{"id":"https://openalex.org/W2948074670","doi":"https://doi.org/10.18653/v1/p19-1474","title":"Every Child Should Have Parents: A Taxonomy Refinement Algorithm Based on Hyperbolic Term Embeddings","display_name":"Every Child Should Have Parents: A Taxonomy Refinement Algorithm Based on Hyperbolic Term Embeddings","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2948074670","doi":"https://doi.org/10.18653/v1/p19-1474","mag":"2948074670"},"language":"en","primary_location":{"id":"doi:10.18653/v1/p19-1474","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p19-1474","pdf_url":"https://www.aclweb.org/anthology/P19-1474.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/P19-1474.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5030953897","display_name":"Rami Aly","orcid":null},"institutions":[{"id":"https://openalex.org/I159176309","display_name":"Universit\u00e4t Hamburg","ror":"https://ror.org/00g30e956","country_code":"DE","type":"education","lineage":["https://openalex.org/I159176309"]},{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["DE","GB"],"is_corresponding":false,"raw_author_name":"Rami Aly","raw_affiliation_strings":["Universitt Hamburg, Hamburg, Germany","University of Cambridge, Cambridge, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universitt Hamburg, Hamburg, Germany","institution_ids":["https://openalex.org/I159176309"]},{"raw_affiliation_string":"University of Cambridge, Cambridge, United Kingdom","institution_ids":["https://openalex.org/I241749"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102839771","display_name":"Shantanu Acharya","orcid":"https://orcid.org/0000-0002-9652-2991"},"institutions":[{"id":"https://openalex.org/I4210157823","display_name":"Government of Mizoram","ror":"https://ror.org/05xemz742","country_code":"IN","type":"government","lineage":["https://openalex.org/I4210157823"]},{"id":"https://openalex.org/I91277730","display_name":"Maulana Azad National Institute of Technology","ror":"https://ror.org/026vtd268","country_code":"IN","type":"education","lineage":["https://openalex.org/I91277730"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Shantanu Acharya","raw_affiliation_strings":["National Institute of Technology Mizoram, Aizawl, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Technology Mizoram, Aizawl, India","institution_ids":["https://openalex.org/I4210157823","https://openalex.org/I91277730"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088973758","display_name":"Alexander Ossa","orcid":null},"institutions":[{"id":"https://openalex.org/I159176309","display_name":"Universit\u00e4t Hamburg","ror":"https://ror.org/00g30e956","country_code":"DE","type":"education","lineage":["https://openalex.org/I159176309"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Alexander Ossa","raw_affiliation_strings":["Universitt Hamburg, Hamburg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universitt Hamburg, Hamburg, Germany","institution_ids":["https://openalex.org/I159176309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076112411","display_name":"Arne K\u00f6hn","orcid":"https://orcid.org/0000-0002-4880-2016"},"institutions":[{"id":"https://openalex.org/I159176309","display_name":"Universit\u00e4t Hamburg","ror":"https://ror.org/00g30e956","country_code":"DE","type":"education","lineage":["https://openalex.org/I159176309"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Arne K\u00f6hn","raw_affiliation_strings":["Universit\u00e4t Hamburg, Hamburg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universit\u00e4t Hamburg, Hamburg, Germany","institution_ids":["https://openalex.org/I159176309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021287757","display_name":"Chris Biemann","orcid":"https://orcid.org/0000-0002-8449-9624"},"institutions":[{"id":"https://openalex.org/I159176309","display_name":"Universit\u00e4t Hamburg","ror":"https://ror.org/00g30e956","country_code":"DE","type":"education","lineage":["https://openalex.org/I159176309"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Chris Biemann","raw_affiliation_strings":["Universitt Hamburg, Hamburg, Germany","Universit\u00e4t Hamburg, Hamburg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universitt Hamburg, Hamburg, Germany","institution_ids":["https://openalex.org/I159176309"]},{"raw_affiliation_string":"Universit\u00e4t Hamburg, Hamburg, Germany","institution_ids":["https://openalex.org/I159176309"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026157285","display_name":"Alexander Panchenko","orcid":"https://orcid.org/0000-0001-6097-6118"},"institutions":[{"id":"https://openalex.org/I125989756","display_name":"Skolkovo Institute of Science and Technology","ror":"https://ror.org/03f9nc143","country_code":"RU","type":"education","lineage":["https://openalex.org/I125989756"]},{"id":"https://openalex.org/I159176309","display_name":"Universit\u00e4t Hamburg","ror":"https://ror.org/00g30e956","country_code":"DE","type":"education","lineage":["https://openalex.org/I159176309"]}],"countries":["DE","RU"],"is_corresponding":false,"raw_author_name":"Alexander Panchenko","raw_affiliation_strings":["Skolkovo Institute of Science and Technology, Moscow, Russia","Universitt Hamburg, Hamburg, Germany","Skolkovo Institute of Science and Technology, Skolkovo, Russia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Skolkovo Institute of Science and Technology, Moscow, Russia","institution_ids":["https://openalex.org/I125989756"]},{"raw_affiliation_string":"Universitt Hamburg, Hamburg, Germany","institution_ids":["https://openalex.org/I159176309"]},{"raw_affiliation_string":"Skolkovo Institute of Science and Technology, Skolkovo, Russia","institution_ids":["https://openalex.org/I125989756"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4811","last_page":"4817"},"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":0.9998000264167786,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9929999709129333,"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/taxonomy","display_name":"Taxonomy (biology)","score":0.7585875988006592},{"id":"https://openalex.org/keywords/euclidean-geometry","display_name":"Euclidean geometry","score":0.6070179343223572},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5948169827461243},{"id":"https://openalex.org/keywords/poincar\u00e9-conjecture","display_name":"Poincar\u00e9 conjecture","score":0.5212074518203735},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.5125443935394287},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4771037697792053},{"id":"https://openalex.org/keywords/semantic-space","display_name":"Semantic space","score":0.4642890691757202},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.45092839002609253},{"id":"https://openalex.org/keywords/euclidean-space","display_name":"Euclidean space","score":0.4502800703048706},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4452268183231354},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.41663646697998047},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4082334637641907},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4016786515712738},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3318588137626648},{"id":"https://openalex.org/keywords/pure-mathematics","display_name":"Pure mathematics","score":0.25582072138786316},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.06824380159378052}],"concepts":[{"id":"https://openalex.org/C58642233","wikidata":"https://www.wikidata.org/wiki/Q8269924","display_name":"Taxonomy (biology)","level":2,"score":0.7585875988006592},{"id":"https://openalex.org/C129782007","wikidata":"https://www.wikidata.org/wiki/Q162886","display_name":"Euclidean geometry","level":2,"score":0.6070179343223572},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5948169827461243},{"id":"https://openalex.org/C88221313","wikidata":"https://www.wikidata.org/wiki/Q203586","display_name":"Poincar\u00e9 conjecture","level":2,"score":0.5212074518203735},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.5125443935394287},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4771037697792053},{"id":"https://openalex.org/C2986420190","wikidata":"https://www.wikidata.org/wiki/Q39045939","display_name":"Semantic space","level":2,"score":0.4642890691757202},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.45092839002609253},{"id":"https://openalex.org/C186450821","wikidata":"https://www.wikidata.org/wiki/Q17295","display_name":"Euclidean space","level":2,"score":0.4502800703048706},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4452268183231354},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41663646697998047},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4082334637641907},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4016786515712738},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3318588137626648},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.25582072138786316},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.06824380159378052},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.18653/v1/p19-1474","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p19-1474","pdf_url":"https://www.aclweb.org/anthology/P19-1474.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1906.02002","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1906.02002","pdf_url":"https://arxiv.org/pdf/1906.02002","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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":"mag:2948074670","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1906.02002v1","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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.1906.02002","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1906.02002","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.18653/v1/p19-1474","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p19-1474","pdf_url":"https://www.aclweb.org/anthology/P19-1474.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320875","display_name":"Deutscher Akademischer Austauschdienst","ror":"https://ror.org/039djdh30"},{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2948074670.pdf","grobid_xml":"https://content.openalex.org/works/W2948074670.grobid-xml"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W21497345","https://openalex.org/W84079877","https://openalex.org/W141948786","https://openalex.org/W1516501661","https://openalex.org/W1581995154","https://openalex.org/W1837343293","https://openalex.org/W2068737686","https://openalex.org/W2084413241","https://openalex.org/W2108454922","https://openalex.org/W2117513520","https://openalex.org/W2118382442","https://openalex.org/W2153579005","https://openalex.org/W2156099181","https://openalex.org/W2164480198","https://openalex.org/W2168565044","https://openalex.org/W2250600805","https://openalex.org/W2296076036","https://openalex.org/W2465027611","https://openalex.org/W2465611764","https://openalex.org/W2468208907","https://openalex.org/W2471992743","https://openalex.org/W2572998653","https://openalex.org/W2760204057","https://openalex.org/W2883559670","https://openalex.org/W2912364454","https://openalex.org/W2950577311","https://openalex.org/W2962724755","https://openalex.org/W2962936818","https://openalex.org/W3035102141","https://openalex.org/W3154772965"],"related_works":["https://openalex.org/W2962992134","https://openalex.org/W2740358059","https://openalex.org/W2963850626","https://openalex.org/W2614551030","https://openalex.org/W2986907052","https://openalex.org/W2973843989","https://openalex.org/W2892354174","https://openalex.org/W2465640077","https://openalex.org/W2853138162","https://openalex.org/W2787883929","https://openalex.org/W3131094205","https://openalex.org/W2880875857","https://openalex.org/W2579644692","https://openalex.org/W2998363596","https://openalex.org/W2798542442","https://openalex.org/W3134551411","https://openalex.org/W3022243041","https://openalex.org/W2510403706","https://openalex.org/W1521891205","https://openalex.org/W2949320918"],"abstract_inverted_index":{"We":[0,56],"introduce":[1],"the":[2,49,58,68,81],"use":[3],"of":[4,60],"Poincar":[5,61],"embeddings":[6,62,79],"to":[7,12],"improve":[8],"existing":[9],"state-of-the-art":[10,46],"approaches":[11],"domain-specific":[13],"taxonomy":[14,30,54],"induction":[15],"from":[16],"text":[17],"as":[18,31,33],"a":[19,28,39],"signal":[20],"for":[21,34],"both":[22],"relocating":[23],"wrong":[24],"hyponym":[25],"terms":[26,37],"within":[27],"(pre-induced)":[29],"well":[32],"attaching":[35],"disconnected":[36],"in":[38,80],"taxonomy.":[40],"This":[41],"method":[42],"substantially":[43],"improves":[44],"previous":[45],"results":[47],"on":[48,53],"SemEval-2016":[50],"Task":[51],"13":[52],"extraction.":[55],"demonstrate":[57],"superiority":[59],"over":[63],"distributional":[64],"semantic":[65],"representations,":[66],"supporting":[67],"hypothesis":[69],"that":[70],"they":[71],"can":[72],"better":[73],"capture":[74],"hierarchical":[75],"lexical-semantic":[76],"relationships":[77],"than":[78],"Euclidean":[82],"space.":[83]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
