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  • Nelsonn SD, Parker J, Lario R, Winnenburg R, Erlbaum MS, Lincoln MJ, Bodenreider O. Interoperability of medication classification systems: Lessons learned mapping estab-lished pharmacologic classes (EPCs) to SNOMED CT. Stud Health Technol Inform. 2017;245:920-924.
  • Yu Z, Nguyen T, Dhombres F, Johnson T, Bodenreider O. "Hybrid Topics" - Facilitating the Interpretation of Topics Through the Addition of MeSH Descriptors to Bags of Words. Stud Health Technol Inform. 2017;245:662-666.
  • Kilicoglu H. Inferring Implicit Causal Relationships in Biomedical Literature. Proc 15th Workshop on Biomedical Natural Language Processing. Pages 46-55. 2016.
  • Ben Abacha A. NLM_NIH at TREC 2016 Clinical Decision Support Track. Proceedings of TREC 2016, the 25th Text Retrieval Conference, Gaithersburg, MD, USA, November 2016.
  • Wang Y, Lynch P, Kanduru A, Hook J, Mericle L, Ludet C, Vreeman D, McDonald CJ. LHC-Forms and Related Widgets for Capturing and Tuning Health Data [Poster] AMIA Annual Symposium, Chicago IL
  • Ben Abacha A, Demner-Fushman D. NLM_NIH at SemEval-2017 Task 3: from Question Entailment to Question Similarity for Community Question Answering. In Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval@ACL) 2017: 349-352.
  • Madani S, Henderson J, Fung K. Development of an oncology subset of SNOMED CT based on patient notes. AMIA Annu Symp Proc 2016: 91-92.
  • Boyce RD, Voss EA, Huser V, Evans L, Reich C, Duke JD, Tatonetti NP, Lorberbaum T, Dumontier M, Hauben M, Wallberg M. LAERTES: An open scalable architecture for linking pharmacovigilance evidence sources with clinical data. Proc International Conference on Biomedical Ontology and BioCreative (ICBO BioCreative 2016). http://icbo2016.cgrb.oregonstate.edu/node/354.
  • Homer ML, Palmer NP, Bodenreider O, Cami A, Chadwick L, Mandl KD. The Drug Data to Knowledge Pipeline: Large-Scale Claims Data Classification for Pharmacologic Insight. AMIA Jt Summits Transl Sci Proc. 2016 Jul 20;2016:105-11. eCollection 2016.
  • Roberts K, Demner-Fushman D. Annotating Logical Forms for EHR Questions. Proceedings of the Language Resources and Evaluation Conference, LREC,23-28 May 2016, Portorož.
  • Lu C, Tormey D, McDreedy L, Browne AC. Multiword frequency analysis based on MEDLINE N - gram set [Poster]. AMIA 2016 Annual Symposium, Chicago, IL, November 12-16, 2016.
  • Lu C, Tormey D, McDreedy L, Browne AC. Generating SD-Rules in the SPECISLIST Lexical Tools - Optimization for suffix derivation rule set [Poster]. BIOSTEC 2016), Vol(5): HEALTHINF, Rome, Italy, February 21-23, 2016, p. 353-358 (9th International Conference on Health Informatics, HEALTHINF/BIOSTEC, 2016 Best Poster Award
  • Bodenreider O. Identifying missing hierarchical relations in SNOMED CT from logical definitions based on the lexical features of concept names. Proceedings of the 6th International Conference on Biomedical Ontology (ICBO 2016), 2016: p. (electronic proceedings: http://ceur-ws.org/Vol-1747/IT601_ICBO2016.pdf).
  • Kury F, Bodenreider O. Desiderata for drug classification systems for their use in analyzing large drug prescription datasets. Proceedings of the 3rd Workshop on Data Mining for Medical Informatics (DMMI 2016), 2016.
  • Lu C, Tormey D, MCreedy L, Browne AC. Generating the MEDLINE N-Gram Set [Poster]. AMIA 2015 Annual Symposium, San Francisco, CA, November 14-18, 2015, p. 1569.
  • Cimino JJ, Huser V. Characterization of the Context of Drug Concepts in Research Protocols: An Empiric Study to Guide Ontology Development. AMIA Annu Symp Proc. 2015 Nov 5;2015:441-7. eCollection 2015.
  • Sorbello A, Ripple AM, Bodenreider O. A pilot study to support prospective detection of emerging adverse drug events [Poster]. AMIA Annu Symp Proc 2015:1699.
  • Dhombres F, Bodenreider O. Investigating the lexico-syntactic properties of phenotype terms – Application to interoperability between HPO and SNOMED CT. Proc Joint Bio-Ontologies and BioLINK ISMB'2015 SIG session "Phenotype Day" 2015:8-11.
  • Kilicoglu H, Rosemblat G, Cairelli M, Rindflesch TC. A Compositional Interpretation of Biomedical Event Factuality. Proc of the Second Workshop on Extra-Propositional Aspects of Meaning in Computational Semantics (ExProM 2015).
  • Cho D, Mork JG, Aronson A, Demner-Fushman D, Schmidt S, Ozga D, Pash J, Kilbourne J. MeSH on demand: an easy way to identify relevant MeSH terms and related articles from text [Poster]. National Cancer Institute (NCI) Symposium "RNA Biology 2015".
  • Roberts K, Demner-Fushman D. Toward a Natural Language Interface for EHR Questions. AMIA Jt Summits Transl Sci Proc. 2015 Mar 25;2015:157-61. eCollection 2015.
  • Wei W, Demner-Fushman D, Wang S, Jiang X, Ohno-Machado L. Ranking Medical Subject Headings using a factor graph model. AMIA Jt Summits Transl Sci Proc. 2015 Mar 23;2015:56-63. eCollection 2015.
  • Amini S, Kilicoglu H, Hooft L, ter Riet G. Are we expressing uncertainty of our claims enough? Towards automatic detection of overstatement of claims [Poster]. 2015. World Conference on Research Integrity (WCRI).
  • Fu GE, Bolton NQ, Rosinach LI, Furlong V, Nguyen AP, Sheth O, Bodenreider O, Dumontier M. Exposing provenance metadata using different RDF models. Proceedings of the International Conference on Semantic Web Applications and Tools for Life Sciences (SWAT4LS 2015), 2015: p. (electronic proceedings: http://www.swat4ls.org/wp-content/uploads/2015/10/SWAT4LS_2015_paper_11.pdf).
  • Kilicoglu H, Rogers W. A Hybrid System for Extracting Chemical-Disease Relationships from Scientific Literature. 2015. BioCreative 5 Proceedings.

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