{"id":"https://openalex.org/W2336914761","doi":"https://doi.org/10.1109/ialp.2015.7451542","title":"A two-step approach for event factuality identification","display_name":"A two-step approach for event factuality identification","publication_year":2015,"publication_date":"2015-10-01","ids":{"openalex":"https://openalex.org/W2336914761","doi":"https://doi.org/10.1109/ialp.2015.7451542","mag":"2336914761"},"language":"en","primary_location":{"id":"doi:10.1109/ialp.2015.7451542","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ialp.2015.7451542","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Asian Language Processing (IALP)","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/A5042912655","display_name":"Qian Zhong","orcid":"https://orcid.org/0000-0001-7651-7872"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhong Qian","raw_affiliation_strings":["Natural Language Processing Lab, School of Computer Science and Technology, Soochow University, Suzhou, China","Natural Language Processing Lab, School of Computer Science and Technology Soochow University, Suzhou, China"],"affiliations":[{"raw_affiliation_string":"Natural Language Processing Lab, School of Computer Science and Technology, Soochow University, Suzhou, China","institution_ids":["https://openalex.org/I3923682"]},{"raw_affiliation_string":"Natural Language Processing Lab, School of Computer Science and Technology Soochow University, Suzhou, China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092029603","display_name":"Peifeng Li","orcid":null},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peifeng Li","raw_affiliation_strings":["Natural Language Processing Lab, School of Computer Science and Technology, Soochow University, Suzhou, China","Natural Language Processing Lab, School of Computer Science and Technology Soochow University, Suzhou, China"],"affiliations":[{"raw_affiliation_string":"Natural Language Processing Lab, School of Computer Science and Technology, Soochow University, Suzhou, China","institution_ids":["https://openalex.org/I3923682"]},{"raw_affiliation_string":"Natural Language Processing Lab, School of Computer Science and Technology Soochow University, Suzhou, China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041805178","display_name":"Qiaoming Zhu","orcid":"https://orcid.org/0000-0002-2708-8976"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiaoming Zhu","raw_affiliation_strings":["Natural Language Processing Lab, School of Computer Science and Technology, Soochow University, Suzhou, China","Natural Language Processing Lab, School of Computer Science and Technology Soochow University, Suzhou, China"],"affiliations":[{"raw_affiliation_string":"Natural Language Processing Lab, School of Computer Science and Technology, Soochow University, Suzhou, China","institution_ids":["https://openalex.org/I3923682"]},{"raw_affiliation_string":"Natural Language Processing Lab, School of Computer Science and Technology Soochow University, Suzhou, China","institution_ids":["https://openalex.org/I3923682"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5042912655"],"corresponding_institution_ids":["https://openalex.org/I3923682"],"apc_list":null,"apc_paid":null,"fwci":1.2943,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.86849435,"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":"103","last_page":"106"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9973000288009644,"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/T10028","display_name":"Topic Modeling","score":0.9973000288009644,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9965000152587891,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9936000108718872,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.7335387468338013},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.6377118825912476},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.6158146262168884},{"id":"https://openalex.org/keywords/scope","display_name":"Scope (computer science)","score":0.6022137403488159},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5979426503181458},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5929700136184692},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.518928050994873},{"id":"https://openalex.org/keywords/certainty","display_name":"Certainty","score":0.5022175312042236},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4801042377948761},{"id":"https://openalex.org/keywords/principle-of-maximum-entropy","display_name":"Principle of maximum entropy","score":0.4504859149456024},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4374474883079529},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3594520092010498},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15634912252426147}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7335387468338013},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.6377118825912476},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.6158146262168884},{"id":"https://openalex.org/C2778012447","wikidata":"https://www.wikidata.org/wiki/Q1034415","display_name":"Scope (computer science)","level":2,"score":0.6022137403488159},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5979426503181458},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5929700136184692},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.518928050994873},{"id":"https://openalex.org/C7493553","wikidata":"https://www.wikidata.org/wiki/Q1520777","display_name":"Certainty","level":2,"score":0.5022175312042236},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4801042377948761},{"id":"https://openalex.org/C9679016","wikidata":"https://www.wikidata.org/wiki/Q1417473","display_name":"Principle of maximum entropy","level":2,"score":0.4504859149456024},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4374474883079529},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3594520092010498},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15634912252426147},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ialp.2015.7451542","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ialp.2015.7451542","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Asian Language Processing (IALP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.4399999976158142,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W30314283","https://openalex.org/W61127029","https://openalex.org/W2001856540","https://openalex.org/W2006766484","https://openalex.org/W2006941876","https://openalex.org/W2027344326","https://openalex.org/W2110871096","https://openalex.org/W2177655354","https://openalex.org/W2262894244","https://openalex.org/W2759872688","https://openalex.org/W6601179756","https://openalex.org/W6602518105","https://openalex.org/W6676699609","https://openalex.org/W6685534741"],"related_works":["https://openalex.org/W2418227039","https://openalex.org/W2387971622","https://openalex.org/W1559214593","https://openalex.org/W2141935323","https://openalex.org/W2418299857","https://openalex.org/W2466655349","https://openalex.org/W2348150032","https://openalex.org/W2266786133","https://openalex.org/W3041490575","https://openalex.org/W2970690932"],"abstract_inverted_index":{"This":[0],"paper":[1,13],"focuses":[2],"on":[3],"identifying":[4],"event":[5,61],"factuality.":[6],"Different":[7],"from":[8],"pervious":[9],"rule-based":[10,24,80],"method,":[11],"this":[12],"proposes":[14],"a":[15,27,46,72],"novel":[16],"two-step":[17,69],"approach":[18,70],"of":[19,39,41,48,77],"combining":[20],"machine":[21],"learning":[22],"and":[23,52],"approach.":[25],"Firstly,":[26],"maximum":[28],"entropy":[29],"model":[30],"is":[31,43,55],"constructed":[32],"to":[33,57],"determine":[34],"whether":[35],"the":[36,78],"informant's":[37],"degree":[38],"certainty":[40],"events":[42],"expressed.":[44],"Then,":[45],"set":[47],"rules":[49],"containing":[50],"cue":[51],"scope":[53],"detection":[54],"introduced":[56],"further":[58],"identify":[59],"various":[60],"factuality":[62],"values.":[63],"Experimental":[64],"results":[65],"manifest":[66],"that":[67,76],"our":[68],"achieves":[71],"higher":[73],"performance":[74],"than":[75],"state-of-the-art":[79],"system.":[81]},"counts_by_year":[{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
