Biomedical Natural Language Processing Workshop (2008)
Proceedings of the Workshop on Current Trends in Biomedical Natural Language Processing
Proceedings of the Workshop on Current Trends in Biomedical Natural Language Processing
Dina Demner-Fushman
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Sophia Ananiadou
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Kevin Bretonnel Cohen
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John Pestian
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Jun’ichi Tsujii
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Bonnie Webber
A Graph Kernel for Protein-Protein Interaction Extraction
Antti Airola
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Sampo Pyysalo
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Jari Björne
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Tapio Pahikkala
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Filip Ginter
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Tapio Salakoski
Extracting Clinical Relationships from Patient Narratives
Angus Roberts
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Robert Gaizauskas
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Mark Hepple
Using Automated Feature Optimisation to Create an Adaptable Relation Extraction System
Barry Haddow
Mining the Biomedical Literature for Genic Information
Catalina O. Tudor
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K. Vijay-Shanker
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Carl J. Schmidt
Accelerating the Annotation of Sparse Named Entities by Dynamic Sentence Selection
Yoshimasa Tsuruoka
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Jun’ichi Tsujii
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Sophia Ananiadou
The BioScope corpus: annotation for negation, uncertainty and their scope in biomedical texts
György Szarvas
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Veronika Vincze
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Richárd Farkas
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János Csirik
Recognizing Speculative Language in Biomedical Research Articles: A Linguistically Motivated Perspective
Halil Kilicoglu
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Sabine Bergler
Cascaded Classifiers for Confidence-Based Chemical Named Entity Recognition
Peter Corbett
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Ann Copestake
How to Make the Most of NE Dictionaries in Statistical NER
Yutaka Sasaki
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Yoshimasa Tsuruoka
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John McNaught
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Sophia Ananiadou
Species Disambiguation for Biomedical Term Identification
Xinglong Wang
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Michael Matthews
Knowledge Sources for Word Sense Disambiguation of Biomedical Text
Mark Stevenson
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Yinkun Guo
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Robert Gaizauskas
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David Martinez
Automatic inference of indexing rules for MEDLINE
Aurélie Névéol
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Sonya Shooshan
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Vincent Claveau
Prediction of Protein Sub-cellular Localization using Information from Texts and Sequences.
Hong-Woo Chun
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Chisato Yamasaki
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Naomi Saichi
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Masayuki Tanaka
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Teruyoshi Hishiki
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Tadashi Imanishi
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Takashi Gojobori
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Jin-Dong Kim
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Jun’ichi Tsujii
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Toshihisa Takagi
A Pilot Annotation to Investigate Discourse Connectivity in Biomedical Text
Hong Yu
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Nadya Frid
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Susan McRoy
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Rashmi Prasad
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Alan Lee
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Aravind Joshi
Conditional Random Fields and Support Vector Machines for Disorder Named Entity Recognition in Clinical Texts
Dingcheng Li
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Guergana Savova
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Karin Kipper-Schuler
Using Natural Language Processing to Classify Suicide Notes
John Pestian
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Pawel Matykiewicz
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Jacqueline Grupp-Phelan
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Sarah Arszman Lavanier
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Jennifer Combs
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Robert Kowatch
Extracting Protein-Protein Interaction based on Discriminative Training of the Hidden Vector State Model
Deyu Zhou
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Yulan He
A preliminary approach to extract drugs by combining UMLS resources and USAN naming conventions
Isabel Segura-Bedmar
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Paloma Martínez
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Doaa Samy
Mapping Clinical Notes to Medical Terminologies at Point of Care
Yefeng Wang
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Jon Patrick
An Approach to Reducing Annotation Costs for BioNLP
Michael Bloodgood
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K. Vijay-Shanker
Temporal Annotation of Clinical Text
Danielle Mowery
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Henk Harkema
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Wendy Chapman
CBR-Tagger: a case-based reasoning approach to the gene/protein mention problem
Mariana Neves
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Monica Chagoyen
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José María Carazo
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Alberto Pascual-Montano
Textual Information for Predicting Functional Properties of the Genes
Oana Frunza
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Diana Inkpen
Determining causal and non-causal relationships in biomedical text by classifying verbs using a Naive Bayesian Classifier
Pieter van der Horn
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Bart Bakker
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Gijs Geleijnse
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Jan Korst
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Sergei Kurkin
Statistical Term Profiling for Query Pattern Mining
Paul Buitelaar
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Pinar Oezden Wennerberg
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Sonja Zillner
Using Language Models to Identify Language Impairment in Spanish-English Bilingual Children
Thamar Solorio
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Yang Liu
Raising the Compatibility of Heterogeneous Annotations: A Case Study on
Yue Wang
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Kazuhiro Yoshida
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Jin-Dong Kim
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Rune Saetre
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Jun’ichi Tsujii
Adaptive Information Extraction for Complex Biomedical Tasks
Donghui Feng
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Gully Burns
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Eduard Hovy