{"id":"https://openalex.org/W4286908394","doi":"https://doi.org/10.1145/3487553.3524234","title":"Cross-Language Learning for Product Matching","display_name":"Cross-Language Learning for Product Matching","publication_year":2022,"publication_date":"2022-04-25","ids":{"openalex":"https://openalex.org/W4286908394","doi":"https://doi.org/10.1145/3487553.3524234"},"language":"en","primary_location":{"id":"doi:10.1145/3487553.3524234","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3487553.3524234","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3487553.3524234","source":{"id":"https://openalex.org/S4363608846","display_name":"Companion Proceedings of the Web Conference 2022","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":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of the Web Conference 2022","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3487553.3524234","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5082603069","display_name":"Ralph Peeters","orcid":"https://orcid.org/0000-0003-3174-2616"},"institutions":[{"id":"https://openalex.org/I177802217","display_name":"University of Mannheim","ror":"https://ror.org/031bsb921","country_code":"DE","type":"education","lineage":["https://openalex.org/I177802217"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Ralph Peeters","raw_affiliation_strings":["Data and Web Science Group, University of Mannheim, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Data and Web Science Group, University of Mannheim, Germany","institution_ids":["https://openalex.org/I177802217"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076876024","display_name":"Christian Bizer","orcid":"https://orcid.org/0000-0003-2367-0237"},"institutions":[{"id":"https://openalex.org/I177802217","display_name":"University of Mannheim","ror":"https://ror.org/031bsb921","country_code":"DE","type":"education","lineage":["https://openalex.org/I177802217"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Christian Bizer","raw_affiliation_strings":["Data and Web Science Group, University of Mannheim, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Data and Web Science Group, University of Mannheim, Germany","institution_ids":["https://openalex.org/I177802217"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I177802217"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"236","last_page":"238"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":0.9993000030517578,"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"}},"topics":[{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":0.9993000030517578,"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/T10028","display_name":"Topic Modeling","score":0.9987999796867371,"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":0.9962000250816345,"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":0.7724510431289673},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.7693832516670227},{"id":"https://openalex.org/keywords/schema-matching","display_name":"Schema matching","score":0.729433000087738},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6328296661376953},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.5634783506393433},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.529199481010437},{"id":"https://openalex.org/keywords/german","display_name":"German","score":0.49645930528640747},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4581195116043091},{"id":"https://openalex.org/keywords/schema","display_name":"Schema (genetic algorithms)","score":0.4133608341217041},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3334527909755707},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.25008612871170044},{"id":"https://openalex.org/keywords/data-integration","display_name":"Data integration","score":0.13314741849899292},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11570969223976135},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.11286556720733643},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09402057528495789},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.08643010258674622}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7724510431289673},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.7693832516670227},{"id":"https://openalex.org/C2777327318","wikidata":"https://www.wikidata.org/wiki/Q1408390","display_name":"Schema matching","level":3,"score":0.729433000087738},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6328296661376953},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.5634783506393433},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.529199481010437},{"id":"https://openalex.org/C154775046","wikidata":"https://www.wikidata.org/wiki/Q188","display_name":"German","level":2,"score":0.49645930528640747},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4581195116043091},{"id":"https://openalex.org/C52146309","wikidata":"https://www.wikidata.org/wiki/Q7431116","display_name":"Schema (genetic algorithms)","level":2,"score":0.4133608341217041},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3334527909755707},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.25008612871170044},{"id":"https://openalex.org/C72634772","wikidata":"https://www.wikidata.org/wiki/Q386824","display_name":"Data integration","level":2,"score":0.13314741849899292},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11570969223976135},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.11286556720733643},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09402057528495789},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.08643010258674622},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3487553.3524234","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3487553.3524234","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3487553.3524234","source":{"id":"https://openalex.org/S4363608846","display_name":"Companion Proceedings of the Web Conference 2022","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":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of the Web Conference 2022","raw_type":"proceedings-article"},{"id":"pmh:oai:ub-madoc.bib.uni-mannheim.de:62662","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4377196315","display_name":"MADOC (University of Mannheim)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I177802217","host_organization_name":"University of Mannheim","host_organization_lineage":["https://openalex.org/I177802217"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"Konferenzver\u00f6ffentlichung"}],"best_oa_location":{"id":"doi:10.1145/3487553.3524234","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3487553.3524234","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3487553.3524234","source":{"id":"https://openalex.org/S4363608846","display_name":"Companion Proceedings of the Web Conference 2022","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":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of the Web Conference 2022","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4286908394.pdf","grobid_xml":"https://content.openalex.org/works/W4286908394.grobid-xml"},"referenced_works_count":12,"referenced_works":["https://openalex.org/W2595551253","https://openalex.org/W2769280657","https://openalex.org/W2890187992","https://openalex.org/W2896457183","https://openalex.org/W2945883855","https://openalex.org/W2964263523","https://openalex.org/W3014705052","https://openalex.org/W3035390927","https://openalex.org/W3080800398","https://openalex.org/W3104723404","https://openalex.org/W3123375411","https://openalex.org/W3174836606"],"related_works":["https://openalex.org/W2471940468","https://openalex.org/W4226075635","https://openalex.org/W3130973930","https://openalex.org/W2047599596","https://openalex.org/W2372910313","https://openalex.org/W1528218860","https://openalex.org/W2406112091","https://openalex.org/W2125859764","https://openalex.org/W2029826694","https://openalex.org/W2159303222"],"abstract_inverted_index":{"Transformer-based":[0,30,83],"entity":[1],"matching":[2,14,18,31,66,125,180],"methods":[3,32],"have":[4],"significantly":[5],"moved":[6],"the":[7,10,62,80,94,117,124,134,167],"state":[8],"of":[9,37,65,82,90,105,132,150],"art":[11],"for":[12,51,177],"less-structured":[13],"tasks":[15],"such":[16],"as":[17],"product":[19,53,67,179],"offers":[20,68],"in":[21,93,98,127,140,143],"e-commerce.":[22],"In":[23],"order":[24],"to":[25,72,78,160],"excel":[26],"at":[27],"these":[28],"tasks,":[29],"require":[33],"a":[34,49,87,102,146],"decent":[35],"amount":[36],"training":[38,42,91,107,164],"pairs.":[39,108],"Providing":[40],"enough":[41],"data":[43],"can":[44],"be":[45,56],"challenging,":[46],"especially":[47,138],"if":[48],"matcher":[50],"non-English":[52,151],"descriptions":[54],"should":[55],"learned.":[57],"This":[58],"poster":[59],"explores":[60],"along":[61],"use":[63],"case":[64],"from":[69,166],"different":[70,112],"e-shops":[71],"which":[73,144],"extent":[74],"it":[75,156],"is":[76,137,153,157],"possible":[77,159],"improve":[79],"performance":[81,126],"matchers":[84],"by":[85,169],"complementing":[86],"small":[88,148],"set":[89,104,119],"pairs":[92,122,136,152,165],"target":[95],"language,":[96],"German":[97,118],"our":[99,173],"case,":[100],"with":[101,120],"larger":[103],"English-language":[106],"Our":[109],"experiments":[110],"using":[111],"Transformers":[113],"show":[114],"that":[115],"extending":[116],"English":[121,135,163],"improves":[123],"all":[128],"cases.":[129],"The":[130],"impact":[131],"adding":[133],"high":[139],"low-resource":[141,183],"settings":[142],"only":[145],"rather":[147],"number":[149],"available.":[154],"As":[155],"often":[158],"automatically":[161],"gather":[162],"Web":[168],"exploiting":[170],"schema.org":[171],"annotations,":[172],"results":[174],"are":[175],"relevant":[176],"many":[178],"scenarios":[181],"targeting":[182],"languages.":[184]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2022-07-25T00:00:00"}
