{"id":"https://openalex.org/W2014455688","doi":"https://doi.org/10.1145/2661829.2662087","title":"Domain Cartridge","display_name":"Domain Cartridge","publication_year":2014,"publication_date":"2014-11-03","ids":{"openalex":"https://openalex.org/W2014455688","doi":"https://doi.org/10.1145/2661829.2662087","mag":"2014455688"},"language":"en","primary_location":{"id":"doi:10.1145/2661829.2662087","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2661829.2662087","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 23rd ACM International Conference on 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/A5103853262","display_name":"Subhabrata Mukherjee","orcid":null},"institutions":[{"id":"https://openalex.org/I149899117","display_name":"Max Planck Society","ror":"https://ror.org/01hhn8329","country_code":"DE","type":"nonprofit","lineage":["https://openalex.org/I149899117"]},{"id":"https://openalex.org/I4210109712","display_name":"Max Planck Institute for Informatics","ror":"https://ror.org/01w19ak89","country_code":"DE","type":"facility","lineage":["https://openalex.org/I149899117","https://openalex.org/I4210109712"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Subhabrata Mukherjee","raw_affiliation_strings":["Max Planck Institute for Informatics, Saarbruecken, Germany","Max-Planck Institute for Informatics, Saarbruecken, Germany#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Max Planck Institute for Informatics, Saarbruecken, Germany","institution_ids":["https://openalex.org/I4210109712"]},{"raw_affiliation_string":"Max-Planck Institute for Informatics, Saarbruecken, Germany#TAB#","institution_ids":["https://openalex.org/I149899117"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063781689","display_name":"Jitendra Ajmera","orcid":null},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]},{"id":"https://openalex.org/I4210103279","display_name":"IBM Research - India","ror":"https://ror.org/014wt7r80","country_code":"IN","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210103279","https://openalex.org/I4210114115"]}],"countries":["IN","US"],"is_corresponding":false,"raw_author_name":"Jitendra Ajmera","raw_affiliation_strings":["IBM Research Lab, Delhi, India","IBM Research Lab., Delhi, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research Lab, Delhi, India","institution_ids":["https://openalex.org/I4210103279"]},{"raw_affiliation_string":"IBM Research Lab., Delhi, India","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102334232","display_name":"Sachindra Joshi","orcid":null},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]},{"id":"https://openalex.org/I4210103279","display_name":"IBM Research - India","ror":"https://ror.org/014wt7r80","country_code":"IN","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210103279","https://openalex.org/I4210114115"]}],"countries":["IN","US"],"is_corresponding":false,"raw_author_name":"Sachindra Joshi","raw_affiliation_strings":["IBM Research Lab, Delhi, India","IBM Research Lab., Delhi, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research Lab, Delhi, India","institution_ids":["https://openalex.org/I4210103279"]},{"raw_affiliation_string":"IBM Research Lab., Delhi, India","institution_ids":["https://openalex.org/I1341412227"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.2687,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.84734678,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"929","last_page":"938"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9993000030517578,"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":0.9969000220298767,"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/wordnet","display_name":"WordNet","score":0.9208124876022339},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8776445388793945},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.7034655213356018},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.650388777256012},{"id":"https://openalex.org/keywords/ontology","display_name":"Ontology","score":0.6358566284179688},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.6295633316040039},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.6198782920837402},{"id":"https://openalex.org/keywords/question-answering","display_name":"Question answering","score":0.610506534576416},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.597040593624115},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5939241647720337},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.525569498538971},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.45332565903663635},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.4360300302505493},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.0767156183719635}],"concepts":[{"id":"https://openalex.org/C157659113","wikidata":"https://www.wikidata.org/wiki/Q533822","display_name":"WordNet","level":2,"score":0.9208124876022339},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8776445388793945},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.7034655213356018},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.650388777256012},{"id":"https://openalex.org/C25810664","wikidata":"https://www.wikidata.org/wiki/Q44325","display_name":"Ontology","level":2,"score":0.6358566284179688},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.6295633316040039},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6198782920837402},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.610506534576416},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.597040593624115},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5939241647720337},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.525569498538971},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.45332565903663635},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.4360300302505493},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0767156183719635},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2661829.2662087","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2661829.2662087","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management","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":55,"referenced_works":["https://openalex.org/W18278838","https://openalex.org/W31218902","https://openalex.org/W32002537","https://openalex.org/W38703128","https://openalex.org/W79744593","https://openalex.org/W173385071","https://openalex.org/W188912188","https://openalex.org/W423733794","https://openalex.org/W1512387364","https://openalex.org/W1529522905","https://openalex.org/W1535015163","https://openalex.org/W1582491190","https://openalex.org/W1584739173","https://openalex.org/W1633771733","https://openalex.org/W1965605789","https://openalex.org/W1974383174","https://openalex.org/W2022166150","https://openalex.org/W2068737686","https://openalex.org/W2075354211","https://openalex.org/W2081580037","https://openalex.org/W2104313393","https://openalex.org/W2104566221","https://openalex.org/W2104798349","https://openalex.org/W2117624596","https://openalex.org/W2121855012","https://openalex.org/W2123084125","https://openalex.org/W2127314673","https://openalex.org/W2133656631","https://openalex.org/W2135054265","https://openalex.org/W2135905581","https://openalex.org/W2138295022","https://openalex.org/W2138563491","https://openalex.org/W2138621811","https://openalex.org/W2139346960","https://openalex.org/W2139874817","https://openalex.org/W2142086811","https://openalex.org/W2142120379","https://openalex.org/W2150406842","https://openalex.org/W2151375725","https://openalex.org/W2152311353","https://openalex.org/W2153804780","https://openalex.org/W2160587453","https://openalex.org/W2163953154","https://openalex.org/W2167061159","https://openalex.org/W2250361487","https://openalex.org/W2342771006","https://openalex.org/W2401961673","https://openalex.org/W2407160479","https://openalex.org/W2613678836","https://openalex.org/W2882319491","https://openalex.org/W2998461326","https://openalex.org/W6607608502","https://openalex.org/W6636702202","https://openalex.org/W6682410943","https://openalex.org/W6753056052"],"related_works":["https://openalex.org/W2900382651","https://openalex.org/W1981879262","https://openalex.org/W2363417484","https://openalex.org/W4225863708","https://openalex.org/W3046984657","https://openalex.org/W2053943328","https://openalex.org/W4287688258","https://openalex.org/W2948022516","https://openalex.org/W3049211950","https://openalex.org/W2405355225"],"abstract_inverted_index":{"In":[0],"this":[1],"work":[2],"we":[3,121,151],"propose":[4,122],"an":[5,48,71],"unsupervised":[6],"framework":[7,124],"to":[8,27,93,125],"construct":[9,126],"a":[10,123,127],"shallow":[11,128],"domain":[12,33,42,90,133,138],"ontology":[13,129],"from":[14,130],"corpus.":[15],"It":[16],"is":[17],"essential":[18],"for":[19],"Information":[20],"Retrieval":[21],"systems,":[22,24],"Question-Answering":[23,73],"Dialogue":[25],"etc.":[26],"identify":[28,40],"important":[29,41,49],"concepts":[30],"in":[31,62],"the":[32,35,54,68,83,89,117,131],"and":[34,102,147,159],"relationship":[36],"between":[37],"them.":[38],"We":[39,51],"terms":[43,134],"of":[44,56,70,88,165],"which":[45,66],"multi-words":[46,57],"form":[47],"component.":[50],"show":[52],"that":[53],"incorporation":[55],"improves":[58,67],"parser":[59,64],"performance,":[60],"resulting":[61],"better":[63],"output,":[65],"performance":[69,154],"existing":[72],"system":[74,85],"by":[75,100,104,135],"upto":[76],"7%.":[77],"On":[78],"manually":[79,113],"annotated":[80,114],"smartphone":[81],"dataset,":[82],"proposed":[84],"identifies":[86],"40:87%":[87],"terms,":[91],"compared":[92,118],"22%":[94],"recall":[95],"obtained":[96],"using":[97,162],"WordNet,":[98,157],"43:77%":[99],"Yago":[101,160],"53:74%":[103],"BabelNet":[105,158],"respectively.":[106],"However,":[107],"it":[108],"does":[109],"not":[110],"use":[111],"any":[112,163],"resource":[115],"like":[116],"systems.":[119],"Thereafter,":[120],"discovered":[132],"identifying":[136],"four":[137],"relations":[139],"namely,":[140],"Synonyms":[141],"('similar-to'),":[142],"Type-Of":[143],"('is-a'),":[144],"Action-On":[145],"('methods')":[146],"Feature-Of":[148],"('attributes'),":[149],"where":[150],"achieve":[152],"significant":[153],"improvement":[155],"over":[156],"without":[161],"mode":[164],"supervision":[166],"or":[167],"manual":[168],"annotation.":[169]},"counts_by_year":[{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2016-06-24T00:00:00"}