{"id":"https://openalex.org/W2775090896","doi":"https://doi.org/10.1109/bibm.2017.8217886","title":"A hybrid protein-protein interaction triple extraction method for biomedical literature","display_name":"A hybrid protein-protein interaction triple extraction method for biomedical literature","publication_year":2017,"publication_date":"2017-11-01","ids":{"openalex":"https://openalex.org/W2775090896","doi":"https://doi.org/10.1109/bibm.2017.8217886","mag":"2775090896"},"language":"en","primary_location":{"id":"doi:10.1109/bibm.2017.8217886","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2017.8217886","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 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/A5042620633","display_name":"Zhehuan Zhao","orcid":"https://orcid.org/0000-0002-5001-1352"},"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":"Zhehuan Zhao","raw_affiliation_strings":["College of Computer Science and Technology, Dalian University of Technology, Dalian"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Dalian University of Technology, Dalian","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051597671","display_name":"Zhihao Yang","orcid":"https://orcid.org/0000-0001-6186-2024"},"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":"Zhihao Yang","raw_affiliation_strings":["College of Computer Science and Technology, Dalian University of Technology, Dalian"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Dalian University of Technology, Dalian","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102828553","display_name":"Cong Sun","orcid":"https://orcid.org/0000-0003-0240-1070"},"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":"Cong Sun","raw_affiliation_strings":["College of Computer Science and Technology, Dalian University of Technology, Dalian"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Dalian University of Technology, Dalian","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100736263","display_name":"Lei Wang","orcid":"https://orcid.org/0000-0002-8420-6860"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lei Wang","raw_affiliation_strings":["Beijing Institute of Health Administration and Medical Information, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Institute of Health Administration and Medical Information, Beijing, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023931221","display_name":"Hongfei Lin","orcid":"https://orcid.org/0000-0003-0872-7688"},"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":"Hongfei Lin","raw_affiliation_strings":["College of Computer Science and Technology, Dalian University of Technology, Dalian"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Dalian University of Technology, Dalian","institution_ids":["https://openalex.org/I27357992"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1515","last_page":"1521"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9998000264167786,"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":0.9998000264167786,"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":0.984499990940094,"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":0.9725000262260437,"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":0.7203204035758972},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5928122997283936},{"id":"https://openalex.org/keywords/relationship-extraction","display_name":"Relationship extraction","score":0.5712432265281677},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.5576133728027344},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.5369842648506165},{"id":"https://openalex.org/keywords/protein\u2013protein-interaction","display_name":"Protein\u2013protein interaction","score":0.5085161924362183},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.4120488166809082},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35480016469955444},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3441801369190216},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3248349726200104},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.16931825876235962},{"id":"https://openalex.org/keywords/chromatography","display_name":"Chromatography","score":0.12840566039085388},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.07856592535972595}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7203204035758972},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5928122997283936},{"id":"https://openalex.org/C153604712","wikidata":"https://www.wikidata.org/wiki/Q7310755","display_name":"Relationship extraction","level":3,"score":0.5712432265281677},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.5576133728027344},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.5369842648506165},{"id":"https://openalex.org/C11804247","wikidata":"https://www.wikidata.org/wiki/Q896177","display_name":"Protein\u2013protein interaction","level":2,"score":0.5085161924362183},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.4120488166809082},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35480016469955444},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3441801369190216},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3248349726200104},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.16931825876235962},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.12840566039085388},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.07856592535972595},{"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/bibm.2017.8217886","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2017.8217886","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.49000000953674316,"id":"https://metadata.un.org/sdg/12","display_name":"Responsible consumption and production"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W181744008","https://openalex.org/W1493490255","https://openalex.org/W1550258693","https://openalex.org/W1990794790","https://openalex.org/W2048028417","https://openalex.org/W2060888586","https://openalex.org/W2069074200","https://openalex.org/W2095867585","https://openalex.org/W2100157745","https://openalex.org/W2102409316","https://openalex.org/W2115880858","https://openalex.org/W2120433106","https://openalex.org/W2122904379","https://openalex.org/W2129842875","https://openalex.org/W2132339004","https://openalex.org/W2138627627","https://openalex.org/W2147880316","https://openalex.org/W2159583324","https://openalex.org/W2165253681","https://openalex.org/W2166111585","https://openalex.org/W2166474856","https://openalex.org/W2167187514","https://openalex.org/W2250521169","https://openalex.org/W2251913848","https://openalex.org/W2296283641","https://openalex.org/W2485374661","https://openalex.org/W2573439338","https://openalex.org/W2915975108","https://openalex.org/W2962902328","https://openalex.org/W3140879122","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2352298027","https://openalex.org/W4319940250","https://openalex.org/W842810586","https://openalex.org/W2092919065","https://openalex.org/W4236762297","https://openalex.org/W3138801416","https://openalex.org/W2369351710","https://openalex.org/W2594363579","https://openalex.org/W2169232658","https://openalex.org/W2444550338"],"abstract_inverted_index":{"Protein-protein":[0],"interaction":[1,56,74,109],"extraction":[2,47,76,144],"research":[3],"can":[4,49],"be":[5],"widely":[6],"applied":[7],"to":[8,38,87,105],"the":[9,18,39,51,97,113,126,134,138],"field":[10],"of":[11,17,123],"life":[12],"science":[13],"research.":[14],"However,":[15],"most":[16],"machine":[19,82],"learning":[20,83],"based":[21,44,140],"methods":[22,48],"focus":[23],"on":[24,125],"binary":[25],"PPI":[26,52],"relation":[27],"extraction,":[28],"which":[29,129],"loses":[30],"rich":[31],"relationship":[32],"type":[33],"information":[34,46,143],"that":[35,111],"is":[36,130],"critical":[37],"PPIs":[40],"study.":[41],"The":[42],"rule":[43,139],"open":[45,142],"extract":[50,92],"triple":[53,75],"(i.e.":[54],"\u201cprotein1,":[55],"word,":[57],"protein2\u201d),":[58],"but":[59],"suffers":[60],"from":[61],"low":[62],"recall":[63],"rate":[64],"problem.":[65],"In":[66,78],"this":[67,79],"paper,":[68],"we":[69],"propose":[70],"a":[71,101],"hybrid":[72],"protein-protein":[73],"method.":[77,145],"method,":[80],"firstly,":[81],"techniques":[84],"are":[85,103],"used":[86],"recognize":[88],"protein":[89,94],"entities":[90],"and":[91,100],"relational":[93],"pairs.":[95],"Then,":[96],"syntactic":[98],"patterns":[99],"dictionary":[102],"employed":[104],"find":[106],"out":[107],"corresponding":[108],"words":[110],"represent":[112],"relationships":[114],"between":[115],"two":[116],"proteins.":[117],"This":[118],"method":[119],"obtains":[120],"an":[121],"F-score":[122],"40.18%":[124],"AImed":[127],"corpus,":[128],"much":[131],"higher":[132],"than":[133],"result":[135],"achieved":[136],"by":[137],"Stanford":[141]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
