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BioNLP@ACL 2007: Prague, Czech Republic
- K. Bretonnel Cohen, Dina Demner-Fushman, Carol Friedman, Lynette Hirschman, John Pestian:
Biological, translational, and clinical language processing, BioNLP@ACL 2007, Prague, Czech Republic, June 29, 2007. Association for Computational Linguistics 2007 - Brian Roark, Margaret Mitchell, Kristy Hollingshead:
Syntactic complexity measures for detecting Mild Cognitive Impairment. 1-8 - Bridget T. McInnes, Ted Pedersen, Serguei Pakhomov:
Determining the Syntactic Structure of Medical Terms in Clinical Notes. 9-16 - Son Doan, Ai Kawazoe, Nigel Collier:
The Role of Roles in Classifying Annotated Biomedical Text. 17-24 - Sampo Pyysalo, Filip Ginter, Veronika Laippala, Katri Haverinen, Juho Heimonen, Tapio Salakoski:
On the unification of syntactic annotations under the Stanford dependency scheme: A case study on BioInfer and GENIA. 25-32 - Haibin Liu, Christian Blouin, Vlado Keselj:
An Unsupervised Method for Extracting Domain-specific Affixes in Biological Literature. 33-40 - Hua Xu, Jungwei Fan, Carol Friedman:
Combining multiple evidence for gene symbol disambiguation. 41-48 - Noemie Elhadad, Komal Sutaria:
Mining a Lexicon of Technical Terms and Lay Equivalents. 49-56 - Peter T. Corbett, Colin R. Batchelor, Simone Teufel:
Annotation of Chemical Named Entities. 57-64 - Beatrice Alex, Barry Haddow, Claire Grover:
Recognising Nested Named Entities in Biomedical Text. 65-72 - Marti A. Hearst, Anna Divoli, Jerry Ye, Michael A. Wooldridge:
Exploring the Efficacy of Caption Search for Bioscience Journal Search Interfaces. 73-80 - Wendy W. Chapman, John N. Dowling, David Chu:
ConText: An Algorithm for Identifying Contextual Features from Clinical Text. 81-88 - Amgad Madkour, Kareem Darwish, Hany Hassan, Ahmed Hassan, Ossama Emam:
BioNoculars: Extracting Protein-Protein Interactions from Biomedical Text. 89-96 - John P. Pestian, Chris Brew, Pawel Matykiewicz, D. J. Hovermale, Neil Johnson, K. Bretonnel Cohen, Wlodzislaw Duch:
A shared task involving multi-label classification of clinical free text. 97-104 - Alan R. Aronson, Olivier Bodenreider, Dina Demner-Fushman, Kin Wah Fung, Vivian K. Lee, James G. Mork, Aurélie Névéol, Lee B. Peters, Willie J. Rogers:
From indexing the biomedical literature to coding clinical text: experience with MTI and machine learning approaches. 105-112 - Amanda Bouffier, Thierry Poibeau:
Automatically Restructuring Practice Guidelines using the GEM DTD. 113-120 - Grace Chung, Enrico W. Coiera:
A Study of Structured Clinical Abstracts and the Semantic Classification of Sentences. 121-128 - Koby Crammer, Mark Dredze, Kuzman Ganchev, Partha Pratim Talukdar, Steven Carroll:
Automatic Code Assignment to Medical Text. 129-136 - Marcelo Fiszman, Dina Demner-Fushman, François-Michel Lang, Philip Goetz, Thomas C. Rindflesch:
Interpreting comparative constructions in biomedical text. 137-144 - Barry Haddow, Michael Matthews:
The Extraction of Enriched Protein-Protein Interactions from Biomedical Text. 145-152 - Jörg Hakenberg:
What's in a gene name? Automated refinement of gene name dictionaries. 153-160 - David Hardcastle, Catalina Hallett:
Exploring the Use of NLP in the Disclosure of Electronic Patient Records. 161-162 - Ian Lewin:
BaseNPs that contain gene names: domain specificity and genericity. 163-170 - Tara McIntosh, James R. Curran:
Challenges for extracting biomedical knowledge from full text. 171-178 - John E. Miller, Manabu Torii, K. Vijay-Shanker:
Adaptation of POS Tagging for Multiple BioMedical Domains. 179-180 - Agnieszka Mykowiecka, Malgorzata Marciniak:
Information Extraction from Patients' Free Form Documentation. 181-182 - Aurélie Névéol, James G. Mork, Alan R. Aronson:
Automatic Indexing of Specialized Documents: Using Generic vs. Domain-Specific Document Representations. 183-190 - Jon D. Patrick, Yitao Zhang, Yefeng Wang:
Developing Feature Types for Classifying Clinical Notes. 191-192 - Michael Poprat, Udo Hahn:
Quantitative Data on Referring Expressions in Biomedical Abstracts. 193-194 - Olivia Sanchez-Graillet, Massimo Poesio:
Discovering contradicting protein-protein interactions in text. 195-196 - Gail Sinclair, Bonnie L. Webber:
Marking time in developmental biology. 197-198 - Andreas Vlachos:
Evaluating and combining and biomedical named entity recognition systems. 199-200 - W. John Wilbur:
Unsupervised Learning of the Morpho-Semantic Relationship in MEDLINE. 201-208 - Kazuhiro Yoshida, Jun'ichi Tsujii:
Reranking for Biomedical Named-Entity Recognition. 209-216
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