{"id":"https://openalex.org/W2127190712","doi":"https://doi.org/10.1109/nlpke.2009.5313735","title":"Protein-protein interaction extraction from biomedical literatures based on modified SVM-KNN","display_name":"Protein-protein interaction extraction from biomedical literatures based on modified SVM-KNN","publication_year":2009,"publication_date":"2009-09-01","ids":{"openalex":"https://openalex.org/W2127190712","doi":"https://doi.org/10.1109/nlpke.2009.5313735","mag":"2127190712"},"language":"en","primary_location":{"id":"doi:10.1109/nlpke.2009.5313735","is_oa":false,"landing_page_url":"https://doi.org/10.1109/nlpke.2009.5313735","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 International Conference on Natural Language Processing and Knowledge Engineering","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5082868235","display_name":"Lishuang Li","orcid":"https://orcid.org/0000-0002-4189-1466"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lishuang Li","raw_affiliation_strings":["Dalian University of Technology, Dalian, Liaoning, China","Dalian University of technology,Dalian,Liaoning,China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dalian University of Technology, Dalian, Liaoning, China","institution_ids":["https://openalex.org/I27357992"]},{"raw_affiliation_string":"Dalian University of technology,Dalian,Liaoning,China)","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006029673","display_name":"Linmei Jing","orcid":null},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linmei Jing","raw_affiliation_strings":["Dalian University of Technology, Dalian, Liaoning, China","Dalian University of technology,Dalian,Liaoning,China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dalian University of Technology, Dalian, Liaoning, China","institution_ids":["https://openalex.org/I27357992"]},{"raw_affiliation_string":"Dalian University of technology,Dalian,Liaoning,China)","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046871248","display_name":"Degen Huang","orcid":"https://orcid.org/0000-0002-8860-7805"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Degen Huang","raw_affiliation_strings":["Dalian University of Technology, Dalian, Liaoning, China","Dalian University of technology,Dalian,Liaoning,China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dalian University of Technology, Dalian, Liaoning, China","institution_ids":["https://openalex.org/I27357992"]},{"raw_affiliation_string":"Dalian University of technology,Dalian,Liaoning,China)","institution_ids":["https://openalex.org/I27357992"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I27357992"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"30","issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9866999983787537,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9847999811172485,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.8744369745254517},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7068876028060913},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6930699944496155},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6746741533279419},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6599525809288025},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.5510861277580261},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.45442134141921997},{"id":"https://openalex.org/keywords/protein\u2013protein-interaction","display_name":"Protein\u2013protein interaction","score":0.4425082802772522},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4153957664966583},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32131317257881165},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.08522570133209229}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.8744369745254517},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7068876028060913},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6930699944496155},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6746741533279419},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6599525809288025},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.5510861277580261},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.45442134141921997},{"id":"https://openalex.org/C11804247","wikidata":"https://www.wikidata.org/wiki/Q896177","display_name":"Protein\u2013protein interaction","level":2,"score":0.4425082802772522},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4153957664966583},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32131317257881165},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.08522570133209229},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/nlpke.2009.5313735","is_oa":false,"landing_page_url":"https://doi.org/10.1109/nlpke.2009.5313735","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 International Conference on Natural Language Processing and Knowledge Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.4000000059604645,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W151685798","https://openalex.org/W1604685658","https://openalex.org/W1691537300","https://openalex.org/W1858522469","https://openalex.org/W1980127292","https://openalex.org/W1981805898","https://openalex.org/W1989570518","https://openalex.org/W2013299922","https://openalex.org/W2016928406","https://openalex.org/W2046740651","https://openalex.org/W2052852434","https://openalex.org/W2095595667","https://openalex.org/W2112454182","https://openalex.org/W2120433106","https://openalex.org/W2148603752","https://openalex.org/W2156909104","https://openalex.org/W2369182129","https://openalex.org/W4253916563","https://openalex.org/W6636363920","https://openalex.org/W6637284365"],"related_works":["https://openalex.org/W2785302227","https://openalex.org/W2046803187","https://openalex.org/W2354127086","https://openalex.org/W4309224981","https://openalex.org/W2107754327","https://openalex.org/W2351157934","https://openalex.org/W2519241726","https://openalex.org/W3035451850","https://openalex.org/W2786437509","https://openalex.org/W1968695676"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,62,101],"novel":[4],"method":[5,91],"to":[6,79,95],"extract":[7,80],"Protein-Protein":[8],"Interaction":[9,128],"(PPI)":[10],"information":[11],"from":[12],"biomedical":[13],"literatures":[14],"based":[15,50,74],"on":[16,51,75,109],"Support":[17],"Vector":[18],"Machine":[19],"(SVM)":[20],"and":[21,133],"K":[22],"Nearest":[23],"Neighbors":[24],"(KNN).":[25],"The":[26,130],"two":[27,32,36,46,55,59,120],"protein":[28,47,63],"names,":[29,48],"words":[30,34,44],"between":[31,39],"proteins,":[33,37,56],"surrounding":[35,43],"keyword":[38],"or":[40],"among":[41],"the":[42,70,81,85,97,119,144],"of":[45,54,58,69,87,143],"ExpDistance":[49],"word":[52],"distance":[53,121],"ProDistance":[57],"proteins":[60],"in":[61],"pair":[64],"are":[65,135],"extracted":[66],"as":[67],"features":[68,122],"vectors.":[71],"A":[72],"model":[73],"SVM":[76,88],"is":[77,92,105,123],"setup":[78],"interaction.":[82],"To":[83],"improve":[84],"accuracy":[86],"classifier,":[89],"KNN":[90],"introduced.":[93],"Furthermore,":[94],"fit":[96],"unbalanced":[98],"data":[99],"distribution,":[100],"modified":[102,115],"SVM-KNN":[103,116],"classifier":[104,117],"proposed.":[106],"Experiments":[107],"conducted":[108],"BC-PPI":[110],"corpus":[111],"show":[112],"that":[113],"our":[114],"with":[118],"efficient":[124],"at":[125],"extracting":[126],"protein-protein":[127],"information.":[129],"recall,":[131],"precision":[132],"F-score":[134],"87.2%,":[136],"82.4%,":[137],"84.7%":[138],"respectively":[139],"which":[140],"outperform":[141],"most":[142],"state-of-the-art":[145],"systems.":[146]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}