메뉴 건너뛰기




Volumn 32, Issue 23, 2016, Pages 3635-3644

Corpus domain effects on distributional semantic modeling of medical terms

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL NEURAL NETWORK; DATA MINING; HUMAN; MEDLINE; NATURAL LANGUAGE PROCESSING; SEMANTICS; SOFTWARE; STANDARD; UNIFIED MEDICAL LANGUAGE SYSTEM;

EID: 85016174691     PISSN: 13674803     EISSN: 14602059     Source Type: Journal    
DOI: 10.1093/bioinformatics/btw529     Document Type: Article
Times cited : (96)

References (35)
  • 1
    • 84906930943 scopus 로고    scopus 로고
    • Dont count, predict! A systematic comparison of context-counting vs. Context-predicting semantic vectors
    • Baltimore, Maryland
    • Baroni,M. et al. (2014) Dont count, predict! a systematic comparison of context-counting vs. context-predicting semantic vectors. In: Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, pp. 238-247. Baltimore, Maryland.
    • (2014) Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics , pp. 238-247
    • Baroni, M.1
  • 2
    • 29244435856 scopus 로고    scopus 로고
    • Accuracy of mild traumatic brain injury case ascertainment using ICD-9 codes
    • Bazarian,J.J. et al. (2006) Accuracy of mild traumatic brain injury case ascertainment using ICD-9 codes. Acad. Emerg. Med., 13, 31-38.
    • (2006) Acad. Emerg. Med. , vol.13 , pp. 31-38
    • Bazarian, J.J.1
  • 3
    • 33646760990 scopus 로고    scopus 로고
    • Evaluating WordNet-based measures of semantic distance
    • Budanitsky,A. and Hirst,G. (2006) Evaluating WordNet-based measures of semantic distance. Comput. Linguist., 32, 13-47.
    • (2006) Comput. Linguist. , vol.32 , pp. 13-47
    • Budanitsky, A.1    Hirst, G.2
  • 4
    • 33750726707 scopus 로고    scopus 로고
    • Systolic and diastolic heart failure in the community
    • Bursi,F. et al. (2006) Systolic and diastolic heart failure in the community. JAMA, 296, 2209-2216.
    • (2006) JAMA , vol.296 , pp. 2209-2216
    • Bursi, F.1
  • 5
    • 61949432274 scopus 로고    scopus 로고
    • Empirical distributional semantics: Methods and biomedical applications
    • Cohen,T. and Widdows,D. (2009) Empirical distributional semantics: methods and biomedical applications. J. Biomed. Inf., 42, 390-405.
    • (2009) J. Biomed. Inf. , vol.42 , pp. 390-405
    • Cohen, T.1    Widdows, D.2
  • 6
    • 84890486487 scopus 로고    scopus 로고
    • Billing code algorithms to identify cases of peripheral artery disease from administrative data
    • Fan,J. et al. (2013) Billing code algorithms to identify cases of peripheral artery disease from administrative data. J. Am. Med. Inf. Assoc., 20, e349-e354.
    • (2013) J. Am. Med. Inf. Assoc. , vol.20 , pp. e349-e354
    • Fan, J.1
  • 8
    • 84885997808 scopus 로고    scopus 로고
    • Exploiting disjointness axioms to improve semantic similarity measures
    • Ferreira,J.D. et al. (2013) Exploiting disjointness axioms to improve semantic similarity measures. Bioinformatics, 29, 2781-2787.
    • (2013) Bioinformatics , vol.29 , pp. 2781-2787
    • Ferreira, J.D.1
  • 9
    • 84867218819 scopus 로고    scopus 로고
    • Semantic similarity in the biomedical domain: An evaluation across knowledge sources
    • Garla,V.N. and Brandt,C. (2012) Semantic similarity in the biomedical domain: an evaluation across knowledge sources. BMC Bioinf., 13, 261.
    • (2012) BMC Bioinf. , vol.13 , pp. 261
    • Garla, V.N.1    Brandt, C.2
  • 10
    • 84882749026 scopus 로고    scopus 로고
    • Knowledge-based biomedical word sense disambiguation: An evaluation and application to clinical document classification
    • Garla,V.N. and Brandt,C. (2013) Knowledge-based biomedical word sense disambiguation: an evaluation and application to clinical document classification. J. Am. Med. Inf. Assoc. JAMIA, 20, 882-886.
    • (2013) J. Am. Med. Inf. Assoc. JAMIA , vol.20 , pp. 882-886
    • Garla, V.N.1    Brandt, C.2
  • 11
    • 79959546493 scopus 로고    scopus 로고
    • Exploiting MeSH indexing in MEDLINE to generate a data set for word sense disambiguation
    • Jimeno-Yepes,A.J. et al. (2011) Exploiting MeSH indexing in MEDLINE to generate a data set for word sense disambiguation. BMC Bioinf., 12, 223.
    • (2011) BMC Bioinf. , vol.12 , pp. 223
    • Jimeno-Yepes, A.J.1
  • 13
    • 0002542095 scopus 로고    scopus 로고
    • Combining local context and WordNet similarity for word sense identification
    • Fellbaum, C. (ed.), Cambridge, MA: MIT Press
    • Leacock,C. and Chodorow,M. (1998). Combining local context and WordNet similarity for word sense identification. In: Fellbaum, C. (ed.) WordNet: An Electronic Lexical Database. Cambridge, MA: MIT Press, pp. 265-283.
    • (1998) WordNet: An Electronic Lexical Database , pp. 265-283
    • Leacock, C.1    Chodorow, M.2
  • 15
    • 84943775110 scopus 로고    scopus 로고
    • Improving distributional similarity with lessons learned from word embeddings
    • Levy,O. et al. (2015) Improving distributional similarity with lessons learned from word embeddings. Trans. Assoc. Comput. Linguist., 3, 211-225.
    • (2015) Trans. Assoc. Comput. Linguist. , vol.3 , pp. 211-225
    • Levy, O.1
  • 17
    • 84863249230 scopus 로고    scopus 로고
    • Semantic relatedness study using second order co-occurrence vectors computed from biomedical corpora, UMLS and word net
    • January 2012. ACM Press
    • Liu,Y. et al. (2012) Semantic relatedness study using second order co-occurrence vectors computed from biomedical corpora, UMLS and Word Net. Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium, Miami, Florida, January 2012. ACM Press, p. 363.
    • (2012) Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium, Miami, Florida , pp. 363
    • Liu, Y.1
  • 18
    • 0037480738 scopus 로고    scopus 로고
    • Investigating semantic similarity measures across the Gene Ontology: The relationship between sequence and annotation
    • Lord,P.W. et al. (2003) Investigating semantic similarity measures across the Gene Ontology: the relationship between sequence and annotation. Bioinformatics, 19, 1275-1283.
    • (2003) Bioinformatics , vol.19 , pp. 1275-1283
    • Lord, P.W.1
  • 19
    • 84962264480 scopus 로고    scopus 로고
    • A-DaGO-Fun: An adaptable Gene Ontology semantic similarity-based functional analysis tool
    • Mazandu,G.K. et al. (2016) A-DaGO-Fun: an adaptable Gene Ontology semantic similarity-based functional analysis tool. Bioinformatics, 32, 477-479.
    • (2016) Bioinformatics , vol.32 , pp. 477-479
    • Mazandu, G.K.1
  • 20
    • 84924783722 scopus 로고    scopus 로고
    • Validity of heart failure diagnoses in administrative databases: A systematic review and meta-analysis
    • McCormick,N. et al. (2014) Validity of heart failure diagnoses in administrative databases: a systematic review and meta-analysis. PLoS ONE, 9, e104519.
    • (2014) PLoS ONE , vol.9 , pp. e104519
    • McCormick, N.1
  • 21
    • 85016216381 scopus 로고    scopus 로고
    • NLP-PIER: A scalable natural language processing, indexing, and searching architecture for clinical notes
    • (in press). San Francisco, CA
    • McEwan,R. et al. (2016). NLP-PIER: a scalable natural language processing, indexing, and searching architecture for clinical notes. In: Proceedings of the 2016 Joint Summits of the American Medical Informatics Association (in press). San Francisco, CA, pp. 150-159.
    • (2016) Proceedings of the 2016 Joint Summits of the American Medical Informatics Association , pp. 150-159
    • McEwan, R.1
  • 23
    • 84888198960 scopus 로고    scopus 로고
    • Evaluating measures of semantic similarity and relatedness to disambiguate terms in biomedical text
    • McInnes,B.T. and Pedersen,T. (2013) Evaluating measures of semantic similarity and relatedness to disambiguate terms in biomedical text. J. Biomed. Inf., 46, 1116-1124.
    • (2013) J. Biomed. Inf. , vol.46 , pp. 1116-1124
    • McInnes, B.T.1    Pedersen, T.2
  • 24
    • 84898956512 scopus 로고    scopus 로고
    • Distributed representations of words and phrases and their compositionality
    • Burges, C.J.C. et al. (eds.)
    • Mikolov,T. et al. (2013) Distributed representations of words and phrases and their compositionality. In: Burges, C.J.C. et al. (eds.) Advances in Neural Information Processing Systems. Lake Tahoe, Nevada, Vol. 26, pp. 3111-3119.
    • (2013) Advances in Neural Information Processing Systems. Lake Tahoe, Nevada , vol.26 , pp. 3111-3119
    • Mikolov, T.1
  • 26
    • 15944378618 scopus 로고    scopus 로고
    • Prospective recruitment of patients with congestive heart failure using an ad-hoc binary classifier
    • Pakhomov,S. et al. (2005) Prospective recruitment of patients with congestive heart failure using an ad-hoc binary classifier. J. Biomed. Inf., 38, 145-153.
    • (2005) J. Biomed. Inf. , vol.38 , pp. 145-153
    • Pakhomov, S.1
  • 28
    • 34250895016 scopus 로고    scopus 로고
    • Electronic medical records for clinical research: Application to the identification of heart failure
    • Pakhomov,S. et al. (2007) Electronic medical records for clinical research: application to the identification of heart failure. Am. J.Manag. Care, 13, 281-288.
    • (2007) Am. J.Manag. Care , vol.13 , pp. 281-288
    • Pakhomov, S.1
  • 30
    • 34248172904 scopus 로고    scopus 로고
    • Measures of semantic similarity and relatedness in the biomedical domain
    • Pedersen,T. et al. (2007) Measures of semantic similarity and relatedness in the biomedical domain. J. Biomed. Inf., 40, 288-299.
    • (2007) J. Biomed. Inf. , vol.40 , pp. 288-299
    • Pedersen, T.1
  • 31
    • 0002016474 scopus 로고    scopus 로고
    • Semantic similarity in a taxonomy: An information-based measure and its application to problems of ambiguity in natural language
    • Resnik,P. (1999) Semantic similarity in a taxonomy: an information-based measure and its application to problems of ambiguity in natural language. J. Artif. Intell. Res., 11, 95-130.
    • (1999) J. Artif. Intell. Res. , vol.11 , pp. 95-130
    • Resnik, P.1
  • 32
    • 84901684446 scopus 로고    scopus 로고
    • Graph-based domain-specific semantic relatedness from Wikipedia
    • Sokolova, M. and van Beek, P. (eds.)
    • Sajadi,A. (2014) Graph-based domain-specific semantic relatedness from Wikipedia. In: Sokolova, M. and van Beek, P. (eds.) Advances in Artificial Intelligence, Vol. 8436, pp. 381-386.
    • (2014) Advances in Artificial Intelligence , vol.8436 , pp. 381-386
    • Sajadi, A.1
  • 33
    • 34447294237 scopus 로고    scopus 로고
    • A new method to measure the semantic similarity of GO terms
    • Wang,J.Z. et al. (2007) A new method to measure the semantic similarity of GO terms. Bioinformatics, 23, 1274-1281.
    • (2007) Bioinformatics , vol.23 , pp. 1274-1281
    • Wang, J.Z.1
  • 34
    • 33646389801 scopus 로고    scopus 로고
    • Co-occurrence retrieval: A flexible framework for lexical distributional similarity
    • Weeds,J. and Weir,D. (2005) Co-occurrence retrieval: a flexible framework for lexical distributional similarity. Comput. Linguist., 31, 439-475.
    • (2005) Comput. Linguist. , vol.31 , pp. 439-475
    • Weeds, J.1    Weir, D.2
  • 35
    • 84861118865 scopus 로고    scopus 로고
    • Improving GO semantic similarity measures by exploring the ontology beneath the terms and modelling uncertainty
    • Yang,H. et al. (2012) Improving GO semantic similarity measures by exploring the ontology beneath the terms and modelling uncertainty. Bioinformatics, 28, 1383-1389.
    • (2012) Bioinformatics , vol.28 , pp. 1383-1389
    • Yang, H.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.