Savana: A Global Information Extraction and Terminology Expansion Framework in the Medical Domain

This work is partially funded by the Spanish Ministry of Economy and Competitiveness under the following sponsorships: Maria de Maeztu Units of Excellence Programme (MDM-2015-0502), and TUNER project (TIN2015-65308-C5-5-R, MINECO/FEDER, UE).

[1]  Horacio Saggion,et al.  ExTaSem! Extending, Taxonomizing and Semantifying Domain Terminologies , 2016, AAAI.

[2]  Zornitsa Kozareva.  Simple, Fast and Accurate Taxonomy Learning , 2014, Text Mining.

[3]  Olivier Bodenreider,et al.  The Unified Medical Language System (UMLS): integrating biomedical terminology , 2004, Nucleic Acids Res..

[4]  Yue Ma,et al.  Learning Formal Definitions for Snomed CT from Text , 2013, AIME.

[5]  Zina M. Ibrahim,et al.  Identification of Adverse Drug Events from Free Text Electronic Patient Records and Information in a Large Mental Health Case Register , 2015, PloS one.

[6]  Mike Conway,et al.  Corpus-Driven Terminology Development: Populating Swedish SNOMED CT with Synonyms Extracted from Electronic Health Records , 2013, BioNLP@ACL.

[7]  Martha Palmer,et al.  Verb Semantics and Lexical Selection , 1994, ACL.

[8]  Geoffrey Zweig,et al.  Linguistic Regularities in Continuous Space Word Representations , 2013, NAACL.

[9]  Bernd Bohnet,et al.  Very high accuracy and fast dependency parsing is not a contradiction , 2010, COLING 2010.

[10]  James Geller,et al.  The Neighborhood Auditing Tool: A hybrid interface for auditing the UMLS , 2009, J. Biomed. Informatics.

[11]  Koldo Gojenola,et al.  Document-level adverse drug reaction event extraction on electronic health records in Spanish , 2016, Proces. del Leng. Natural.

[12]  Son Doan,et al.  Application of information technology: MedEx: a medication information extraction system for clinical narratives , 2010, J. Am. Medical Informatics Assoc..

[13]  Pierre Zweigenbaum,et al.  A Supervised Named-Entity Extraction System for Medical Text , 2013, CLEF.

[14]  Gerhard Weikum,et al.  PATTY: A Taxonomy of Relational Patterns with Semantic Types , 2012, EMNLP.

[15]  Kent A. Spackman,et al.  SNOMED RT: a reference terminology for health care , 1997, AMIA.

[16]  Óscar Corcho,et al.  Towards Dr Inventor: A Tool for Promoting Scientific Creativity , 2014, ICCC.

[17]  Estevam R. Hruschka,et al.  Toward an Architecture for Never-Ending Language Learning , 2010, AAAI.

[18]  Stefano Faralli,et al.  OntoLearn Reloaded: A Graph-Based Algorithm for Taxonomy Induction , 2013, CL.

[19]  Jeffrey Dean,et al.  Efficient Estimation of Word Representations in Vector Space , 2013, ICLR.

[20]  Lucian Vlad Lita,et al.  Okinet : Automatic Extraction of a Medical Ontology From Wikipedia , 2008 .

[21]  See-Kiong Ng,et al.  Taxonomy Construction Using Syntactic Contextual Evidence , 2014, EMNLP.

[22]  George A. Miller,et al.  WordNet: A Lexical Database for English , 1995, HLT.

[23]  Dhavendra Kumar,et al.  The personalised medicine. A paradigm of evidence-based medicine. , 2011, Annali dell'Istituto superiore di sanita.

[24]  Roberto Navigli,et al.  Knowledge Base Unification via Sense Embeddings and Disambiguation , 2015, EMNLP.

[25]  Lluís Padró,et al.  FreeLing 1.3: Syntactic and semantic services in an open-source NLP library , 2006, LREC.

[26]  Mohammad Taher Pilehvar,et al.  Reserating the awesometastic: An automatic extension of the WordNet taxonomy for novel terms , 2015, HLT-NAACL.