{"id":"https://openalex.org/W4381744130","doi":"https://doi.org/10.1109/cscwd57460.2023.10152821","title":"ZoIE: A Zero-Shot Open Information Extraction Model Based on Language Model","display_name":"ZoIE: A Zero-Shot Open Information Extraction Model Based on Language Model","publication_year":2023,"publication_date":"2023-05-24","ids":{"openalex":"https://openalex.org/W4381744130","doi":"https://doi.org/10.1109/cscwd57460.2023.10152821"},"language":"en","primary_location":{"id":"doi:10.1109/cscwd57460.2023.10152821","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/cscwd57460.2023.10152821","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 26th International Conference on Computer Supported Cooperative Work in Design (CSCWD)","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/A5028754142","display_name":"Yufeng Fu","orcid":"https://orcid.org/0000-0001-7095-0472"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yufeng Fu","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia,Beijing,China,100876"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia,Beijing,China,100876","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054674052","display_name":"Xiangge Li","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangge Li","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia,Beijing,China,100876"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia,Beijing,China,100876","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063883538","display_name":"Ce Shang","orcid":"https://orcid.org/0000-0003-2207-7036"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ce Shang","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia,Beijing,China,100876"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia,Beijing,China,100876","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010337399","display_name":"Hong Luo","orcid":"https://orcid.org/0000-0002-0672-3440"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Luo","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia,Beijing,China,100876"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia,Beijing,China,100876","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007091805","display_name":"Yan Sun","orcid":"https://orcid.org/0000-0002-8192-9545"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Sun","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia,Beijing,China,100876"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia,Beijing,China,100876","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05685919,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"784","last_page":"789"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9991000294685364,"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":0.9991000294685364,"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":0.9970999956130981,"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"}},{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":0.9922000169754028,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.779731273651123},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.6005162596702576},{"id":"https://openalex.org/keywords/sorting","display_name":"Sorting","score":0.5474153757095337},{"id":"https://openalex.org/keywords/zero","display_name":"Zero (linguistics)","score":0.5271512866020203},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5259509086608887},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.5161848664283752},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.48320162296295166},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.44407689571380615},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4369535446166992},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.41089823842048645},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3557458221912384},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32639408111572266},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.27072927355766296},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.10389038920402527}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.779731273651123},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.6005162596702576},{"id":"https://openalex.org/C111696304","wikidata":"https://www.wikidata.org/wiki/Q2303697","display_name":"Sorting","level":2,"score":0.5474153757095337},{"id":"https://openalex.org/C2780813799","wikidata":"https://www.wikidata.org/wiki/Q3274237","display_name":"Zero (linguistics)","level":2,"score":0.5271512866020203},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5259509086608887},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.5161848664283752},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.48320162296295166},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.44407689571380615},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4369535446166992},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.41089823842048645},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3557458221912384},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32639408111572266},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.27072927355766296},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.10389038920402527},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"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/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cscwd57460.2023.10152821","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/cscwd57460.2023.10152821","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 26th International Conference on Computer Supported Cooperative Work in Design (CSCWD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1529731474","https://openalex.org/W2127978399","https://openalex.org/W2251913848","https://openalex.org/W2804778516","https://openalex.org/W2951902588","https://openalex.org/W2970959783","https://openalex.org/W3034617555","https://openalex.org/W3034985160","https://openalex.org/W3201244947","https://openalex.org/W4225646708","https://openalex.org/W4281488715","https://openalex.org/W4285246823"],"related_works":["https://openalex.org/W2739612537","https://openalex.org/W2349174696","https://openalex.org/W2360241746","https://openalex.org/W4313041667","https://openalex.org/W2767599893","https://openalex.org/W2381572297","https://openalex.org/W4298146145","https://openalex.org/W4388070314","https://openalex.org/W2106741186","https://openalex.org/W2368890809"],"abstract_inverted_index":{"Open":[0],"Information":[1],"Extraction":[2],"(Open":[3],"IE)":[4],"provides":[5],"a":[6,16,53,77,103],"method":[7,70,94],"to":[8,75,87],"extract":[9],"triplets":[10],"from":[11,117],"text,":[12],"which":[13,38],"has":[14],"become":[15],"research":[17],"frontier":[18],"and":[19,35,63,66,112],"hot":[20],"topic":[21],"in":[22],"recent":[23],"years.":[24],"However,":[25],"the":[26,42,68,83,93,109,114,118],"traditional":[27],"open":[28,55],"information":[29,56],"extraction":[30,45,57,90],"approaches":[31],"have":[32],"low":[33],"precision":[34],"significant":[36],"costs,":[37],"heavily":[39],"rely":[40],"on":[41,72,108,123],"artificially":[43],"defined":[44],"paradigm.":[46],"In":[47],"this":[48],"paper,":[49],"we":[50,60,81,101],"propose":[51],"ZoIE,":[52],"zero-shot":[54],"model.":[58,79],"First,":[59],"set":[61],"positive":[62],"negative":[64],"samples":[65],"use":[67,82],"pretraining":[69],"based":[71,107],"contrastive":[73],"learning":[74],"train":[76],"language":[78],"Then,":[80],"self-attention":[84],"weight":[85],"matrix":[86],"perform":[88],"triplet":[89,104,116],"by":[91],"using":[92],"of":[95],"nucleus":[96],"sampling":[97],"beam":[98],"search.":[99],"Finally,":[100],"construct":[102],"fine-sorting":[105],"strategy":[106],"loss":[110],"function":[111],"select":[113],"optimal":[115],"candidate":[119],"triplets.":[120],"Experimental":[121],"results":[122],"serveral":[124],"datasets":[125],"show":[126],"that":[127],"our":[128],"proposed":[129],"approach":[130],"achieves":[131],"better":[132],"performance":[133],"than":[134],"other":[135],"baselines.":[136]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
