{"id":"https://openalex.org/W2294429012","doi":"https://doi.org/10.3115/v1/n15-1165","title":"Random Walks and Neural Network Language Models on Knowledge Bases","display_name":"Random Walks and Neural Network Language Models on Knowledge Bases","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W2294429012","doi":"https://doi.org/10.3115/v1/n15-1165","mag":"2294429012"},"language":"en","primary_location":{"id":"doi:10.3115/v1/n15-1165","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/n15-1165","pdf_url":"https://doi.org/10.3115/v1/n15-1165","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.3115/v1/n15-1165","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5019511657","display_name":"Josu Goikoetxea","orcid":"https://orcid.org/0000-0001-5568-4014"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Josu Goikoetxea","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053230169","display_name":"Aitor Soroa","orcid":"https://orcid.org/0000-0001-8573-2654"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Aitor Soroa","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5047151336","display_name":"Eneko Agirre","orcid":"https://orcid.org/0000-0002-0195-4899"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Eneko Agirre","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5019511657"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":11.5747,"has_fulltext":false,"cited_by_count":64,"citation_normalized_percentile":{"value":0.98448243,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1434","last_page":"1439"},"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":0.9998999834060669,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9925000071525574,"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":0.8412874937057495},{"id":"https://openalex.org/keywords/random-walk","display_name":"Random walk","score":0.8145225048065186},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7585844993591309},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.684631884098053},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6588934659957886},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6139940023422241},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5370546579360962},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5283644199371338},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.518022358417511},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3408784866333008},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18147066235542297}],"concepts":[{"id":"https://openalex.org/C157659113","wikidata":"https://www.wikidata.org/wiki/Q533822","display_name":"WordNet","level":2,"score":0.8412874937057495},{"id":"https://openalex.org/C121194460","wikidata":"https://www.wikidata.org/wiki/Q856741","display_name":"Random walk","level":2,"score":0.8145225048065186},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7585844993591309},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.684631884098053},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6588934659957886},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6139940023422241},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5370546579360962},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5283644199371338},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.518022358417511},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3408784866333008},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18147066235542297},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3115/v1/n15-1165","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/n15-1165","pdf_url":"https://doi.org/10.3115/v1/n15-1165","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies","raw_type":"proceedings-article"},{"id":"pmh:oai:addi.ehu.eus:10810/70495","is_oa":true,"landing_page_url":"http://hdl.handle.net/10810/70495","pdf_url":null,"source":{"id":"https://openalex.org/S4306401964","display_name":"Communities in ADDI (University of the Basque Country)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I169108374","host_organization_name":"University of the Basque Country","host_organization_lineage":["https://openalex.org/I169108374"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"doi:10.3115/v1/n15-1165","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/n15-1165","pdf_url":"https://doi.org/10.3115/v1/n15-1165","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W71795751","https://openalex.org/W1498740961","https://openalex.org/W1854884267","https://openalex.org/W2026487812","https://openalex.org/W2038721957","https://openalex.org/W2067438047","https://openalex.org/W2107577105","https://openalex.org/W2117130368","https://openalex.org/W2127289991","https://openalex.org/W2130173309","https://openalex.org/W2141599568","https://openalex.org/W2153579005","https://openalex.org/W2158028897","https://openalex.org/W2158139315","https://openalex.org/W2159719802","https://openalex.org/W2170682101","https://openalex.org/W2251797829","https://openalex.org/W2251803266","https://openalex.org/W2882319491","https://openalex.org/W2950577311"],"related_works":["https://openalex.org/W2900382651","https://openalex.org/W1981879262","https://openalex.org/W2363417484","https://openalex.org/W4225863708","https://openalex.org/W1599970036","https://openalex.org/W1480103567","https://openalex.org/W158852162","https://openalex.org/W2003651848","https://openalex.org/W1849827364","https://openalex.org/W2786299737"],"abstract_inverted_index":{"Random":[0],"walks":[1,55],"over":[2],"large":[3,26],"knowledge":[4,46],"bases":[5],"like":[6],"WordNet":[7],"have":[8],"been":[9],"successfully":[10],"used":[11],"in":[12,48,61,69,119],"word":[13,66,70,99,134],"similarity,":[14],"relatedness":[15,71],"and":[16,56,72,110,132],"disambiguation":[17],"tasks.":[18],"Unfortunately,":[19],"those":[20,82,104],"algorithms":[21],"are":[22,101],"relatively":[23],"slow":[24],"for":[25],"repositories,":[27],"with":[28],"significant":[29],"memory":[30],"footprints.":[31],"In":[32],"this":[33],"paper":[34],"we":[35],"present":[36],"a":[37,45,49,84,89],"novel":[38,65],"algorithm":[39,109],"which":[40],"encodes":[41],"the":[42,98,106,116,120],"structure":[43],"of":[44,83,95,105],"base":[47],"continuous":[50,113],"vector":[51],"space,":[52],"combining":[53],"random":[54,85,107],"neural":[57],"net":[58],"language":[59],"models":[60],"order":[62],"to":[63,103,111,129],"produce":[64],"representations.":[67,135],"Evaluation":[68],"similar-":[73],"ity":[74],"datasets":[75],"yields":[76],"equal":[77],"or":[78],"better":[79],"results":[80],"than":[81],"walk":[86,108],"algorithm,":[87],"using":[88],"dense":[90],"representation":[91],"(300":[92],"dimensions":[93],"instead":[94],"117K).":[96],"Furthermore,":[97],"representations":[100],"complementary":[102],"corpus-based":[112],"representations,":[114],"improving":[115],"state-":[117],"of-the-art":[118],"similarity":[121],"dataset.":[122],"Our":[123],"technique":[124],"opens":[125],"up":[126],"exciting":[127],"opportunities":[128],"combine":[130],"distributional":[131],"knowledge-based":[133]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":16},{"year":2018,"cited_by_count":11},{"year":2017,"cited_by_count":10},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":1}],"updated_date":"2026-05-19T21:40:30.786675","created_date":"2016-06-24T00:00:00"}
