{"id":"https://openalex.org/W2611907972","doi":"https://doi.org/10.1145/3025453.3025540","title":"SEER","display_name":"SEER","publication_year":2017,"publication_date":"2017-05-02","ids":{"openalex":"https://openalex.org/W2611907972","doi":"https://doi.org/10.1145/3025453.3025540","mag":"2611907972"},"language":"en","primary_location":{"id":"doi:10.1145/3025453.3025540","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3025453.3025540","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=3025540&type=pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"http://dl.acm.org/ft_gateway.cfm?id=3025540&type=pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5085409429","display_name":"Maeda F. Hanafi","orcid":"https://orcid.org/0009-0005-6663-2320"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Maeda F. Hanafi","raw_affiliation_strings":["New York University - Abu Dhabi, Abu Dhabi, UAE"],"affiliations":[{"raw_affiliation_string":"New York University - Abu Dhabi, Abu Dhabi, UAE","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044418740","display_name":"Azza Abouzied","orcid":"https://orcid.org/0000-0003-4273-2536"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Azza Abouzied","raw_affiliation_strings":["New York University - Abu Dhabi, Abu Dhabi, UAE"],"affiliations":[{"raw_affiliation_string":"New York University - Abu Dhabi, Abu Dhabi, UAE","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050310059","display_name":"Laura Chiticariu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210085935","display_name":"IBM Research - Almaden","ror":"https://ror.org/005w8dd04","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210085935","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Laura Chiticariu","raw_affiliation_strings":["IBM Research - Almaden, San Jose, CA, USA"],"affiliations":[{"raw_affiliation_string":"IBM Research - Almaden, San Jose, CA, USA","institution_ids":["https://openalex.org/I4210085935"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102944075","display_name":"Yunyao Li","orcid":"https://orcid.org/0009-0002-0814-4634"},"institutions":[{"id":"https://openalex.org/I4210085935","display_name":"IBM Research - Almaden","ror":"https://ror.org/005w8dd04","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210085935","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yunyao Li","raw_affiliation_strings":["IBM Research - Almaden, San Jose, CA, USA"],"affiliations":[{"raw_affiliation_string":"IBM Research - Almaden, San Jose, CA, USA","institution_ids":["https://openalex.org/I4210085935"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5085409429"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.0467,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":{"value":0.94534125,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"6672","last_page":"6682"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12016","display_name":"Web Data Mining and Analysis","score":0.9991999864578247,"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":0.9991999864578247,"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":0.9965000152587891,"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":0.9948999881744385,"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":0.8293164968490601},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.6075922250747681},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.5277227163314819},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4240562915802002},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4033212661743164},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40081191062927246},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.09506332874298096}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8293164968490601},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.6075922250747681},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.5277227163314819},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4240562915802002},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4033212661743164},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40081191062927246},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.09506332874298096},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3025453.3025540","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3025453.3025540","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=3025540&type=pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3025453.3025540","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3025453.3025540","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=3025540&type=pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.7200000286102295,"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8"}],"awards":[{"id":"https://openalex.org/G1800021237","display_name":null,"funder_award_id":"1420941","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7101310381","display_name":null,"funder_award_id":"IIS-1420941","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G848032724","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2611907972.pdf","grobid_xml":"https://content.openalex.org/works/W2611907972.grobid-xml"},"referenced_works_count":31,"referenced_works":["https://openalex.org/W110459546","https://openalex.org/W790941020","https://openalex.org/W1499578805","https://openalex.org/W1763375142","https://openalex.org/W1908162016","https://openalex.org/W1934019294","https://openalex.org/W2038941723","https://openalex.org/W2064766209","https://openalex.org/W2098961002","https://openalex.org/W2104759087","https://openalex.org/W2106950427","https://openalex.org/W2107391405","https://openalex.org/W2110367654","https://openalex.org/W2120814856","https://openalex.org/W2134150392","https://openalex.org/W2137406659","https://openalex.org/W2138627627","https://openalex.org/W2144951274","https://openalex.org/W2147880316","https://openalex.org/W2158941357","https://openalex.org/W2162340487","https://openalex.org/W2163844356","https://openalex.org/W2182787248","https://openalex.org/W2252132648","https://openalex.org/W2256286896","https://openalex.org/W2268628077","https://openalex.org/W2275294428","https://openalex.org/W2280007467","https://openalex.org/W2291836114","https://openalex.org/W3006287016","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"Time-consuming":[0],"and":[1,30,53,86],"complicated":[2],"best":[3,58],"describe":[4],"the":[5,9,57,82],"current":[6],"state":[7],"of":[8,22,59,74],"Information":[10],"Extraction":[11],"(IE)":[12],"field.":[13],"Machine":[14],"learning":[15,64],"approaches":[16],"to":[17,28],"IE":[18,48,67,103],"require":[19],"large":[20],"collections":[21],"labeled":[23],"datasets":[24],"that":[25,39,109],"are":[26,40,50],"difficult":[27],"create":[29,102],"use":[31],"obscure":[32],"mathematical":[33],"models,":[34],"occasionally":[35],"returning":[36],"unwanted":[37],"results":[38,107],"unexplainable.":[41],"Rule-based":[42],"approaches,":[43],"while":[44],"resulting":[45],"in":[46,99],"easy-to-understand":[47],"rules,":[49],"still":[51],"time-consuming":[52],"labor-intensive.":[54],"SEER":[55,85,110],"combines":[56],"these":[60],"two":[61],"approaches:":[62],"a":[63,71,88,95],"model":[65],"for":[66],"rules":[68,104],"based":[69],"on":[70],"small":[72],"number":[73],"user-specified":[75],"examples.":[76],"In":[77],"this":[78],"paper,":[79],"we":[80],"explain":[81],"design":[83],"behind":[84],"present":[87],"user":[89],"study":[90],"comparing":[91],"our":[92],"system":[93],"against":[94],"commercially":[96],"available":[97],"tool":[98],"which":[100],"users":[101,112],"manually.":[105],"Our":[106],"show":[108],"helps":[111],"complete":[113],"text":[114],"extraction":[115],"tasks":[116],"more":[117,122],"quickly,":[118],"as":[119,121],"well":[120],"accurately.":[123]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2017-05-12T00:00:00"}