{"id":"https://openalex.org/W2091568528","doi":"https://doi.org/10.1145/1458082.1458253","title":"Intra-document structural frequency features for semi-supervised domain adaptation","display_name":"Intra-document structural frequency features for semi-supervised domain adaptation","publication_year":2008,"publication_date":"2008-10-26","ids":{"openalex":"https://openalex.org/W2091568528","doi":"https://doi.org/10.1145/1458082.1458253","mag":"2091568528"},"language":"en","primary_location":{"id":"doi:10.1145/1458082.1458253","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1458082.1458253","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th ACM conference on Information and knowledge management","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/A5010148946","display_name":"Andrew O. Arnold","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Andrew Arnold","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, PA, USA","Carnegie-Mellon University, Pittsburgh, Pa., USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"Carnegie-Mellon University, Pittsburgh, Pa., USA#TAB#","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051617344","display_name":"William W. Cohen","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"William W. Cohen","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, PA, USA","Carnegie-Mellon University, Pittsburgh, Pa., USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"Carnegie-Mellon University, Pittsburgh, Pa., USA#TAB#","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5010148946"],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":2.9269,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.91550694,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1291","last_page":"1300"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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/T10028","display_name":"Topic Modeling","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/T10181","display_name":"Natural Language Processing Techniques","score":0.9983000159263611,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9944999814033508,"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":0.7893248796463013},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.6771561503410339},{"id":"https://openalex.org/keywords/labeled-data","display_name":"Labeled data","score":0.6389576196670532},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.5419550538063049},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5390638113021851},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.535338282585144},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.49003565311431885},{"id":"https://openalex.org/keywords/bridge","display_name":"Bridge (graph theory)","score":0.45383504033088684},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37123680114746094},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3385329246520996},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08496123552322388}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7893248796463013},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.6771561503410339},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.6389576196670532},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.5419550538063049},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5390638113021851},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.535338282585144},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.49003565311431885},{"id":"https://openalex.org/C100776233","wikidata":"https://www.wikidata.org/wiki/Q2532492","display_name":"Bridge (graph theory)","level":2,"score":0.45383504033088684},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37123680114746094},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3385329246520996},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08496123552322388},{"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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"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/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1458082.1458253","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1458082.1458253","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th ACM conference on Information and knowledge management","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.141.5674","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.141.5674","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.cmu.edu/~aarnold/cald/cikm0176-arnold.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.7400000095367432,"display_name":"Quality Education"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W71647219","https://openalex.org/W1482328859","https://openalex.org/W1510579866","https://openalex.org/W1605854224","https://openalex.org/W1630959083","https://openalex.org/W2048679005","https://openalex.org/W2058856481","https://openalex.org/W2096259344","https://openalex.org/W2102419107","https://openalex.org/W2109705661","https://openalex.org/W2118029084","https://openalex.org/W2120354757","https://openalex.org/W2120708938","https://openalex.org/W2130903752","https://openalex.org/W2131953535","https://openalex.org/W2133013156","https://openalex.org/W2134125014","https://openalex.org/W2135352205","https://openalex.org/W2136504847","https://openalex.org/W2136979193","https://openalex.org/W2143419558","https://openalex.org/W2145494108","https://openalex.org/W2147880316","https://openalex.org/W2158108973","https://openalex.org/W2159882563","https://openalex.org/W2169591950","https://openalex.org/W2293363371","https://openalex.org/W2913340405","https://openalex.org/W2964041960","https://openalex.org/W3003665436","https://openalex.org/W6679554340","https://openalex.org/W6680044960"],"related_works":["https://openalex.org/W4389474468","https://openalex.org/W4300172004","https://openalex.org/W3035557009","https://openalex.org/W4321649381","https://openalex.org/W3204418343","https://openalex.org/W2997645659","https://openalex.org/W2341113105","https://openalex.org/W2955172689","https://openalex.org/W3180787869","https://openalex.org/W3132602785"],"abstract_inverted_index":{"In":[0],"this":[1],"work":[2],"we":[3,57,140,200],"try":[4],"to":[5,31,48,53,111,143,150,180,192,206,217],"bridge":[6],"the":[7,54,60,70,75,86,96,107,113,122,129,136,177,208,212],"gap":[8],"often":[9],"encountered":[10],"by":[11],"researchers":[12],"who":[13],"find":[14],"themselves":[15],"with":[16,82,168,215],"few":[17],"or":[18],"no":[19,46],"labeled":[20,35,81,196],"examples":[21],"from":[22,37,51,66,186],"their":[23],"desired":[24],"target":[25,87,178,197],"domain,":[26],"yet":[27],"still":[28],"have":[29],"access":[30],"large":[32,97],"amounts":[33],"of":[34,62,72,99,116,128,132,157,189,211],"data":[36,78,89,118,160],"other":[38],"related,":[39],"but":[40],"distinct":[41],"source":[42,76],"domains,":[43],"and":[44,85,124,154,159,173],"seemingly":[45],"way":[47],"transfer":[49],"knowledge":[50],"one":[52,187],"other.":[55],"Experimentally,":[56],"focus":[58],"on":[59,106,176],"problem":[61],"extracting":[63],"protein":[64,83],"mentions":[65],"academic":[67],"publications":[68],"in":[69,109,152],"field":[71],"biology,":[73],"where":[74],"domain":[77,88,179],"are":[79,90,141,148],"abstracts":[80],"mentions,":[84],"wholly":[91],"unlabeled":[92,137],"captions.":[93],"We":[94,163],"mine":[95],"number":[98],"such":[100],"full":[101,138],"text":[102],"articles":[103],"freely":[104],"available":[105],"Internet":[108],"order":[110],"supplement":[112,164],"limited":[114],"amount":[115],"annotated":[117],"available.":[119],"By":[120],"exploiting":[121],"explicit":[123],"implicit":[125],"common":[126],"structure":[127],"different":[130],"subsections":[131],"these":[133,165],"documents,":[134],"including":[135],"text,":[139],"able":[142],"generate":[144],"robust":[145],"features":[146,167],"that":[147,183],"insensitive":[149],"changes":[151],"marginal":[153],"conditional":[155],"distributions":[156],"classes":[158],"across":[161],"domains.":[162],"domain-insensitive":[166],"automatically":[169],"obtained":[170],"high-confidence":[171],"positive":[172],"negative":[174],"predictions":[175],"learn":[181],"extractors":[182],"generalize":[184],"well":[185],"section":[188],"a":[190],"document":[191],"another.":[193],"Finally,":[194],"lacking":[195],"testing":[198],"data,":[199],"employ":[201],"comparative":[202],"user":[203],"preference":[204],"studies":[205],"evaluate":[207],"relative":[209],"performance":[210],"proposed":[213],"methods":[214],"respect":[216],"existing":[218],"baselines.":[219]},"counts_by_year":[{"year":2012,"cited_by_count":4}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
