BioNLP 2011 — papers
The works of BioNLP published in 2011 that our library holds (publisher: Association for Computational Linguistics): 1 work, listed below with the most cited first; each has a page with our summary, its key points and its references.
All works of the year (25)
- A Study on Dependency Tree Kernels for Automatic Extraction of Protein-Protein Interaction ↗Faisal Md. Chowdhury, Alberto Lavelli, Alessandro Moschitti
- Automatic Acquisition of Huge Training Data for Bio-Medical Named Entity Recognition ↗Yu Usami, Han-Cheol Cho, Naoaki Okazaki et al.
- Automatic extraction of data deposition statements: where do the research results go? ↗Aurélie Névéol, W. John Wilbur, Zhiyong Lu
- Building Timelines from Narrative Clinical Records: Initial Results Based-on Deep Natural Language Understanding ↗Hyuckchul Jung, James Allen, Nate Blaylock et al.
- Building a Coreference-Annotated Corpus from the Domain of BiochemistryRiza Theresa Batista-Navarro, Sophia Ananiadouour summary
- Building frame-based corpus on the basis of ontological domain knowledge ↗He Tan, Rajaram Kaliyaperumal, Nirupama Benis
- EVEX: A PubMed-Scale Resource for Homology-Based Generalization of Text Mining Predictions ↗Sofie Van Landeghem, Filip Ginter, Yves Van de Peer et al.
- Fast and simple semantic class assignment for biomedical text ↗K. Bretonnel Cohen, Thomas Christiansen, William Baumgartner Jr. et al.
- From Pathways to Biomolecular Events: Opportunities and Challenges ↗Tomoko Ohta, Sampo Pyysalo, Jun'ichi Tsujii
- Hypothesis and Evidence Extraction from Full-Text Scientific Journal Articles ↗Elizabeth White, K. Bretonnel Cohen, Larry Hunter
- In Search of Protein Locations ↗Catherine Blake, Wu Zheng
- Learning Phenotype Mapping for Integrating Large Genetic Data ↗Chun-Nan Hsu, Cheng-Ju Kuo, Congxing Cai et al.
- Medical Entity Recognition: A Comparaison of Semantic and Statistical Methods ↗Asma Ben Abacha, Pierre Zweigenbaum
- Medstract - The Next Generation ↗Marc Verhagen, James Pustejovsky
- Not all links are equal: Exploiting Dependency Types for the Extraction of Protein-Protein Interactions from Text ↗Philippe Thomas, Stefan Pietschmann, Illés Solt et al.
- Parsing Natural Language Queries for Life Science Knowledge ↗Tadayoshi Hara, Yuka Tateisi, Jin-Dong Kim et al.
- Self-training and co-training in biomedical word sense disambiguation ↗Antonio Jimeno-Yepes, Alan Aronson
- SimSem: Fast Approximate String Matching in Relation to Semantic Category Disambiguation ↗Pontus Stenetorp, Sampo Pyysalo, Jun'ichi Tsujii
- Text Mining Techniques for Leveraging Positively Labeled Data ↗Lana Yeganova, Donald C. Comeau, Won Kim et al.
- ThaiHerbMiner: A Thai Herbal Medicine Mining and Visualizing Tool ↗Choochart Haruechaiyasak, Jaruwat Pailai, Wasna Viratyosin et al.
- The Role of Information Extraction in the Design of a Document Triage Application for Biocuration ↗Sandeep Pokkunuri, Cartic Ramakrishnan, Ellen Riloff et al.
- Towards Exhaustive Event Extraction for Protein Modifications ↗Sampo Pyysalo, Tomoko Ohta, Makoto Miwa et al.
- Towards Morphologically Annotated Corpus of Hospital Discharge Reports in Polish ↗Malgorzata Marciniak, Agnieszka Mykowiecka
- Unlocking Medical Ontologies for Non-Ontology Experts ↗Shao Fen Liang, Donia Scott, Robert Stevens et al.
- Unsupervised Entailment Detection between Dependency Graph Fragments ↗Marek Rei, Ted Briscoe
Works with our summary in our library (1)
- Building a Coreference-Annotated Corpus from the Domain of BiochemistryBioNLPRiza Theresa Batista-Navarro, Sophia Ananiadou2011 · 6 citations
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This page in Markdown → https://md.research.elamur.ai/free/en/venues/bionlp/2011/