, Mike Conway:
Investigating the Documentation of Electronic Cigarette Use in the Veteran Affairs Electronic Health Record: A Pilot Study. 282-286 - Wael Salloum, Greg Finley, Erik Edwards, Mark Miller, David Suendermann-Oeft:
Automated Preamble Detection in Dictated Medical Reports. 287-295 - Mourad Sarrouti, Said Ouatik El Alaoui:
A Biomedical Question Answering System in BioASQ 2017. 296-301 - Kevin Patel, Divya Patel, Mansi Golakiya, Pushpak Bhattacharyya, Nilesh Birari:
Adapting Pre-trained Word Embeddings For Use In Medical Coding. 302-306 - Simon Baker, Anna Korhonen:
Initializing neural networks for hierarchical multi-label text classification. 307-315 - Patchigolla V. S. S. Rahul, Sunil Kumar Sahu, Ashish Anand:
Biomedical Event Trigger Identification Using Bidirectional Recurrent Neural Network Based Models. 316-321 - Chen Lin, Timothy A. Miller, Dmitriy Dligach, Steven Bethard, Guergana Savova:
Representations of Time Expressions for Temporal Relation Extraction with Convolutional Neural Networks. 322-327 - Sarvnaz Karimi, Xiang Dai, Hamed Hassanzadeh, Anthony N. Nguyen:
Automatic Diagnosis Coding of Radiology Reports: A Comparison of Deep Learning and Conventional Classification Methods. 328-332 - Leonardo Campillos Llanos, Sophie Rosset, Pierre Zweigenbaum:
Automatic classification of doctor-patient questions for a virtual patient record query task. 333-341 - Mariana L. Neves, Fabian Eckert, Hendrik Folkerts, Matthias Uflacker:
Assessing the performance of Olelo, a real-time biomedical question answering application. 342-350 - Adyasha Maharana, Meliha Yetisgen:
Clinical Event Detection with Hybrid Neural Architecture. 351-355 - Aakanksha Naik, Christopher Bogart, Carolyn P. Rosé:
Extracting Personal Medical Events for User Timeline Construction using Minimal Supervision. 356-364 - Hans Moen, Kai Hakala, Farrokh Mehryary, Laura-Maria Peltonen, Tapio Salakoski, Filip Ginter, Sanna Salanterä:
Detecting mentions of pain and acute confusion in Finnish clinical text. 365-372 - Zan-Xia Jin, Bo-Wen Zhang, Fan Fang, Le-Le Zhang, Xu-Cheng Yin:
A Multi-strategy Query Processing Approach for Biomedical Question Answering: USTB_PRIR at BioASQ 2017 Task 5B. 373-380
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