{"id":"https://openalex.org/W2775820411","doi":"https://doi.org/10.1007/978-3-319-72038-8_14","title":"Standard Co-training in Multiword Expression Detection","display_name":"Standard Co-training in Multiword Expression Detection","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2775820411","doi":"https://doi.org/10.1007/978-3-319-72038-8_14","mag":"2775820411"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-319-72038-8_14","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-319-72038-8_14","pdf_url":"https://link.springer.com/content/pdf/10.1007%2F978-3-319-72038-8_14.pdf","source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007%2F978-3-319-72038-8_14.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5032502490","display_name":"Senem Kumova Met\u0131n","orcid":"https://orcid.org/0000-0002-9606-3625"},"institutions":[{"id":"https://openalex.org/I15059493","display_name":"\u0130zmir University of Economics","ror":"https://ror.org/04hjr4202","country_code":"TR","type":"education","lineage":["https://openalex.org/I15059493"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Senem Kumova Metin","raw_affiliation_strings":["Department of Software Engineering, Faculty of Engineering, Izmir University of Economics, Sakarya Caddesi, No. 156, Izmir, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Software Engineering, Faculty of Engineering, Izmir University of Economics, Sakarya Caddesi, No. 156, Izmir, Turkey","institution_ids":["https://openalex.org/I15059493"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5032502490"],"corresponding_institution_ids":["https://openalex.org/I15059493"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":{"value":5000,"currency":"EUR","value_usd":5392},"fwci":0.0,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.16937769,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"178","last_page":"188"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9994000196456909,"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"}},{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9991999864578247,"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":0.853943943977356},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7131752967834473},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6487667560577393},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.617145836353302},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6122179627418518},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6072984337806702},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.5358594059944153},{"id":"https://openalex.org/keywords/co-training","display_name":"Co-training","score":0.4900718927383423},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.47706615924835205},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.47366341948509216},{"id":"https://openalex.org/keywords/labeled-data","display_name":"Labeled data","score":0.45871925354003906},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37957286834716797},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34688282012939453},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.24702244997024536},{"id":"https://openalex.org/keywords/semi-supervised-learning","display_name":"Semi-supervised learning","score":0.18178093433380127},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.07114455103874207}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.853943943977356},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7131752967834473},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6487667560577393},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.617145836353302},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6122179627418518},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6072984337806702},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.5358594059944153},{"id":"https://openalex.org/C2776959682","wikidata":"https://www.wikidata.org/wiki/Q17005296","display_name":"Co-training","level":3,"score":0.4900718927383423},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.47706615924835205},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.47366341948509216},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.45871925354003906},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37957286834716797},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34688282012939453},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.24702244997024536},{"id":"https://openalex.org/C58973888","wikidata":"https://www.wikidata.org/wiki/Q1041418","display_name":"Semi-supervised learning","level":2,"score":0.18178093433380127},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.07114455103874207},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-319-72038-8_14","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-319-72038-8_14","pdf_url":"https://link.springer.com/content/pdf/10.1007%2F978-3-319-72038-8_14.pdf","source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.1007/978-3-319-72038-8_14","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-319-72038-8_14","pdf_url":"https://link.springer.com/content/pdf/10.1007%2F978-3-319-72038-8_14.pdf","source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.8299999833106995,"display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G6813198863","display_name":"T\u00fcrk\u00e7e Metinlerde \u00c7ok S\u00f6zc\u00fckl\u00fc \u0130fadelerin Tespiti","funder_award_id":"115E469","funder_id":"https://openalex.org/F4320322626","funder_display_name":"T\u00fcrkiye Bilimsel ve Teknolojik Ara\u015ft\u0131rma Kurumu"}],"funders":[{"id":"https://openalex.org/F4320322626","display_name":"T\u00fcrkiye Bilimsel ve Teknolojik Ara\u015ft\u0131rma Kurumu","ror":"https://ror.org/04w9kkr77"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2775820411.pdf","grobid_xml":"https://content.openalex.org/works/W2775820411.grobid-xml"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W1484864026","https://openalex.org/W1505796919","https://openalex.org/W1509179932","https://openalex.org/W1579429723","https://openalex.org/W1590227036","https://openalex.org/W1630959083","https://openalex.org/W1885010341","https://openalex.org/W2037603696","https://openalex.org/W2048679005","https://openalex.org/W2097089247","https://openalex.org/W2122284941","https://openalex.org/W2137806537","https://openalex.org/W2145945659","https://openalex.org/W2148603752","https://openalex.org/W2149950545","https://openalex.org/W2164641162","https://openalex.org/W2167660864","https://openalex.org/W2273815277","https://openalex.org/W2502869113","https://openalex.org/W2576562174","https://openalex.org/W2725386421"],"related_works":["https://openalex.org/W2797776314","https://openalex.org/W4303683898","https://openalex.org/W1505796919","https://openalex.org/W2104788210","https://openalex.org/W2130553454","https://openalex.org/W2165396616","https://openalex.org/W121244246","https://openalex.org/W3117807895","https://openalex.org/W2766321935","https://openalex.org/W3183551524"],"abstract_inverted_index":{"Multiword":[0],"expressions":[1],"(MWEs)":[2],"are":[3,110,121,131],"units":[4],"in":[5,23,40,86,159],"language":[6,28,42],"where":[7,153],"multiple":[8],"words":[9],"unite":[10],"without":[11],"an":[12,37],"obvious/known":[13],"reason.":[14],"Since":[15],"MWEs":[16,32,105],"occupy":[17],"a":[18,51,59,70,124,134],"prominent":[19],"amount":[20],"of":[21,31,93,119,126,139],"space":[22],"both":[24],"written":[25],"and":[26,100,142],"spoken":[27],"materials,":[29],"identification":[30],"is":[33,69,156,166],"accepted":[34],"to":[35,57,81,88],"be":[36],"important":[38],"task":[39],"natural":[41],"processing.":[43],"In":[44,96],"this":[45],"paper,":[46],"considering":[47],"MWE":[48,136,145,160],"detection":[49,161],"as":[50,112],"binary":[52],"classification":[53],"task,":[54],"we":[55],"propose":[56],"use":[58],"semi-supervised":[60,71],"learning":[61],"algorithm,":[62],"standard":[63],"co-training":[64],"[":[65],"1":[66],"]":[67],"Co-training":[68],"method":[72],"that":[73,103,150],"employs":[74],"two":[75,78,113],"classifiers":[76,120],"with":[77,123],"different":[79,114,117],"views":[80],"label":[82],"unlabeled":[83],"data":[84,137],"iteratively":[85],"order":[87],"enlarge":[89],"the":[90,151,163],"training":[91,164],"sets":[92],"limited":[94],"size.":[95],"our":[97],"experiments,":[98],"linguistic":[99],"statistical":[101,154],"features":[102],"distinguish":[104],"from":[106],"random":[107],"word":[108],"combinations":[109],"utilized":[111],"views.":[115],"Two":[116],"pairs":[118],"employed":[122],"group":[125],"experimental":[127],"settings.":[128],"The":[129,147],"tests":[130],"performed":[132],"on":[133],"Turkish":[135],"set":[138,165],"3946":[140],"positive":[141],"4230":[143],"negative":[144],"candidates.":[146],"results":[148],"showed":[149],"classifier":[152],"view":[155],"considered":[157],"succeeds":[158],"when":[162],"enlarged":[167],"by":[168],"co-training.":[169]},"counts_by_year":[{"year":2021,"cited_by_count":2}],"updated_date":"2026-08-04T08:18:43.703281","created_date":"2025-10-10T00:00:00"}
