{"id":"https://openalex.org/W4320507246","doi":"https://doi.org/10.1145/3579051.3579063","title":"Evaluation of Incremental Entity Extraction with Background Knowledge and Entity Linking","display_name":"Evaluation of Incremental Entity Extraction with Background Knowledge and Entity Linking","publication_year":2022,"publication_date":"2022-10-27","ids":{"openalex":"https://openalex.org/W4320507246","doi":"https://doi.org/10.1145/3579051.3579063"},"language":"en","primary_location":{"id":"doi:10.1145/3579051.3579063","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3579051.3579063","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 11th International Joint Conference on Knowledge Graphs","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/A5055496184","display_name":"Riccardo Pozzi","orcid":"https://orcid.org/0000-0002-4954-3837"},"institutions":[{"id":"https://openalex.org/I66752286","display_name":"University of Milano-Bicocca","ror":"https://ror.org/01ynf4891","country_code":"IT","type":"education","lineage":["https://openalex.org/I66752286"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Riccardo Pozzi","raw_affiliation_strings":["Department of Informatics, Systems and Communication, University of Milano-Bicocca, Italy"],"raw_orcid":"https://orcid.org/0000-0002-4954-3837","affiliations":[{"raw_affiliation_string":"Department of Informatics, Systems and Communication, University of Milano-Bicocca, Italy","institution_ids":["https://openalex.org/I66752286"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053820350","display_name":"Federico Moiraghi","orcid":"https://orcid.org/0000-0002-4613-8115"},"institutions":[{"id":"https://openalex.org/I4210131886","display_name":"SpazioDati (Italy)","ror":"https://ror.org/03ks3fa41","country_code":"IT","type":"company","lineage":["https://openalex.org/I4210131886"]},{"id":"https://openalex.org/I66752286","display_name":"University of Milano-Bicocca","ror":"https://ror.org/01ynf4891","country_code":"IT","type":"education","lineage":["https://openalex.org/I66752286"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Federico Moiraghi","raw_affiliation_strings":["Department of Informatics, Systems and Communication, University of Milano-Bicocca, Italy and Spazio Dati S.r.l, Italy"],"raw_orcid":"https://orcid.org/0000-0002-4613-8115","affiliations":[{"raw_affiliation_string":"Department of Informatics, Systems and Communication, University of Milano-Bicocca, Italy and Spazio Dati S.r.l, Italy","institution_ids":["https://openalex.org/I66752286","https://openalex.org/I4210131886"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020384751","display_name":"Fausto Lodi","orcid":"https://orcid.org/0000-0003-4506-2304"},"institutions":[{"id":"https://openalex.org/I66752286","display_name":"University of Milano-Bicocca","ror":"https://ror.org/01ynf4891","country_code":"IT","type":"education","lineage":["https://openalex.org/I66752286"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Fausto Lodi","raw_affiliation_strings":["Department of Informatics, Systems and Communication, University of Milano-Bicocca, Italy"],"raw_orcid":"https://orcid.org/0000-0003-4506-2304","affiliations":[{"raw_affiliation_string":"Department of Informatics, Systems and Communication, University of Milano-Bicocca, Italy","institution_ids":["https://openalex.org/I66752286"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065845420","display_name":"Matteo Palmonari","orcid":"https://orcid.org/0000-0002-1801-5118"},"institutions":[{"id":"https://openalex.org/I66752286","display_name":"University of Milano-Bicocca","ror":"https://ror.org/01ynf4891","country_code":"IT","type":"education","lineage":["https://openalex.org/I66752286"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Matteo Palmonari","raw_affiliation_strings":["Department of Informatics, Systems and Communication, University of Milano-Bicocca, Italy"],"raw_orcid":"https://orcid.org/0000-0002-1801-5118","affiliations":[{"raw_affiliation_string":"Department of Informatics, Systems and Communication, University of Milano-Bicocca, Italy","institution_ids":["https://openalex.org/I66752286"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5055496184"],"corresponding_institution_ids":["https://openalex.org/I66752286"],"apc_list":null,"apc_paid":null,"fwci":0.9571,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.82375304,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"30","last_page":"38"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12016","display_name":"Web Data Mining and Analysis","score":0.9991000294685364,"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"}},"topics":[{"id":"https://openalex.org/T12016","display_name":"Web Data Mining and Analysis","score":0.9991000294685364,"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":0.9987999796867371,"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"}},{"id":"https://openalex.org/T10679","display_name":"Service-Oriented Architecture and Web Services","score":0.9934999942779541,"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":0.7346489429473877},{"id":"https://openalex.org/keywords/entity-linking","display_name":"Entity linking","score":0.6431854963302612},{"id":"https://openalex.org/keywords/named-entity","display_name":"Named entity","score":0.4964373707771301},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.48593869805336},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.420634925365448},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.41451460123062134},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40332335233688354},{"id":"https://openalex.org/keywords/knowledge-base","display_name":"Knowledge base","score":0.22882544994354248},{"id":"https://openalex.org/keywords/chromatography","display_name":"Chromatography","score":0.0650164783000946}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7346489429473877},{"id":"https://openalex.org/C96711827","wikidata":"https://www.wikidata.org/wiki/Q17012245","display_name":"Entity linking","level":3,"score":0.6431854963302612},{"id":"https://openalex.org/C2777889803","wikidata":"https://www.wikidata.org/wiki/Q25047676","display_name":"Named entity","level":2,"score":0.4964373707771301},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.48593869805336},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.420634925365448},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.41451460123062134},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40332335233688354},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.22882544994354248},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0650164783000946},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3579051.3579063","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3579051.3579063","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 11th International Joint Conference on Knowledge Graphs","raw_type":"proceedings-article"},{"id":"pmh:oai:boa.unimib.it:10281/423118","is_oa":false,"landing_page_url":"https://hdl.handle.net/10281/423118","pdf_url":null,"source":{"id":"https://openalex.org/S4306401259","display_name":"BOA (University of Milano-Bicocca)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66752286","host_organization_name":"University of Milano-Bicocca","host_organization_lineage":["https://openalex.org/I66752286"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.6800000071525574,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W167809298","https://openalex.org/W1607035479","https://openalex.org/W1737751673","https://openalex.org/W2135451108","https://openalex.org/W2157944021","https://openalex.org/W2162362997","https://openalex.org/W2295096840","https://openalex.org/W2507397568","https://openalex.org/W2612649659","https://openalex.org/W2805224294","https://openalex.org/W2805327586","https://openalex.org/W2805435982","https://openalex.org/W2805723491","https://openalex.org/W2806769790","https://openalex.org/W2952826391","https://openalex.org/W2996857645","https://openalex.org/W2998702515","https://openalex.org/W3032553678","https://openalex.org/W3104748221","https://openalex.org/W3180536457","https://openalex.org/W4238846128","https://openalex.org/W4250890095","https://openalex.org/W4285286514"],"related_works":["https://openalex.org/W3140537242","https://openalex.org/W2186562580","https://openalex.org/W2155874911","https://openalex.org/W2015784841","https://openalex.org/W4288047282","https://openalex.org/W2032007337","https://openalex.org/W4255258373","https://openalex.org/W2485077425","https://openalex.org/W4390279576","https://openalex.org/W2098057544"],"abstract_inverted_index":{"Named":[0,84],"entity":[1,74,103,148,167],"extraction":[2,93,104,185,201,222],"is":[3],"a":[4,89,111,142,155,162],"crucial":[5],"task":[6,223],"to":[7,34,144,154,173],"support":[8],"the":[9,36,55,62,67,92,123,130,133,196,200,216,220,229,232],"population":[10],"of":[11,69,91,116,219,231],"Knowledge":[12],"Bases":[13],"(KBs)":[14],"from":[15],"documents":[16,27],"written":[17],"in":[18,22,61,122,199,224],"natural":[19],"language.":[20],"However,":[21],"many":[23],"application":[24],"domains,":[25],"these":[26],"must":[28],"be":[29,152],"collected":[30],"and":[31,71,80,128,181,192,207,227],"processed":[32],"incrementally":[33],"update":[35,129],"KB":[37,124,131],"as":[38,88,235,237],"more":[39],"data":[40],"are":[41,119],"ingested.":[42],"In":[43,95,210],"some":[44],"cases,":[45],"quality":[46],"concerns":[47],"may":[48],"even":[49],"require":[50],"human":[51],"validation":[52],"mechanisms":[53],"along":[54],"process.":[56,94],"While":[57],"very":[58],"recent":[59],"work":[60],"NLP":[63],"community":[64],"has":[65,77],"discussed":[66],"importance":[68],"evaluating":[70,159,165,178],"benchmarking":[72],"continuous":[73],"extraction,":[75,149],"it":[76],"proposed":[78],"methods":[79,105],"datasets":[81],"that":[82,106,118,187],"avoid":[83],"Entity":[85],"Linking":[86],"(NEL)":[87],"component":[90],"this":[96,138,171],"paper,":[97],"we":[98,140,214],"advocate":[99],"for":[100,158,164,177,195],"batch-based":[101],"incremental":[102,147,166,184,225],"can":[107,151],"exploit":[108],"NEL":[109,160,179],"with":[110,132],"background":[112],"KB,":[113],"detect":[114],"mentions":[115],"entities":[117],"not":[120],"present":[121,141],"yet":[125],"(NIL":[126],"mentions),":[127],"novel":[134],"entities.":[135],"Based":[136],"on":[137],"assumption,":[139],"methodology":[143,172],"evaluate":[145,182],"NEL-based":[146],"which":[150],"applied":[153],"\u201cstatic\u201d":[156],"dataset":[157,163],"into":[161],"extraction.":[168],"We":[169],"apply":[170],"an":[174,183],"existing":[175],"benchmark":[176],"algorithms,":[180],"pipeline":[186],"orchestrates":[188],"different":[189],"strong":[190],"state-of-the-art":[191],"baseline":[193],"algorithms":[194],"tasks":[197],"involved":[198],"process,":[202],"namely,":[203],"NEL,":[204],"NIL":[205,208],"prediction,":[206],"clustering.":[209],"presenting":[211],"our":[212],"experiments,":[213],"demonstrate":[215],"increased":[217],"difficulty":[218],"information":[221],"settings":[226],"discuss":[228],"strengths":[230],"available":[233],"solutions":[234],"well":[236],"open":[238],"challenges.":[239]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
