{"id":"https://openalex.org/W2132685569","doi":"https://doi.org/10.1145/2320765.2320781","title":"High-recall extraction of acronym-definition pairs with relevance feedback","display_name":"High-recall extraction of acronym-definition pairs with relevance feedback","publication_year":2012,"publication_date":"2012-03-30","ids":{"openalex":"https://openalex.org/W2132685569","doi":"https://doi.org/10.1145/2320765.2320781","mag":"2132685569"},"language":"en","primary_location":{"id":"doi:10.1145/2320765.2320781","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2320765.2320781","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2012 Joint EDBT/ICDT Workshops","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/A5008443481","display_name":"Anna Yarygina","orcid":"https://orcid.org/0000-0003-2480-6589"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Anna Yarygina","raw_affiliation_strings":["Saint-Petersburg University"],"affiliations":[{"raw_affiliation_string":"Saint-Petersburg University","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066061534","display_name":"Natalia Vassilieva","orcid":"https://orcid.org/0000-0003-3410-9277"},"institutions":[{"id":"https://openalex.org/I1324840837","display_name":"Hewlett-Packard (United States)","ror":"https://ror.org/059rn9488","country_code":"US","type":"company","lineage":["https://openalex.org/I1324840837"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Natalia Vassilieva","raw_affiliation_strings":["HP Labs","HP Labs,"],"affiliations":[{"raw_affiliation_string":"HP Labs","institution_ids":["https://openalex.org/I1324840837"]},{"raw_affiliation_string":"HP Labs,","institution_ids":["https://openalex.org/I1324840837"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5008443481"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1313,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.52606998,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"21","last_page":"28"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9829000234603882,"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":0.9782999753952026,"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/acronym","display_name":"Acronym","score":0.9873195886611938},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7893563508987427},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.7031341791152954},{"id":"https://openalex.org/keywords/relevance-feedback","display_name":"Relevance feedback","score":0.6572978496551514},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6231511235237122},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.5827029943466187},{"id":"https://openalex.org/keywords/recall","display_name":"Recall","score":0.5785674452781677},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5072676539421082},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4523218870162964},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.43832847476005554},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3896467983722687},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.363442599773407},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10091516375541687}],"concepts":[{"id":"https://openalex.org/C482391","wikidata":"https://www.wikidata.org/wiki/Q101244","display_name":"Acronym","level":2,"score":0.9873195886611938},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7893563508987427},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.7031341791152954},{"id":"https://openalex.org/C2779532271","wikidata":"https://www.wikidata.org/wiki/Q445558","display_name":"Relevance feedback","level":4,"score":0.6572978496551514},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6231511235237122},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.5827029943466187},{"id":"https://openalex.org/C100660578","wikidata":"https://www.wikidata.org/wiki/Q18733","display_name":"Recall","level":2,"score":0.5785674452781677},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5072676539421082},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4523218870162964},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.43832847476005554},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3896467983722687},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.363442599773407},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10091516375541687},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2320765.2320781","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2320765.2320781","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2012 Joint EDBT/ICDT Workshops","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":12,"referenced_works":["https://openalex.org/W1483118642","https://openalex.org/W1513564539","https://openalex.org/W1596411313","https://openalex.org/W1805473862","https://openalex.org/W1816480286","https://openalex.org/W1944963667","https://openalex.org/W1991154713","https://openalex.org/W2042500082","https://openalex.org/W2042879619","https://openalex.org/W2061071413","https://openalex.org/W2112868967","https://openalex.org/W2126871844"],"related_works":["https://openalex.org/W4224143833","https://openalex.org/W2768246685","https://openalex.org/W2358294942","https://openalex.org/W2132685569","https://openalex.org/W2121179064","https://openalex.org/W1970945111","https://openalex.org/W2386201655","https://openalex.org/W4381744813","https://openalex.org/W4246004437","https://openalex.org/W4367460280"],"abstract_inverted_index":{"This":[0,48,104],"paper":[1],"addresses":[2],"the":[3,36,87,97,141,153,156],"problem":[4],"of":[5,54,155],"extracting":[6],"acronyms":[7,55],"and":[8,22,122],"their":[9],"definitions":[10,64],"from":[11,71,147],"large":[12],"documents":[13],"in":[14,51],"a":[15,29,44,52,77],"setting,":[16],"when":[17],"high":[18,57],"recall":[19,58],"is":[20,25,79,133],"required":[21],"user":[23],"feedback":[24,93],"available.":[26],"We":[27,139],"propose":[28],"three":[30,145],"step":[31,49,89],"approach":[32,143],"to":[33,81,95,114,119,127,135],"deal":[34],"with":[35,56],"problem.":[37],"First,":[38],"acronym":[39,69],"candidates":[40],"are":[41,65],"extracted":[42],"using":[43,144],"weak":[45],"regular":[46],"expression.":[47],"results":[50],"list":[53],"but":[59],"low":[60],"precision":[61,108],"rates.":[62],"Second,":[63],"constructed":[66],"for":[67,100],"every":[68,101],"candidate":[70],"its":[72],"surrounding":[73],"text.":[74],"And":[75],"last,":[76],"classifier":[78,98],"used":[80],"select":[82],"genuine":[83],"acronym-definition":[84],"pairs.":[85],"At":[86],"last":[88],"we":[90],"use":[91],"relevance":[92],"mechanism":[94],"tune":[96],"model":[99],"particular":[102,129],"document.":[103,138],"allows":[105],"achieving":[106],"reasonable":[107],"without":[109],"losing":[110],"recall.":[111],"As":[112],"opposed":[113],"existing":[115],"approaches,":[116],"either":[117],"created":[118],"be":[120],"generic":[121],"domain":[123],"independent":[124],"or":[125],"tuned":[126],"one":[128],"domain,":[130],"our":[131],"method":[132],"adaptive":[134],"an":[136],"input":[137],"evaluate":[140],"proposed":[142],"datasets":[146],"different":[148],"domains.":[149],"The":[150],"experiments":[151],"prove":[152],"validity":[154],"presented":[157],"ideas.":[158]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}