{"id":"https://openalex.org/W2888338319","doi":"https://doi.org/10.18653/v1/d18-1221","title":"Mapping Text to Knowledge Graph Entities using Multi-Sense LSTMs","display_name":"Mapping Text to Knowledge Graph Entities using Multi-Sense LSTMs","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2888338319","doi":"https://doi.org/10.18653/v1/d18-1221","mag":"2888338319"},"language":"en","primary_location":{"id":"doi:10.18653/v1/d18-1221","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d18-1221","pdf_url":"https://www.aclweb.org/anthology/D18-1221.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 2018 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/D18-1221.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5032324612","display_name":"Dimitri Kartsaklis","orcid":null},"institutions":[{"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":["GB"],"is_corresponding":false,"raw_author_name":"Dimitri Kartsaklis","raw_affiliation_strings":["Department of Theoretical and Applied Linguistics University of Cambridge Cambridge, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Theoretical and Applied Linguistics University of Cambridge Cambridge, UK","institution_ids":["https://openalex.org/I241749"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091017313","display_name":"Mohammad Taher Pilehvar","orcid":"https://orcid.org/0000-0003-3694-4006"},"institutions":[{"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":["GB"],"is_corresponding":false,"raw_author_name":"Mohammad Taher Pilehvar","raw_affiliation_strings":["Department of Theoretical and Applied Linguistics University of Cambridge Cambridge, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Theoretical and Applied Linguistics University of Cambridge Cambridge, UK","institution_ids":["https://openalex.org/I241749"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073413742","display_name":"Nigel Collier","orcid":"https://orcid.org/0000-0002-7230-4164"},"institutions":[{"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":["GB"],"is_corresponding":false,"raw_author_name":"Nigel Collier","raw_affiliation_strings":["Department of Theoretical and Applied Linguistics University of Cambridge Cambridge, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Theoretical and Applied Linguistics University of Cambridge Cambridge, UK","institution_ids":["https://openalex.org/I241749"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.5755,"has_fulltext":true,"cited_by_count":55,"citation_normalized_percentile":{"value":0.96644763,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1959","last_page":"1970"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":1.0,"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":1.0,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9991000294685364,"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":0.8617602586746216},{"id":"https://openalex.org/keywords/knowledge-base","display_name":"Knowledge base","score":0.7442836761474609},{"id":"https://openalex.org/keywords/polysemy","display_name":"Polysemy","score":0.7436802387237549},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.672897219657898},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5789996981620789},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5480036735534668},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.5445854663848877},{"id":"https://openalex.org/keywords/phrase","display_name":"Phrase","score":0.5434541702270508},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.5001599788665771},{"id":"https://openalex.org/keywords/entity-linking","display_name":"Entity linking","score":0.462171733379364},{"id":"https://openalex.org/keywords/noun-phrase","display_name":"Noun phrase","score":0.4353542923927307},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3570657968521118},{"id":"https://openalex.org/keywords/noun","display_name":"Noun","score":0.1824253797531128},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.1723344624042511}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8617602586746216},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.7442836761474609},{"id":"https://openalex.org/C2780276568","wikidata":"https://www.wikidata.org/wiki/Q191928","display_name":"Polysemy","level":2,"score":0.7436802387237549},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.672897219657898},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5789996981620789},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5480036735534668},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.5445854663848877},{"id":"https://openalex.org/C2776224158","wikidata":"https://www.wikidata.org/wiki/Q187931","display_name":"Phrase","level":2,"score":0.5434541702270508},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.5001599788665771},{"id":"https://openalex.org/C96711827","wikidata":"https://www.wikidata.org/wiki/Q17012245","display_name":"Entity linking","level":3,"score":0.462171733379364},{"id":"https://openalex.org/C153962237","wikidata":"https://www.wikidata.org/wiki/Q1401131","display_name":"Noun phrase","level":3,"score":0.4353542923927307},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3570657968521118},{"id":"https://openalex.org/C121934690","wikidata":"https://www.wikidata.org/wiki/Q1084","display_name":"Noun","level":2,"score":0.1824253797531128},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.1723344624042511}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/d18-1221","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d18-1221","pdf_url":"https://www.aclweb.org/anthology/D18-1221.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 2018 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/d18-1221","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d18-1221","pdf_url":"https://www.aclweb.org/anthology/D18-1221.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 2018 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.8199999928474426,"display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G2663634960","display_name":"PheneBank: automatic extraction and validation of a database of human phenotype-disease associations in the scientific literature","funder_award_id":"MR/M025160/1","funder_id":"https://openalex.org/F4320334626","funder_display_name":"Medical Research Council"},{"id":"https://openalex.org/G5094827420","display_name":"SIPHS: Semantic interpretation of personal health messages for generating public health summaries","funder_award_id":"EP/M005089/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320309480","display_name":"Nvidia","ror":"https://ror.org/03jdj4y14"},{"id":"https://openalex.org/F4320334626","display_name":"Medical Research Council","ror":"https://ror.org/03x94j517"},{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2888338319.pdf","grobid_xml":"https://content.openalex.org/works/W2888338319.grobid-xml"},"referenced_works_count":50,"referenced_works":["https://openalex.org/W16329575","https://openalex.org/W618279829","https://openalex.org/W1010415138","https://openalex.org/W1522301498","https://openalex.org/W1526729636","https://openalex.org/W1549789254","https://openalex.org/W1614298861","https://openalex.org/W1756422141","https://openalex.org/W1794039122","https://openalex.org/W1896888216","https://openalex.org/W2038721957","https://openalex.org/W2064675550","https://openalex.org/W2074640468","https://openalex.org/W2100235303","https://openalex.org/W2107743791","https://openalex.org/W2117130368","https://openalex.org/W2120699290","https://openalex.org/W2127426251","https://openalex.org/W2127795553","https://openalex.org/W2130337399","https://openalex.org/W2142016317","https://openalex.org/W2142535891","https://openalex.org/W2154851992","https://openalex.org/W2158028897","https://openalex.org/W2162456950","https://openalex.org/W2164973920","https://openalex.org/W2169417777","https://openalex.org/W2184325618","https://openalex.org/W2236233024","https://openalex.org/W2242161203","https://openalex.org/W2393319904","https://openalex.org/W2417936835","https://openalex.org/W2499696929","https://openalex.org/W2509884321","https://openalex.org/W2514852614","https://openalex.org/W2525058744","https://openalex.org/W2571811098","https://openalex.org/W2612872092","https://openalex.org/W2613223139","https://openalex.org/W2759136286","https://openalex.org/W2962756421","https://openalex.org/W2963044711","https://openalex.org/W2963312446","https://openalex.org/W2963850840","https://openalex.org/W2964015378","https://openalex.org/W2964121744","https://openalex.org/W3098090436","https://openalex.org/W4233135949","https://openalex.org/W4297571622","https://openalex.org/W4297733535"],"related_works":["https://openalex.org/W1541691357","https://openalex.org/W2090135255","https://openalex.org/W2168409722","https://openalex.org/W4392237968","https://openalex.org/W2026505290","https://openalex.org/W2782437235","https://openalex.org/W1993715838","https://openalex.org/W2913363942","https://openalex.org/W2359088421","https://openalex.org/W2396445622"],"abstract_inverted_index":{"This":[0,118],"paper":[1,119],"addresses":[2],"the":[3,54,65,114,123],"problem":[4],"of":[5,22,87,98,113,125],"mapping":[6,15,106],"natural":[7],"language":[8],"text":[9,91],"to":[10,122],"knowledge":[11,39,66,93],"base":[12,67,94],"entities.":[13,95],"The":[14,41,96],"process":[16],"is":[17,44,69,120],"approached":[18],"as":[19,84],"a":[20,23,26,29,32,38,49,76,85,128],"composition":[21],"phrase":[24],"or":[25],"sentence":[27],"into":[28],"point":[30],"in":[31],"multi-dimensional":[33],"entity":[34,108],"space":[35,68],"obtained":[36],"from":[37,75],"graph.":[40],"compositional":[42],"model":[43],"an":[45],"LSTM":[46],"equipped":[47],"with":[48,79,111],"dynamic":[50],"disambiguation":[51],"mechanism":[52],"on":[53,103],"input":[55],"word":[56],"embeddings":[57],"(a":[58],"Multi-Sense":[59],"LSTM),":[60],"addressing":[61],"polysemy":[62],"issues.":[63],"Further,":[64],"prepared":[70],"by":[71],"collecting":[72],"random":[73],"walks":[74],"graph":[77],"enhanced":[78],"textual":[80],"features,":[81],"which":[82],"act":[83],"set":[86],"semantic":[88],"bridges":[89],"between":[90],"and":[92,107],"ideas":[97],"this":[99],"work":[100],"are":[101],"demonstrated":[102],"largescale":[104],"text-to-entity":[105],"classification":[109],"tasks,":[110],"state":[112],"art":[115],"results.":[116],"*":[117],"dedicated":[121],"memory":[124],"Euripides":[126],"Kartsaklis,":[127],"man":[129],"who":[130],"loved":[131],"technology.":[132]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":13},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
