{"id":"https://openalex.org/W2895601233","doi":"https://doi.org/10.1145/3209280.3209532","title":"Active High-Recall Information Retrieval from Domain-Specific Text Corpora based on Query Documents","display_name":"Active High-Recall Information Retrieval from Domain-Specific Text Corpora based on Query Documents","publication_year":2018,"publication_date":"2018-08-28","ids":{"openalex":"https://openalex.org/W2895601233","doi":"https://doi.org/10.1145/3209280.3209532","mag":"2895601233"},"language":"en","primary_location":{"id":"doi:10.1145/3209280.3209532","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3209280.3209532","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Symposium on Document Engineering 2018","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://thekeep.eiu.edu/math_fac/63","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100751920","display_name":"Sitong Chen","orcid":"https://orcid.org/0000-0002-3169-0636"},"institutions":[{"id":"https://openalex.org/I129902397","display_name":"Dalhousie University","ror":"https://ror.org/01e6qks80","country_code":"CA","type":"education","lineage":["https://openalex.org/I129902397"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Sitong Chen","raw_affiliation_strings":["Dalhousie University, Halifax, NS, Canada"],"affiliations":[{"raw_affiliation_string":"Dalhousie University, Halifax, NS, Canada","institution_ids":["https://openalex.org/I129902397"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004142960","display_name":"Abidalrahman Moh\u2019d","orcid":"https://orcid.org/0000-0002-5150-7616"},"institutions":[{"id":"https://openalex.org/I129902397","display_name":"Dalhousie University","ror":"https://ror.org/01e6qks80","country_code":"CA","type":"education","lineage":["https://openalex.org/I129902397"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Abidalrahman Moh'd","raw_affiliation_strings":["Dalhousie University, Halifax, NS, Canada"],"affiliations":[{"raw_affiliation_string":"Dalhousie University, Halifax, NS, Canada","institution_ids":["https://openalex.org/I129902397"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113643083","display_name":"Seyednaser Nourashrafeddin","orcid":null},"institutions":[{"id":"https://openalex.org/I129902397","display_name":"Dalhousie University","ror":"https://ror.org/01e6qks80","country_code":"CA","type":"education","lineage":["https://openalex.org/I129902397"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Seyednaser Nourashrafeddin","raw_affiliation_strings":["Dalhousie University, Halifax, NS, Canada"],"affiliations":[{"raw_affiliation_string":"Dalhousie University, Halifax, NS, Canada","institution_ids":["https://openalex.org/I129902397"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013989913","display_name":"Evangelos Milios","orcid":"https://orcid.org/0000-0001-5549-4675"},"institutions":[{"id":"https://openalex.org/I129902397","display_name":"Dalhousie University","ror":"https://ror.org/01e6qks80","country_code":"CA","type":"education","lineage":["https://openalex.org/I129902397"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Evangelos Milios","raw_affiliation_strings":["Dalhousie University, Halifax, NS, Canada"],"affiliations":[{"raw_affiliation_string":"Dalhousie University, Halifax, NS, Canada","institution_ids":["https://openalex.org/I129902397"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100751920"],"corresponding_institution_ids":["https://openalex.org/I129902397"],"apc_list":null,"apc_paid":null,"fwci":0.169,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.61047095,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9994000196456909,"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/T10028","display_name":"Topic Modeling","score":0.9993000030517578,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9972000122070312,"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":0.8654919862747192},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.7402398586273193},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.5977658629417419},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5348654389381409},{"id":"https://openalex.org/keywords/document-retrieval","display_name":"Document retrieval","score":0.5273258090019226},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.48375892639160156},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4328266978263855},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.42855870723724365},{"id":"https://openalex.org/keywords/active-learning","display_name":"Active learning (machine learning)","score":0.41749876737594604},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.40253591537475586}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8654919862747192},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.7402398586273193},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.5977658629417419},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5348654389381409},{"id":"https://openalex.org/C161156560","wikidata":"https://www.wikidata.org/wiki/Q1638872","display_name":"Document retrieval","level":2,"score":0.5273258090019226},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.48375892639160156},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4328266978263855},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.42855870723724365},{"id":"https://openalex.org/C77967617","wikidata":"https://www.wikidata.org/wiki/Q4677561","display_name":"Active learning (machine learning)","level":2,"score":0.41749876737594604},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.40253591537475586},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3209280.3209532","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3209280.3209532","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Symposium on Document Engineering 2018","raw_type":"proceedings-article"},{"id":"pmh:oai:thekeep.eiu.edu:math_fac-1063","is_oa":true,"landing_page_url":"https://thekeep.eiu.edu/math_fac/63","pdf_url":null,"source":{"id":"https://openalex.org/S2738785026","display_name":"Journal of Collective Bargaining in the Academy","issn_l":"1941-8043","issn":["1941-8043"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":"https://openalex.org/P4310316535","host_organization_name":"National Center for the Study of Collective Bargaining in Higher Education and the Professions","host_organization_lineage":["https://openalex.org/P4310316535"],"host_organization_lineage_names":["National Center for the Study of Collective Bargaining in Higher Education and the Professions"],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Faculty Research and Creative Activity","raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:thekeep.eiu.edu:math_fac-1063","is_oa":true,"landing_page_url":"https://thekeep.eiu.edu/math_fac/63","pdf_url":null,"source":{"id":"https://openalex.org/S2738785026","display_name":"Journal of Collective Bargaining in the Academy","issn_l":"1941-8043","issn":["1941-8043"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":"https://openalex.org/P4310316535","host_organization_name":"National Center for the Study of Collective Bargaining in Higher Education and the Professions","host_organization_lineage":["https://openalex.org/P4310316535"],"host_organization_lineage_names":["National Center for the Study of Collective Bargaining in Higher Education and the Professions"],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Faculty Research and Creative Activity","raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8292872478","display_name":null,"funder_award_id":"EGP 492547","funder_id":"https://openalex.org/F4320334593","funder_display_name":"Natural Sciences and Engineering Research Council of Canada"}],"funders":[{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W126092743","https://openalex.org/W133424112","https://openalex.org/W1501049730","https://openalex.org/W1666605052","https://openalex.org/W1766258292","https://openalex.org/W1973948212","https://openalex.org/W2021947911","https://openalex.org/W2025422739","https://openalex.org/W2029075138","https://openalex.org/W2060030398","https://openalex.org/W2069870183","https://openalex.org/W2074335414","https://openalex.org/W2081580037","https://openalex.org/W2111593814","https://openalex.org/W2117149238","https://openalex.org/W2133012565","https://openalex.org/W2134512579","https://openalex.org/W2136480620","https://openalex.org/W2141670887","https://openalex.org/W2142623206","https://openalex.org/W2147277317","https://openalex.org/W2153819437","https://openalex.org/W2154866722","https://openalex.org/W2155482025","https://openalex.org/W2164551773","https://openalex.org/W2230229975","https://openalex.org/W2398442511","https://openalex.org/W2426031434","https://openalex.org/W2498119267","https://openalex.org/W2570764145","https://openalex.org/W2903158431","https://openalex.org/W4213009331","https://openalex.org/W4226280022","https://openalex.org/W4252076394","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2118564381","https://openalex.org/W2203835818","https://openalex.org/W173956503","https://openalex.org/W1531508671","https://openalex.org/W120623030","https://openalex.org/W2463029320","https://openalex.org/W2085542554","https://openalex.org/W4386811335","https://openalex.org/W2145340427","https://openalex.org/W1526319135"],"abstract_inverted_index":{"In":[0,92],"this":[1,100,146],"paper,":[2],"we":[3],"propose":[4],"a":[5,13,35,59,78,87,136],"high":[6],"recall":[7],"active":[8,89],"document":[9,27,80],"retrieval":[10,129],"system":[11,76,143],"for":[12,99,117],"class":[14],"of":[15,31,37,52,54,74,102,111,130,141],"applications":[16],"involving":[17],"query":[18],"documents,":[19],"as":[20],"opposed":[21],"to":[22,108,121,144,152],"key":[23],"terms,":[24],"and":[25,58,148],"domain-specific":[26],"corpora.":[28],"The":[29,72],"output":[30],"the":[32,42,70,75,112,115,128,139,142],"model":[33,82],"is":[34,77,84,104],"list":[36],"documents":[38],"retrieved":[39],"based":[40,63,134],"on":[41,64,127,135],"domain":[43,118],"expert":[44,119],"feedback":[45],"collected":[46],"during":[47],"training.":[48],"A":[49],"modified":[50],"version":[51],"Bag":[53],"Word":[55],"(BoW)":[56],"representation":[57],"semantic":[60],"ranking":[61],"module,":[62],"Google":[65],"n-grams,":[66],"are":[67],"used":[68],"in":[69],"model.":[71],"core":[73],"binary":[79],"classification":[81],"which":[83],"trained":[85],"through":[86],"continuous":[88],"learning":[90],"strategy.":[91],"general,":[93],"finding":[94],"or":[95,114],"constructing":[96],"training":[97],"data":[98],"type":[101],"problem":[103],"very":[105],"difficult":[106],"due":[107],"either":[109],"confidentiality":[110],"data,":[113],"need":[116],"time":[120],"label":[122],"data.":[123],"Our":[124],"experimental":[125],"results":[126],"Call":[131],"For":[132],"Papers":[133],"manuscript":[137],"demonstrate":[138],"efficacy":[140],"address":[145],"application":[147],"its":[149],"performance":[150],"compared":[151],"other":[153],"candidate":[154],"models.":[155]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
