{"id":"https://openalex.org/W2043182706","doi":"https://doi.org/10.1109/ijcnn.2012.6252548","title":"Connective prediction using machine learning for implicit discourse relation classification","display_name":"Connective prediction using machine learning for implicit discourse relation classification","publication_year":2012,"publication_date":"2012-06-01","ids":{"openalex":"https://openalex.org/W2043182706","doi":"https://doi.org/10.1109/ijcnn.2012.6252548","mag":"2043182706"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2012.6252548","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2012.6252548","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2012 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://zenodo.org/record/1273245","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5068437924","display_name":"Yu Xu","orcid":"https://orcid.org/0000-0002-0574-1460"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Xu","raw_affiliation_strings":["East China Normal University, China","East China Normal University (China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"East China Normal University, China","institution_ids":["https://openalex.org/I66867065"]},{"raw_affiliation_string":"East China Normal University (China)","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057508424","display_name":"Man Lan","orcid":"https://orcid.org/0000-0002-1423-1286"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Man Lan","raw_affiliation_strings":["East China Normal University, China","East China Normal University (China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"East China Normal University, China","institution_ids":["https://openalex.org/I66867065"]},{"raw_affiliation_string":"East China Normal University (China)","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101615349","display_name":"Yue Lu","orcid":"https://orcid.org/0000-0002-8784-4657"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Lu","raw_affiliation_strings":["East China Normal University, China","East China Normal University (China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"East China Normal University, China","institution_ids":["https://openalex.org/I66867065"]},{"raw_affiliation_string":"East China Normal University (China)","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113770655","display_name":"Zheng Niu","orcid":null},"institutions":[{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zheng Yu Niu","raw_affiliation_strings":["Baidu.com, Inc., Beijing, China","Baidu. com, Inc., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Baidu.com, Inc., Beijing, China","institution_ids":["https://openalex.org/I98301712"]},{"raw_affiliation_string":"Baidu. com, Inc., Beijing, China","institution_ids":["https://openalex.org/I98301712"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111664929","display_name":"Chew Lim Tan","orcid":null},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Chew Lim Tan","raw_affiliation_strings":["National University of Singapore, Singapore","Nat. Univ. of Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]},{"raw_affiliation_string":"Nat. Univ. of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.9286,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.8570068,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9990000128746033,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9988999962806702,"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/treebank","display_name":"Treebank","score":0.9190866947174072},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.8222000002861023},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8040742874145508},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6945369839668274},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6636751294136047},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5527313947677612},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3694685995578766},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.12457025051116943},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.10624536871910095}],"concepts":[{"id":"https://openalex.org/C206134035","wikidata":"https://www.wikidata.org/wiki/Q811525","display_name":"Treebank","level":3,"score":0.9190866947174072},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.8222000002861023},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8040742874145508},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6945369839668274},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6636751294136047},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5527313947677612},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3694685995578766},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.12457025051116943},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.10624536871910095},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/ijcnn.2012.6252548","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2012.6252548","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2012 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.432.4032","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.432.4032","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.comp.nus.edu.sg/~tancl/publications/c2012/IJCNN2012-Final.pdf","raw_type":"text"},{"id":"pmh:oai:scholarbank.nus.edu.sg:10635/41557","is_oa":false,"landing_page_url":"http://scholarbank.nus.edu.sg/handle/10635/41557","pdf_url":null,"source":{"id":"https://openalex.org/S7407052290","display_name":"National University of Singapore","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Scopus","raw_type":"Conference Paper"},{"id":"pmh:oai:zenodo.org:1273245","is_oa":true,"landing_page_url":"https://zenodo.org/record/1273245","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferencePaper"}],"best_oa_location":{"id":"pmh:oai:zenodo.org:1273245","is_oa":true,"landing_page_url":"https://zenodo.org/record/1273245","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferencePaper"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.699999988079071}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W21113628","https://openalex.org/W69166397","https://openalex.org/W102059219","https://openalex.org/W102951417","https://openalex.org/W190448879","https://openalex.org/W1581597064","https://openalex.org/W2034087555","https://openalex.org/W2040960947","https://openalex.org/W2044599851","https://openalex.org/W2045738181","https://openalex.org/W2082118847","https://openalex.org/W2109352923","https://openalex.org/W2109462987","https://openalex.org/W2120580278","https://openalex.org/W2124169982","https://openalex.org/W2131861279","https://openalex.org/W2140127231","https://openalex.org/W2140575992","https://openalex.org/W2150424524","https://openalex.org/W2152197045","https://openalex.org/W2153365547","https://openalex.org/W2154407881","https://openalex.org/W2163107094","https://openalex.org/W2166957049","https://openalex.org/W2170496269","https://openalex.org/W2607879133","https://openalex.org/W6600848628","https://openalex.org/W6604116637","https://openalex.org/W6604206617","https://openalex.org/W6678364712","https://openalex.org/W6680755493","https://openalex.org/W6680957211","https://openalex.org/W6684468177"],"related_works":["https://openalex.org/W1486183509","https://openalex.org/W2538153677","https://openalex.org/W2940288729","https://openalex.org/W23456204","https://openalex.org/W1987996389","https://openalex.org/W2354689652","https://openalex.org/W975092633","https://openalex.org/W3135607784","https://openalex.org/W2098236769","https://openalex.org/W2252206818"],"abstract_inverted_index":{"Implicit":[0],"discourse":[1,11,37,52,65,73,79,87],"relation":[2,53],"classification":[3],"is":[4,32,81],"a":[5,44],"challenge":[6],"task":[7],"due":[8],"to":[9,24,33,50,61,83],"missing":[10],"connective.":[12,38],"Some":[13],"work":[14],"directly":[15],"adopted":[16],"machine":[17,47,58],"learning":[18,59],"algorithms":[19],"and":[20,96,112],"linguistically":[21],"informed":[22],"features":[23],"address":[25],"this":[26,40],"task.":[27],"However,":[28],"one":[29],"interesting":[30],"solution":[31],"automatically":[34,62],"predict":[35,63],"implicit":[36,51,72,78,86],"In":[39],"paper,":[41],"we":[42],"present":[43],"novel":[45],"two-step":[46],"learning-based":[48],"approach":[49],"classification.":[54],"We":[55],"first":[56],"use":[57],"method":[60,105],"the":[64,71,76,85,109],"connective":[66,80],"that":[67,103],"can":[68],"best":[69],"express":[70],"relation.":[74,88],"Then":[75],"predicted":[77],"used":[82],"classify":[84],"Experiments":[89],"on":[90],"Penn":[91],"Discourse":[92,98],"Treebank":[93],"2.0":[94],"(PDTB)":[95],"Biomedical":[97],"Relation":[99],"Bank":[100],"(BioDRB)":[101],"show":[102],"our":[104],"performs":[106],"better":[107],"than":[108],"baseline":[110],"system":[111],"previous":[113],"work.":[114]},"counts_by_year":[{"year":2021,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-08-26T07:47:46.906454","created_date":"2025-10-10T00:00:00"}