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ORCIDBioNLP@ACL 2016: Berlin, Germany
- Kevin Bretonnel Cohen, Dina Demner-Fushman, Sophia Ananiadou, Jun'ichi Tsujii:
Proceedings of the 15th Workshop on Biomedical Natural Language Processing, BioNLP@ACL 2016, Berlin, Germany, August 12, 2016. Association for Computational Linguistics 2016, ISBN 978-1-945626-12-8 - José M. Castaño, Maria Laura Gambarte, Hee Joon Park, Maria del Pilar Avila Williams, David Pérez-Rey, Fernando Campos, Daniel R. Luna, Sonia E. Benitez, Hernán Berinsky, Sofía Zanetti:
A Machine Learning Approach to Clinical Terms Normalization. 1-11 - Mohammad Taher Pilehvar, Nigel Collier
:
Improved Semantic Representation for Domain-Specific Entities. 12-16 - Chaitanya Shivade, Marie-Catherine de Marneffe, Eric Fosler-Lussier, Albert M. Lai:
Identification, characterization, and grounding of gradable terms in clinical text. 17-26 - Golnar Sheikhshab, Elizabeth Starks, Aly Karsan, Anoop Sarkar, Inanç Birol:
Graph-based Semi-supervised Gene Mention Tagging. 27-35 - Dayne Freitag, John Niekrasz:
Feature Derivation for Exploitation of Distant Annotation via Pattern Induction against Dependency Parses. 36-45 - Halil Kilicoglu:
Inferring Implicit Causal Relationships in Biomedical Literature. 46-55 - Marco Antonio Valenzuela-Escárcega, Gus Hahn-Powell, Dane Bell, Mihai Surdeanu:
SnapToGrid: From Statistical to Interpretable Models for Biomedical Information Extraction. 56-65 - Ritambhara Singh, Yanjun Qi:
Character based String Kernels for Bio-Entity Relation Detection. 66-71 - Amy Siu, Patrick Ernst, Gerhard Weikum:
Disambiguation of entities in MEDLINE abstracts by combining MeSH terms with knowledge. 72-76 - Stéphan Tulkens, Simon Suster, Walter Daelemans:
Using Distributed Representations to Disambiguate Biomedical and Clinical Concepts. 77-82 - Timothy Miller, Dmitriy Dligach, Guergana Savova:
Unsupervised Document Classification with Informed Topic Models. 83-91 - Sumithra Velupillai, Danielle L. Mowery, Mike Conway, John F. Hurdle, Brent Kious:
Vocabulary Development To Support Information Extraction of Substance Abuse from Psychiatry Notes. 92-101 - Kai Hakala, Suwisa Kaewphan, Tapio Salakoski, Filip Ginter:
Syntactic analyses and named entity recognition for PubMed and PubMed Central - up-to-the-minute. 102-107 - Chen Lin, Timothy Miller, Dmitriy Dligach, Steven Bethard, Guergana Savova:
Improving Temporal Relation Extraction with Training Instance Augmentation. 108-113 - Georgios-Ioannis Brokos, Prodromos Malakasiotis, Ion Androutsopoulos:
Using Centroids of Word Embeddings and Word Mover's Distance for Biomedical Document Retrieval in Question Answering. 114-118 - Michael Spranger, Sucheendra K. Palaniappan, Samik Ghosh:
Measuring the State of the Art of Automated Pathway Curation Using Graph Algorithms - A Case Study of the mTOR Pathway. 119-127 - Keyuan Jiang, Ricardo A. Calix, Matrika Gupta:
Construction of a Personal Experience Tweet Corpus for Health Surveillance. 128-135 - Nut Limsopatham, Nigel Collier:
Modelling the Combination of Generic and Target Domain Embeddings in a Convolutional Neural Network for Sentence Classification. 136-140 - Lana Yeganova, Won Kim, Sun Kim, Rezarta Islamaj Dogan, Wanli Liu, Donald C. Comeau, Zhiyong Lu, W. John Wilbur:
PubTermVariants: biomedical term variants and their use for PubMed search. 141-145 - Gus Hahn-Powell, Dane Bell, Marco Antonio Valenzuela-Escárcega, Mihai Surdeanu:
This before That: Causal Precedence in the Biomedical Domain. 146-155 - Viviana Cotik, Vanesa Stricker, Jorge Vivaldi, Horacio Rodríguez:
Syntactic methods for negation detection in radiology reports in Spanish. 156-165 - Billy Chiu, Gamal K. O. Crichton, Anna Korhonen, Sampo Pyysalo:
How to Train good Word Embeddings for Biomedical NLP. 166-174 - Brian Connolly, Benjamin Glass, John Pestian:
An Information Foraging Approach to Determining the Number of Relevant Features. 175-180 - Brian E. Chapman, Danielle L. Mowery, Evan Narasimhan, Neel Patel, Wendy W. Chapman, Marta E. Heilbrun:
Assessing the Feasibility of an Automated Suggestion System for Communicating Critical Findings from Chest Radiology Reports to Referring Physicians. 181-185 - Simon Kocbek, Tudor Groza:
Building a dictionary of lexical variants for phenotype descriptors. 186-190 - Olof Jacobson, Hercules Dalianis:
Applying deep learning on electronic health records in Swedish to predict healthcare-associated infections. 191-195 - Genevieve Gorrell, Sherifat Oduola, Angus Roberts, Tom Craig, Craig Morgan, Robert Stewart:
Identifying First Episodes of Psychosis in Psychiatric Patient Records using Machine Learning. 196-205 - Sunil Kumar Sahu, Ashish Anand, Krishnadev Oruganty, Mahanandeeshwar Gattu:
Relation extraction from clinical texts using domain invariant convolutional neural network. 206-215
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