{"id":"https://openalex.org/W4300865673","doi":"https://doi.org/10.1145/3502720","title":"Contextual Path Retrieval: A Contextual Entity Relation Embedding-based Approach","display_name":"Contextual Path Retrieval: A Contextual Entity Relation Embedding-based Approach","publication_year":2022,"publication_date":"2022-10-03","ids":{"openalex":"https://openalex.org/W4300865673","doi":"https://doi.org/10.1145/3502720"},"language":"en","primary_location":{"id":"doi:10.1145/3502720","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3502720","pdf_url":null,"source":{"id":"https://openalex.org/S4394735545","display_name":"ACM Transactions on Information Systems","issn_l":"1046-8188","issn":["1046-8188","1558-2868"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Information Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5018222205","display_name":"Pei-Chi Lo","orcid":"https://orcid.org/0000-0003-2553-1257"},"institutions":[{"id":"https://openalex.org/I79891267","display_name":"Singapore Management University","ror":"https://ror.org/050qmg959","country_code":"SG","type":"education","lineage":["https://openalex.org/I79891267"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Pei-Chi Lo","raw_affiliation_strings":["Singapore Management University"],"affiliations":[{"raw_affiliation_string":"Singapore Management University","institution_ids":["https://openalex.org/I79891267"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039617569","display_name":"Ee\u2010Peng Lim","orcid":"https://orcid.org/0000-0003-0065-8665"},"institutions":[{"id":"https://openalex.org/I79891267","display_name":"Singapore Management University","ror":"https://ror.org/050qmg959","country_code":"SG","type":"education","lineage":["https://openalex.org/I79891267"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Ee-Peng Lim","raw_affiliation_strings":["Singapore Management University"],"affiliations":[{"raw_affiliation_string":"Singapore Management University","institution_ids":["https://openalex.org/I79891267"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5018222205"],"corresponding_institution_ids":["https://openalex.org/I79891267"],"apc_list":null,"apc_paid":null,"fwci":0.7957,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.76870495,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"41","issue":"1","first_page":"1","last_page":"38"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.994700014591217,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.994700014591217,"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/T10028","display_name":"Topic Modeling","score":0.9873999953269958,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9854999780654907,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.7880586385726929},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.7068490982055664},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.6620434522628784},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.6444514989852905},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5466766953468323},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5422216057777405},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5159314274787903},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.4764428734779358},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.4467238187789917},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3749721646308899},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.35762450098991394},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3448600172996521},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33447563648223877}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7880586385726929},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.7068490982055664},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.6620434522628784},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.6444514989852905},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5466766953468323},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5422216057777405},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5159314274787903},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.4764428734779358},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.4467238187789917},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3749721646308899},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.35762450098991394},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3448600172996521},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33447563648223877},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3502720","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3502720","pdf_url":null,"source":{"id":"https://openalex.org/S4394735545","display_name":"ACM Transactions on Information Systems","issn_l":"1046-8188","issn":["1046-8188","1558-2868"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Information Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.4399999976158142,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320709","display_name":"National Research Foundation Singapore","ror":"https://ror.org/03cpyc314"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2064675550","https://openalex.org/W2184957013","https://openalex.org/W2230586094","https://openalex.org/W2283196293","https://openalex.org/W2433281745","https://openalex.org/W2482023025","https://openalex.org/W2556343638","https://openalex.org/W2606411279","https://openalex.org/W2768348081","https://openalex.org/W2801992635","https://openalex.org/W2962886429","https://openalex.org/W2962936385","https://openalex.org/W2963855739","https://openalex.org/W2963866616","https://openalex.org/W2998704965","https://openalex.org/W6734023787"],"related_works":["https://openalex.org/W2372020181","https://openalex.org/W2156531654","https://openalex.org/W1581723585","https://openalex.org/W4378714697","https://openalex.org/W2294330161","https://openalex.org/W2187606256","https://openalex.org/W2940472653","https://openalex.org/W2129146436","https://openalex.org/W2253069048","https://openalex.org/W2804553224"],"abstract_inverted_index":{"Contextual":[0,40],"path":[1,58,69,79,108,119],"retrieval":[2,34],"(CPR)":[3],"refers":[4],"to":[5,76,80,117,179],"the":[6,23,38,82,87,181],"task":[7],"of":[8,15,141,184],"finding":[9],"contextual":[10,88],"path(s)":[11],"between":[12,25],"a":[13,18,28,49,54,68,73,132,175],"pair":[14],"entities":[16],"in":[17,27],"knowledge":[19],"graph":[20],"that":[21,52,60,71,84,150,160],"explains":[22],"connection":[24],"them":[26],"given":[29],"context.":[30],"For":[31,90,107],"this":[32],"novel":[33,96],"task,":[35],"we":[36,93,110,122,130],"propose":[37,94,111],"Embedding-based":[39],"Path":[41],"Retrieval":[42],"(ECPR)":[43],"framework.":[44],"ECPR":[45,154],"is":[46],"based":[47,152],"on":[48,153],"three-component":[50],"structure":[51],"includes":[53],"context":[55,63,91,97,164],"encoder":[56,59],"and":[57,64,67,104,137,159],"encode":[61],"query":[62],"path,":[65],"respectively,":[66],"ranker":[70],"assigns":[72],"ranking":[74],"score":[75],"each":[77],"candidate":[78],"determine":[81],"one":[83],"should":[85],"be":[86],"path.":[89],"encoding,":[92,109],"two":[95,124,138,162],"encoding":[98],"methods,":[99,158],"i.e.,":[100],"context-fused":[101],"entity":[102],"embeddings":[103],"contextualized":[105],"embeddings.":[106],"PathVAE,":[112],"an":[113],"inductive":[114],"embedding":[115],"approach":[116],"generate":[118],"representations.":[120],"Finally,":[121],"explore":[123],"path-ranking":[125],"approaches.":[126],"In":[127],"our":[128,161],"evaluation,":[129],"construct":[131],"synthetic":[133],"dataset":[134],"from":[135],"Wikipedia":[136],"real":[139],"datasets":[140],"Wikinews":[142],"articles":[143],"constructed":[144],"through":[145],"crowdsourcing.":[146],"Our":[147],"experiments":[148],"show":[149,180],"methods":[151],"framework":[155],"outperform":[156],"baseline":[157],"proposed":[163],"encoders":[165],"yield":[166],"significantly":[167],"better":[168],"performance":[169],"than":[170],"baselines.":[171],"We":[172],"also":[173],"analyze":[174],"few":[176],"case":[177],"studies":[178],"distinct":[182],"features":[183],"ECPR-based":[185],"methods.":[186]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
