{"id":"https://openalex.org/W4409158310","doi":"https://doi.org/10.1145/3690624.3709427","title":"A Framework for Leveraging Partially-Labeled Data for Product Attribute-Value Identification","display_name":"A Framework for Leveraging Partially-Labeled Data for Product Attribute-Value Identification","publication_year":2025,"publication_date":"2025-04-04","ids":{"openalex":"https://openalex.org/W4409158310","doi":"https://doi.org/10.1145/3690624.3709427"},"language":"en","primary_location":{"id":"doi:10.1145/3690624.3709427","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3690624.3709427","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1","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/A5017480421","display_name":"D. Subhalingam","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"D. Subhalingam","raw_affiliation_strings":["KnowDis AI, Delhi, India"],"affiliations":[{"raw_affiliation_string":"KnowDis AI, Delhi, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027939157","display_name":"Keshav Kolluru","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Keshav Kolluru","raw_affiliation_strings":["KnowDis AI, Delhi, India"],"affiliations":[{"raw_affiliation_string":"KnowDis AI, Delhi, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042262991","display_name":"Mausam Mausam","orcid":"https://orcid.org/0000-0003-4088-4296"},"institutions":[{"id":"https://openalex.org/I68891433","display_name":"Indian Institute of Technology Delhi","ror":"https://ror.org/049tgcd06","country_code":"IN","type":"education","lineage":["https://openalex.org/I68891433"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Mausam","raw_affiliation_strings":["Indian Institute of Technology Delhi, Delhi, India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Delhi, Delhi, India","institution_ids":["https://openalex.org/I68891433"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5098724362","display_name":"Saurabh Singal","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Saurabh Singal","raw_affiliation_strings":["KnowDis AI, Delhi, India"],"affiliations":[{"raw_affiliation_string":"KnowDis AI, Delhi, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5017480421"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.6595,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.83116771,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"2560","last_page":"2571"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9865999817848206,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9865999817848206,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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":0.9779999852180481,"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/T11719","display_name":"Data Quality and Management","score":0.9771000146865845,"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":0.6697344779968262},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6518937349319458},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.5296131372451782},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.52643883228302},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3536838889122009},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.15670034289360046},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11492791771888733}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6697344779968262},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6518937349319458},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.5296131372451782},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.52643883228302},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3536838889122009},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.15670034289360046},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11492791771888733},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3690624.3709427","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3690624.3709427","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1969221592","https://openalex.org/W1975879668","https://openalex.org/W2020278455","https://openalex.org/W2024105308","https://openalex.org/W2132667892","https://openalex.org/W2164777277","https://openalex.org/W2805173585","https://openalex.org/W2951865668","https://openalex.org/W3034300118","https://openalex.org/W3034999214","https://openalex.org/W3185054725","https://openalex.org/W3196049532","https://openalex.org/W4212764525","https://openalex.org/W4234859835","https://openalex.org/W4236575201","https://openalex.org/W4283750777","https://openalex.org/W4285306484","https://openalex.org/W4287854712","https://openalex.org/W4302568324","https://openalex.org/W4385570423","https://openalex.org/W4385570676","https://openalex.org/W4385571705","https://openalex.org/W4389393499","https://openalex.org/W4400529373","https://openalex.org/W4400530533"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}