{"id":"https://openalex.org/W2144569855","doi":"https://doi.org/10.1145/1458449.1458463","title":"The role of syntactic features in protein interaction extraction","display_name":"The role of syntactic features in protein interaction extraction","publication_year":2008,"publication_date":"2008-10-30","ids":{"openalex":"https://openalex.org/W2144569855","doi":"https://doi.org/10.1145/1458449.1458463","mag":"2144569855"},"language":"en","primary_location":{"id":"doi:10.1145/1458449.1458463","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1458449.1458463","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd international workshop on Data and text mining in bioinformatics","raw_type":"proceedings-article"},"type":"article","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/A5069592565","display_name":"Timur Fayruzov","orcid":null},"institutions":[{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]},{"id":"https://openalex.org/I2801227569","display_name":"Ghent University Hospital","ror":"https://ror.org/00xmkp704","country_code":"BE","type":"healthcare","lineage":["https://openalex.org/I2801227569"]}],"countries":["BE"],"is_corresponding":true,"raw_author_name":"Timur Fayruzov","raw_affiliation_strings":["Ghent University, Ghent, Belgium","[Ghent University, Ghent, BeLgium]"],"affiliations":[{"raw_affiliation_string":"Ghent University, Ghent, Belgium","institution_ids":["https://openalex.org/I2801227569"]},{"raw_affiliation_string":"[Ghent University, Ghent, BeLgium]","institution_ids":["https://openalex.org/I32597200"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056749857","display_name":"Martine De Cock","orcid":"https://orcid.org/0000-0001-7917-0771"},"institutions":[{"id":"https://openalex.org/I2801227569","display_name":"Ghent University Hospital","ror":"https://ror.org/00xmkp704","country_code":"BE","type":"healthcare","lineage":["https://openalex.org/I2801227569"]},{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Martine De Cock","raw_affiliation_strings":["Ghent University, Ghent, Belgium","[Ghent University, Ghent, BeLgium]"],"affiliations":[{"raw_affiliation_string":"Ghent University, Ghent, Belgium","institution_ids":["https://openalex.org/I2801227569"]},{"raw_affiliation_string":"[Ghent University, Ghent, BeLgium]","institution_ids":["https://openalex.org/I32597200"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091486233","display_name":"Chris Cornelis","orcid":"https://orcid.org/0000-0002-6852-4041"},"institutions":[{"id":"https://openalex.org/I2801227569","display_name":"Ghent University Hospital","ror":"https://ror.org/00xmkp704","country_code":"BE","type":"healthcare","lineage":["https://openalex.org/I2801227569"]},{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Chris Cornelis","raw_affiliation_strings":["Ghent University, Ghent, Belgium","[Ghent University, Ghent, BeLgium]"],"affiliations":[{"raw_affiliation_string":"Ghent University, Ghent, Belgium","institution_ids":["https://openalex.org/I2801227569"]},{"raw_affiliation_string":"[Ghent University, Ghent, BeLgium]","institution_ids":["https://openalex.org/I32597200"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019867041","display_name":"V\u00e9ronique Hoste","orcid":"https://orcid.org/0000-0002-0539-4630"},"institutions":[{"id":"https://openalex.org/I12607205","display_name":"University College Ghent","ror":"https://ror.org/00rs45z86","country_code":"BE","type":"education","lineage":["https://openalex.org/I12607205"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Veronique Hoste","raw_affiliation_strings":["University College Ghent, Ghent, Belgium"],"affiliations":[{"raw_affiliation_string":"University College Ghent, Ghent, Belgium","institution_ids":["https://openalex.org/I12607205"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5069592565"],"corresponding_institution_ids":["https://openalex.org/I2801227569","https://openalex.org/I32597200"],"apc_list":null,"apc_paid":null,"fwci":0.9427,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.74600075,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"61","last_page":"68"},"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/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9940999746322632,"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/T10028","display_name":"Topic Modeling","score":0.9882000088691711,"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":0.8655439615249634},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6928967237472534},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6435631513595581},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6366760730743408},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6238415837287903},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.5545147657394409},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5390588045120239},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5310789942741394},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5155848860740662},{"id":"https://openalex.org/keywords/syntactic-structure","display_name":"Syntactic structure","score":0.5079270005226135},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.41805875301361084},{"id":"https://openalex.org/keywords/syntax","display_name":"Syntax","score":0.2370603084564209},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.10474291443824768},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.08079636096954346}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8655439615249634},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6928967237472534},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6435631513595581},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6366760730743408},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6238415837287903},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.5545147657394409},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5390588045120239},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5310789942741394},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5155848860740662},{"id":"https://openalex.org/C2986991398","wikidata":"https://www.wikidata.org/wiki/Q37437","display_name":"Syntactic structure","level":3,"score":0.5079270005226135},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.41805875301361084},{"id":"https://openalex.org/C60048249","wikidata":"https://www.wikidata.org/wiki/Q37437","display_name":"Syntax","level":2,"score":0.2370603084564209},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.10474291443824768},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.08079636096954346},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1458449.1458463","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1458449.1458463","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd international workshop on Data and text mining in bioinformatics","raw_type":"proceedings-article"},{"id":"pmh:oai:archive.ugent.be:624022","is_oa":false,"landing_page_url":"http://hdl.handle.net/1854/LU-624022","pdf_url":null,"source":{"id":"https://openalex.org/S4306400478","display_name":"Ghent University Academic Bibliography (Ghent University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I32597200","host_organization_name":"Ghent University","host_organization_lineage":["https://openalex.org/I32597200"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISBN: 9781605582511","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.6299999952316284}],"awards":[],"funders":[{"id":"https://openalex.org/F4320327336","display_name":"Vlaamse regering","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W151685798","https://openalex.org/W1493270114","https://openalex.org/W1498990157","https://openalex.org/W1508977358","https://openalex.org/W1528934735","https://openalex.org/W1558318887","https://openalex.org/W1560724230","https://openalex.org/W1576213419","https://openalex.org/W1580184797","https://openalex.org/W1850865022","https://openalex.org/W1976526581","https://openalex.org/W1987170279","https://openalex.org/W2029304247","https://openalex.org/W2097960255","https://openalex.org/W2119821739","https://openalex.org/W2120814856","https://openalex.org/W2121844933","https://openalex.org/W2127713198","https://openalex.org/W2141605886","https://openalex.org/W2157825442","https://openalex.org/W2163362093","https://openalex.org/W2166474856","https://openalex.org/W2169974160","https://openalex.org/W2342313026","https://openalex.org/W6679091061"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W4321353415","https://openalex.org/W2745001401","https://openalex.org/W2130974462","https://openalex.org/W2028665553","https://openalex.org/W2389617280","https://openalex.org/W2384632519","https://openalex.org/W2168778844","https://openalex.org/W2098784136","https://openalex.org/W2029994790"],"abstract_inverted_index":{"Most":[0],"approaches":[1],"for":[2],"protein":[3],"interaction":[4],"mining":[5,30],"from":[6],"biomedical":[7],"texts":[8],"use":[9],"both":[10,60],"lexical":[11,61],"and":[12,62,91,124],"syntactic":[13,63,84],"features.":[14,64,85],"However,":[15],"the":[16,26,29,52,82,89,92,112,133,138,145],"individual":[17],"impact":[18],"of":[19,23,28,51,81],"these":[20],"two":[21],"kinds":[22],"features":[24],"on":[25,46,98],"effectiveness":[27],"process":[31],"has":[32],"not":[33,129,141],"yet":[34],"been":[35],"thoroughly":[36],"studied.":[37],"In":[38],"this":[39,66,70],"paper,":[40],"we":[41,68,87],"perform":[42],"such":[43],"a":[44,47,79,116],"study":[45],"recently":[48],"published":[49],"state":[50],"art":[53],"support":[54],"vector":[55],"machine":[56],"approach":[57,71],"that":[58,76],"uses":[59,77],"To":[65],"end,":[67],"strip":[69],"down":[72],"to":[73],"an":[74],"algorithm":[75],"only":[78],"subset":[80],"initial":[83],"Next,":[86],"compare":[88],"original":[90,113],"stripped-down":[93,134],"method":[94,114],"by":[95,105],"evaluating":[96],"them":[97],"5":[99,107],"benchmark":[100],"datasets":[101],"as":[102,104],"well":[103],"performing":[106],"additional":[108],"cross-dataset":[109],"experiments.":[110],"Although":[111],"exploits":[115],"very":[117],"rich":[118],"feature":[119],"set":[120],"including":[121],"words,":[122],"parts-of-speech":[123],"grammatical":[125],"relations,":[126],"it":[127],"is":[128],"significantly":[130],"better":[131],"than":[132],"version;":[135],"in":[136],"fact,":[137],"former":[139],"does":[140],"even":[142],"consistently":[143],"outperform":[144],"latter.":[146]},"counts_by_year":[{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}