{"id":"https://openalex.org/W2949964925","doi":"https://doi.org/10.18653/v1/p19-2044","title":"Improving Neural Entity Disambiguation with Graph Embeddings","display_name":"Improving Neural Entity Disambiguation with Graph Embeddings","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2949964925","doi":"https://doi.org/10.18653/v1/p19-2044","mag":"2949964925"},"language":"en","primary_location":{"id":"doi:10.18653/v1/p19-2044","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p19-2044","pdf_url":"https://www.aclweb.org/anthology/P19-2044.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: Student Research Workshop","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/P19-2044.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5087105457","display_name":"\u00d6zge Sevgili","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":"\u00d6zge Sevgili","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/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"]},{"id":"https://openalex.org/I4210099336","display_name":"Menlo School","ror":"https://ror.org/01240pn49","country_code":"US","type":"education","lineage":["https://openalex.org/I4210099336"]}],"countries":["DE","RU","US"],"is_corresponding":false,"raw_author_name":"Alexander Panchenko","raw_affiliation_strings":["Skolkovo Institute of Science and Technology, Moscow, Russia","Universit\u00e4t Hamburg, Hamburg, Germany","Diffbot Inc., Menlo Park, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Skolkovo Institute of Science and Technology, Moscow, Russia","institution_ids":["https://openalex.org/I125989756"]},{"raw_affiliation_string":"Universit\u00e4t Hamburg, Hamburg, Germany","institution_ids":["https://openalex.org/I159176309"]},{"raw_affiliation_string":"Diffbot Inc., Menlo Park, CA, USA","institution_ids":["https://openalex.org/I4210099336"]}]},{"author_position":"last","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"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":34,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"315","last_page":"322"},"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":0.9994000196456909,"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/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8404198884963989},{"id":"https://openalex.org/keywords/entity-linking","display_name":"Entity linking","score":0.7357369661331177},{"id":"https://openalex.org/keywords/knowledge-base","display_name":"Knowledge base","score":0.7089608907699585},{"id":"https://openalex.org/keywords/hyperlink","display_name":"Hyperlink","score":0.7024497389793396},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5911623239517212},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.5869180560112},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5076061487197876},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49662286043167114},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.47467470169067383},{"id":"https://openalex.org/keywords/unstructured-data","display_name":"Unstructured data","score":0.46840283274650574},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.43143704533576965},{"id":"https://openalex.org/keywords/text-graph","display_name":"Text graph","score":0.4249688982963562},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2800315022468567},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.22345387935638428},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.17898306250572205},{"id":"https://openalex.org/keywords/text-mining","display_name":"Text mining","score":0.17506644129753113},{"id":"https://openalex.org/keywords/web-page","display_name":"Web page","score":0.1335551142692566},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.10910993814468384}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8404198884963989},{"id":"https://openalex.org/C96711827","wikidata":"https://www.wikidata.org/wiki/Q17012245","display_name":"Entity linking","level":3,"score":0.7357369661331177},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.7089608907699585},{"id":"https://openalex.org/C30088001","wikidata":"https://www.wikidata.org/wiki/Q102014","display_name":"Hyperlink","level":3,"score":0.7024497389793396},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5911623239517212},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.5869180560112},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5076061487197876},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49662286043167114},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.47467470169067383},{"id":"https://openalex.org/C2781252014","wikidata":"https://www.wikidata.org/wiki/Q1141900","display_name":"Unstructured data","level":3,"score":0.46840283274650574},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.43143704533576965},{"id":"https://openalex.org/C66945725","wikidata":"https://www.wikidata.org/wiki/Q18388823","display_name":"Text graph","level":3,"score":0.4249688982963562},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2800315022468567},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.22345387935638428},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.17898306250572205},{"id":"https://openalex.org/C71472368","wikidata":"https://www.wikidata.org/wiki/Q676880","display_name":"Text mining","level":2,"score":0.17506644129753113},{"id":"https://openalex.org/C21959979","wikidata":"https://www.wikidata.org/wiki/Q36774","display_name":"Web page","level":2,"score":0.1335551142692566},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.10910993814468384}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/p19-2044","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p19-2044","pdf_url":"https://www.aclweb.org/anthology/P19-2044.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: Student Research Workshop","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/p19-2044","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p19-2044","pdf_url":"https://www.aclweb.org/anthology/P19-2044.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: Student Research Workshop","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.800000011920929,"display_name":"Quality Education"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320875","display_name":"Deutscher Akademischer Austauschdienst","ror":"https://ror.org/039djdh30"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2949964925.pdf","grobid_xml":"https://content.openalex.org/works/W2949964925.grobid-xml"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W86887328","https://openalex.org/W158057341","https://openalex.org/W168564468","https://openalex.org/W822806878","https://openalex.org/W1522301498","https://openalex.org/W1548663377","https://openalex.org/W1614298861","https://openalex.org/W1854214752","https://openalex.org/W1888005072","https://openalex.org/W1964189668","https://openalex.org/W2020278455","https://openalex.org/W2053186076","https://openalex.org/W2094728533","https://openalex.org/W2100341149","https://openalex.org/W2104583100","https://openalex.org/W2131357087","https://openalex.org/W2131744502","https://openalex.org/W2137489006","https://openalex.org/W2150034910","https://openalex.org/W2151048449","https://openalex.org/W2153579005","https://openalex.org/W2156718197","https://openalex.org/W2162362997","https://openalex.org/W2250868722","https://openalex.org/W2260776682","https://openalex.org/W2393319904","https://openalex.org/W2436001372","https://openalex.org/W2509435444","https://openalex.org/W2612773933","https://openalex.org/W2612872092","https://openalex.org/W2804784869","https://openalex.org/W2888236192","https://openalex.org/W2892107559","https://openalex.org/W2950577311","https://openalex.org/W2962756421","https://openalex.org/W2963855739","https://openalex.org/W2964015378","https://openalex.org/W2964121744","https://openalex.org/W3104097132","https://openalex.org/W3105705953","https://openalex.org/W4293651439","https://openalex.org/W4294170691"],"related_works":["https://openalex.org/W2340568692","https://openalex.org/W3163287122","https://openalex.org/W4385489363","https://openalex.org/W2913363942","https://openalex.org/W2396445622","https://openalex.org/W2166029629","https://openalex.org/W3151174281","https://openalex.org/W3006227201","https://openalex.org/W3095207550","https://openalex.org/W4312939522"],"abstract_inverted_index":{"Entity":[0],"Disambiguation":[1],"(ED)":[2],"is":[3,36],"the":[4,40,67,92],"task":[5],"of":[6,32,86,94],"linking":[7],"an":[8],"ambiguous":[9],"entity":[10],"mention":[11],"to":[12,29,48],"a":[13,17,56,84,101],"corresponding":[14],"entry":[15],"in":[16,39],"knowledge":[18,41,68],"base.":[19],"Current":[20],"methods":[21],"have":[22],"mostly":[23],"focused":[24],"on":[25,83],"unstructured":[26,71],"text":[27],"data":[28],"learn":[30],"representations":[31],"entities,":[33],"however,":[34],"there":[35],"structured":[37,64],"information":[38,65,72],"base":[42,69],"itself":[43],"that":[44,58,79],"should":[45],"be":[46],"useful":[47],"disambiguate":[49],"entities.":[50],"In":[51],"this":[52],"work,":[53],"we":[54],"propose":[55],"method":[57],"uses":[59],"graph":[60,80,85],"embeddings":[61,81],"for":[62],"integrating":[63],"from":[66,73],"with":[70],"text-based":[74],"representations.":[75],"Our":[76],"experiments":[77],"confirm":[78],"trained":[82],"hyperlinks":[87],"between":[88],"Wikipedia":[89],"articles":[90],"improve":[91],"performances":[93],"simple":[95],"feed-forward":[96],"neural":[97,103],"ED":[98,104],"model":[99],"and":[100],"state-ofthe-art":[102],"system.":[105]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":9}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}