{"id":"https://openalex.org/W1963657641","doi":"https://doi.org/10.1109/bibm.2014.6999207","title":"The Protein-Protein Interaction extraction based on full texts","display_name":"The Protein-Protein Interaction extraction based on full texts","publication_year":2014,"publication_date":"2014-11-01","ids":{"openalex":"https://openalex.org/W1963657641","doi":"https://doi.org/10.1109/bibm.2014.6999207","mag":"1963657641"},"language":"en","primary_location":{"id":"doi:10.1109/bibm.2014.6999207","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2014.6999207","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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":["School of Computer Science and Technology, Dalian University of Technology, Dalian, China","School of Computer Science & Technology, Dalian University of Technology, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]},{"raw_affiliation_string":"School of Computer Science & Technology, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090098664","display_name":"Liuke Jin","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":"Liuke Jin","raw_affiliation_strings":["School of Computer Science and Technology, Dalian University of Technology, Dalian, China","School of Computer Science & Technology, Dalian University of Technology, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]},{"raw_affiliation_string":"School of Computer Science & Technology, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102300838","display_name":"Jieqiong Zheng","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":"Jieqiong Zheng","raw_affiliation_strings":["School of Computer Science and Technology, Dalian University of Technology, Dalian, China","School of Computer Science & Technology, Dalian University of Technology, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]},{"raw_affiliation_string":"School of Computer Science & Technology, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100411722","display_name":"Panpan Zhang","orcid":"https://orcid.org/0000-0001-9038-2863"},"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":"Panpan Zhang","raw_affiliation_strings":["School of Computer Science and Technology, Dalian University of Technology, Dalian, China","School of Computer Science & Technology, Dalian University of Technology, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]},{"raw_affiliation_string":"School of Computer Science & Technology, Dalian University of Technology, Dalian, 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":["School of Computer Science and Technology, Dalian University of Technology, Dalian, China","School of Computer Science & Technology, Dalian University of Technology, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]},{"raw_affiliation_string":"School of Computer Science & Technology, Dalian University of Technology, Dalian, 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":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"493","last_page":"496"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9722999930381775,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.9642999768257141,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7534453868865967},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6166536211967468},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6164470911026001},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5959709882736206},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5356307625770569},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.5219235420227051},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.5210441946983337},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5135369300842285},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.48248934745788574},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4171353578567505},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4105421006679535},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36556482315063477},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33491483330726624},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11524292826652527},{"id":"https://openalex.org/keywords/chromatography","display_name":"Chromatography","score":0.0861177146434784},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0760628879070282},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.06703650951385498}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7534453868865967},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6166536211967468},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6164470911026001},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5959709882736206},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5356307625770569},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.5219235420227051},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.5210441946983337},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5135369300842285},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.48248934745788574},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4171353578567505},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4105421006679535},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36556482315063477},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33491483330726624},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11524292826652527},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0861177146434784},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0760628879070282},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.06703650951385498},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm.2014.6999207","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2014.6999207","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.75}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1573770322","https://openalex.org/W1987170279","https://openalex.org/W1987818105","https://openalex.org/W1990794790","https://openalex.org/W2016928406","https://openalex.org/W2049118507","https://openalex.org/W2085577304","https://openalex.org/W2100751507","https://openalex.org/W2109070394","https://openalex.org/W2119387367","https://openalex.org/W2127713198","https://openalex.org/W2127976940","https://openalex.org/W2143426320","https://openalex.org/W2152269015","https://openalex.org/W2166521913","https://openalex.org/W6679091061"],"related_works":["https://openalex.org/W2090763504","https://openalex.org/W148178222","https://openalex.org/W2104657898","https://openalex.org/W1948992892","https://openalex.org/W1886884218","https://openalex.org/W1910826599","https://openalex.org/W2012353789","https://openalex.org/W2530420969","https://openalex.org/W2051187167","https://openalex.org/W1980100242"],"abstract_inverted_index":{"Protein-Protein":[0],"Interaction":[1],"(PPI)":[2],"extraction":[3,24],"from":[4,55],"literatures":[5,36],"is":[6,69,92],"becoming":[7],"a":[8],"more":[9,11],"and":[10,50,88,98,131],"significant":[12],"task":[13],"in":[14,65,77,105],"the":[15,33,61,66,70,78,96,100,108,122],"biomedical":[16],"information":[17],"extraction.":[18],"Though":[19],"many":[20],"methods":[21],"for":[22],"PPI":[23],"have":[25],"achieved":[26],"promising":[27],"results,":[28],"they":[29],"all":[30],"concentrated":[31],"on":[32],"abstracts":[34],"of":[35,72,102,129,134],"rather":[37],"than":[38],"full":[39,56],"texts.":[40,57],"In":[41,80],"this":[42],"paper,":[43],"we":[44],"append":[45],"full-text":[46],"features,":[47,87],"namely":[48],"Location":[49,58],"Co-occurrence":[51,68],"to":[52,94],"extract":[53],"PPIs":[54],"describes":[59],"where":[60],"protein":[62,74],"pair":[63,75],"appears":[64],"article.":[67,79],"frequency":[71],"each":[73],"occurring":[76],"addition,":[81],"syntactic":[82],"patterns":[83],"are":[84,111],"extracted":[85],"as":[86],"then":[89],"feature":[90,103],"selection":[91],"applied":[93],"improve":[95],"performance":[97],"reduce":[99],"dimension":[101],"vectors":[104],"SVM.":[106],"Finally,":[107],"selected":[109],"features":[110],"combined":[112],"with":[113],"two-level":[114],"DET":[115],"tree":[116],"kernel.":[117],"Experimental":[118],"results":[119],"show":[120],"that":[121],"presented":[123],"approach":[124],"can":[125],"achieve":[126],"an":[127,132],"F-score":[128],"74.46%":[130],"AUC":[133],"78.50%.":[135]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
