{"id":"https://openalex.org/W2991183097","doi":"https://doi.org/10.1609/aaai.v34i05.6263","title":"Hypernym Detection Using Strict Partial Order Networks","display_name":"Hypernym Detection Using Strict Partial Order Networks","publication_year":2020,"publication_date":"2020-04-03","ids":{"openalex":"https://openalex.org/W2991183097","doi":"https://doi.org/10.1609/aaai.v34i05.6263","mag":"2991183097"},"language":"en","primary_location":{"id":"doi:10.1609/aaai.v34i05.6263","doi":"https://doi.org/10.1609/aaai.v34i05.6263","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v34i05.6263","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-2","norway-1"],"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.1609/aaai.v34i05.6263","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Sarthak Dash","orcid":null,"observed_orcids":[]},"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"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sarthak Dash","raw_affiliation_strings":["IBM Research AI"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research AI","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062367950","display_name":"Md. Faisal Mahbub Chowdhury","orcid":null,"observed_orcids":[]},"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"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Md Faisal Mahbub Chowdhury","raw_affiliation_strings":["IBM Research AI"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research AI","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087419620","display_name":"Alfio Gliozzo","orcid":"https://orcid.org/0000-0002-8044-2911","observed_orcids":["https://orcid.org/0000-0002-8044-2911"]},"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"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alfio Gliozzo","raw_affiliation_strings":["IBM Research AI"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research AI","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079757419","display_name":"Nandana Mihindukulasooriya","orcid":"https://orcid.org/0000-0003-1707-4842","observed_orcids":["https://orcid.org/0000-0003-1707-4842"]},"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"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nandana Mihindukulasooriya","raw_affiliation_strings":["IBM Research AI"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research AI","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"last","author":{"id":null,"display_name":"Nicolas Rodolfo Fauceglia","orcid":null,"observed_orcids":[]},"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"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nicolas Rodolfo Fauceglia","raw_affiliation_strings":["IBM Research AI"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research AI","institution_ids":["https://openalex.org/I1341412227"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I1341412227"],"apc_list":null,"apc_paid":null,"fwci":1.6796,"has_fulltext":true,"cited_by_count":25,"citation_normalized_percentile":{"value":0.87434698,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"34","issue":"05","first_page":"7626","last_page":"7633"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.7860999703407288,"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":0.7860999703407288,"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":0.1665000021457672,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.009600000455975533,"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/hypernymy","display_name":"hypernymy","score":0.7950000166893005},{"id":"https://openalex.org/keywords/transitivity","display_name":"transitivity","score":0.4440000057220459},{"id":"https://openalex.org/keywords/neural-network-architecture","display_name":"neural network architecture","score":0.6620000004768372}],"concepts":[{"id":"https://openalex.org/C191399111","wikidata":"https://www.wikidata.org/wiki/Q64861","display_name":"Transitive relation","level":2,"score":0.7559000253677368},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6934000253677368},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6484000086784363},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.44920000433921814},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.4481000006198883},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4278999865055084},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3734999895095825},{"id":"https://openalex.org/C2777299769","wikidata":"https://www.wikidata.org/wiki/Q3707858","display_name":"Type (biology)","level":2,"score":0.34310001134872437},{"id":"https://openalex.org/C2985963534","wikidata":"https://www.wikidata.org/wiki/Q7603704","display_name":"State information","level":3,"score":0.3098999857902527},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.30559998750686646},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.2996000051498413},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.2879999876022339},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.2842999994754791},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.28110000491142273},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.27790001034736633}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1609/aaai.v34i05.6263","doi":"https://doi.org/10.1609/aaai.v34i05.6263","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v34i05.6263","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-2","norway-1"],"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1909.10572","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1909.10572","pdf_url":"https://arxiv.org/pdf/1909.10572","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:ojs.aaai.org:article/6263","doi":null,"is_oa":true,"landing_page_url":"https://ojs.aaai.org/index.php/AAAI/article/view/6263","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/6263/6119","source":{"id":"https://openalex.org/S4306400155","display_name":"AAAI Publications (The Association for the Advancement of Artificial Intelligence (AAAI))","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2801652627","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/I2801652627"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2159-5399","raw_type":"info:eu-repo/semantics/article"},{"id":"mag:2976357045","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/1909.10572v1","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1909.10572","doi":"https://doi.org/10.48550/arxiv.1909.10572","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1909.10572","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"doi:10.1609/aaai.v34i05.6263","doi":"https://doi.org/10.1609/aaai.v34i05.6263","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v34i05.6263","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-2","norway-1"],"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2991183097.pdf","grobid_xml":"https://content.openalex.org/works/W2991183097.grobid-xml"},"referenced_works_count":62,"referenced_works":["https://openalex.org/W205765513","https://openalex.org/W976975828","https://openalex.org/W1516501661","https://openalex.org/W1522301498","https://openalex.org/W1859688733","https://openalex.org/W1892391237","https://openalex.org/W1966907789","https://openalex.org/W1978400666","https://openalex.org/W2024791376","https://openalex.org/W2047032662","https://openalex.org/W2068737686","https://openalex.org/W2102381086","https://openalex.org/W2114544510","https://openalex.org/W2133413932","https://openalex.org/W2135964261","https://openalex.org/W2142086811","https://openalex.org/W2156099181","https://openalex.org/W2168565044","https://openalex.org/W2172888184","https://openalex.org/W2192145012","https://openalex.org/W2209384852","https://openalex.org/W2248182989","https://openalex.org/W2250532017","https://openalex.org/W2250533418","https://openalex.org/W2251109971","https://openalex.org/W2275730475","https://openalex.org/W2277567077","https://openalex.org/W2407753702","https://openalex.org/W2560936164","https://openalex.org/W2583105957","https://openalex.org/W2618798060","https://openalex.org/W2623278230","https://openalex.org/W2741694756","https://openalex.org/W2754400783","https://openalex.org/W2769271871","https://openalex.org/W2773951497","https://openalex.org/W2798621714","https://openalex.org/W2798736886","https://openalex.org/W2799174950","https://openalex.org/W2805685517","https://openalex.org/W2806593956","https://openalex.org/W2807354168","https://openalex.org/W2807664102","https://openalex.org/W2815154368","https://openalex.org/W2820921124","https://openalex.org/W2823927119","https://openalex.org/W2855853364","https://openalex.org/W2879100977","https://openalex.org/W2906685663","https://openalex.org/W2950133940","https://openalex.org/W2953088886","https://openalex.org/W2960118065","https://openalex.org/W2961020311","https://openalex.org/W2962724755","https://openalex.org/W2963658877","https://openalex.org/W2963899908","https://openalex.org/W2975133869","https://openalex.org/W3072595496","https://openalex.org/W3086835581","https://openalex.org/W4388152766","https://openalex.org/W6752493048","https://openalex.org/W6752555666"],"related_works":["https://openalex.org/W2976357045","https://openalex.org/W2210137989","https://openalex.org/W2805348366","https://openalex.org/W2905484073","https://openalex.org/W2142086811","https://openalex.org/W2962724755","https://openalex.org/W4386692289","https://openalex.org/W3117383404","https://openalex.org/W3029709332","https://openalex.org/W2963591283"],"abstract_inverted_index":{"This":[0],"paper":[1],"introduces":[2],"Strict":[3],"Partial":[4],"Order":[5],"Networks":[6],"(SPON),":[7],"a":[8],"novel":[9],"neural":[10],"network":[11],"architecture":[12],"designed":[13],"to":[14,26,52],"enforce":[15],"asymmetry":[16],"and":[17],"transitive":[18],"properties":[19],"as":[20],"soft":[21],"constraints.":[22],"We":[23,35],"apply":[24],"it":[25],"induce":[27],"hypernymy":[28],"relations":[29],"by":[30],"training":[31],"with":[32],"is-a":[33],"pairs.":[34],"also":[36],"present":[37],"an":[38],"augmented":[39],"variant":[40],"of":[41,75,82],"SPON":[42,67],"that":[43,66],"can":[44],"generalize":[45],"type":[46],"information":[47],"learned":[48],"for":[49],"in-vocabulary":[50],"terms":[51],"previously":[53],"unseen":[54],"ones.":[55],"An":[56],"extensive":[57],"evaluation":[58],"over":[59],"eleven":[60],"benchmarks":[61],"across":[62],"different":[63],"tasks":[64],"shows":[65],"consistently":[68],"either":[69],"outperforms":[70],"or":[71],"attains":[72],"the":[73,76],"state":[74],"art":[77],"on":[78],"all":[79],"but":[80],"one":[81],"these":[83],"benchmarks.":[84]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":7}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2019-12-05T00:00:00"}