{"id":"https://openalex.org/W2950457956","doi":"https://doi.org/10.18653/v1/p19-1081","title":"OpenDialKG: Explainable Conversational Reasoning with Attention-based Walks over Knowledge Graphs","display_name":"OpenDialKG: Explainable Conversational Reasoning with Attention-based Walks over Knowledge Graphs","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2950457956","doi":"https://doi.org/10.18653/v1/p19-1081","mag":"2950457956"},"language":"en","primary_location":{"id":"doi:10.18653/v1/p19-1081","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p19-1081","pdf_url":"https://www.aclweb.org/anthology/P19-1081.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":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/P19-1081.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5091107431","display_name":"Seungwhan Moon","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Seungwhan Moon","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039740415","display_name":"Pararth Shah","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pararth Shah","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052705851","display_name":"Anuj Kumar","orcid":"https://orcid.org/0000-0003-2740-2379"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Anuj Kumar","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5113753370","display_name":"Rajen Subba","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rajen Subba","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":310,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"845","last_page":"854"},"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9997000098228455,"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":0.9973000288009644,"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/dialog-box","display_name":"Dialog box","score":0.849382221698761},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8431205749511719},{"id":"https://openalex.org/keywords/utterance","display_name":"Utterance","score":0.8392833471298218},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.6213741898536682},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5605350732803345},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5271461009979248},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5060693621635437},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.5036835074424744},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.49886488914489746},{"id":"https://openalex.org/keywords/conversation","display_name":"Conversation","score":0.49781203269958496},{"id":"https://openalex.org/keywords/natural-language-understanding","display_name":"Natural language understanding","score":0.4315500259399414},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.3759881258010864},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.29081881046295166},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.13178390264511108},{"id":"https://openalex.org/keywords/communication","display_name":"Communication","score":0.08341214060783386},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.08253023028373718}],"concepts":[{"id":"https://openalex.org/C173853756","wikidata":"https://www.wikidata.org/wiki/Q86915","display_name":"Dialog box","level":2,"score":0.849382221698761},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8431205749511719},{"id":"https://openalex.org/C2775852435","wikidata":"https://www.wikidata.org/wiki/Q258403","display_name":"Utterance","level":2,"score":0.8392833471298218},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.6213741898536682},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5605350732803345},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5271461009979248},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5060693621635437},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.5036835074424744},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.49886488914489746},{"id":"https://openalex.org/C2777200299","wikidata":"https://www.wikidata.org/wiki/Q52943","display_name":"Conversation","level":2,"score":0.49781203269958496},{"id":"https://openalex.org/C2779439875","wikidata":"https://www.wikidata.org/wiki/Q1078276","display_name":"Natural language understanding","level":3,"score":0.4315500259399414},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.3759881258010864},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.29081881046295166},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.13178390264511108},{"id":"https://openalex.org/C46312422","wikidata":"https://www.wikidata.org/wiki/Q11024","display_name":"Communication","level":1,"score":0.08341214060783386},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.08253023028373718},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/p19-1081","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p19-1081","pdf_url":"https://www.aclweb.org/anthology/P19-1081.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"}],"best_oa_location":{"id":"doi:10.18653/v1/p19-1081","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p19-1081","pdf_url":"https://www.aclweb.org/anthology/P19-1081.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":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.5899999737739563}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2950457956.pdf","grobid_xml":"https://content.openalex.org/works/W2950457956.grobid-xml"},"referenced_works_count":39,"referenced_works":["https://openalex.org/W98100688","https://openalex.org/W1512387364","https://openalex.org/W1731081199","https://openalex.org/W1756422141","https://openalex.org/W2127795553","https://openalex.org/W2130942839","https://openalex.org/W2145544171","https://openalex.org/W2146502635","https://openalex.org/W2250539671","https://openalex.org/W2251058040","https://openalex.org/W2283196293","https://openalex.org/W2294685269","https://openalex.org/W2295754318","https://openalex.org/W2339196570","https://openalex.org/W2470673105","https://openalex.org/W2594726847","https://openalex.org/W2728059831","https://openalex.org/W2740100794","https://openalex.org/W2754573465","https://openalex.org/W2784400615","https://openalex.org/W2798362103","https://openalex.org/W2806600904","https://openalex.org/W2835434549","https://openalex.org/W2888338319","https://openalex.org/W2891501508","https://openalex.org/W2891704263","https://openalex.org/W2949972983","https://openalex.org/W2950902819","https://openalex.org/W2962974452","https://openalex.org/W2962982907","https://openalex.org/W2963217826","https://openalex.org/W2963520511","https://openalex.org/W2963918774","https://openalex.org/W2964112275","https://openalex.org/W2964116313","https://openalex.org/W2964210218","https://openalex.org/W2964223283","https://openalex.org/W2964352131","https://openalex.org/W4295249402"],"related_works":["https://openalex.org/W2063157598","https://openalex.org/W2013809956","https://openalex.org/W2107559347","https://openalex.org/W2097043665","https://openalex.org/W4236658683","https://openalex.org/W2020463334","https://openalex.org/W2026182709","https://openalex.org/W4230258867","https://openalex.org/W2367925007","https://openalex.org/W3015724364"],"abstract_inverted_index":{"We":[0,66],"study":[1],"a":[2,10,31,60,97,137,146],"conversational":[3,151],"reasoning":[4],"model":[5,72,111,134],"that":[6,73,109],"strategically":[7],"traverses":[8],"through":[9],"largescale":[11],"common":[12],"fact":[13],"knowledge":[14],"graph":[15,101],"(KG)":[16],"to":[17,54,90,149],"introduce":[18,91],"engaging":[19],"and":[20,24,57,86,105,116,129],"contextually":[21],"diverse":[22],"entities":[23,56,89],"attributes.":[25],"For":[26],"this":[27],"study,":[28],"we":[29],"collect":[30],"new":[32],"Open-ended":[33],"Dialog":[34],"KG":[35,62,138],"parallel":[36],"corpus":[37],"called":[38],"OpenDialKG,":[39],"where":[40],"each":[41,142],"utterance":[42],"from":[43,59],"15K":[44],"human-to-human":[45],"roleplaying":[46],"dialogs":[47],"is":[48],"manually":[49],"annotated":[50],"with":[51,63],"ground-truth":[52],"reference":[53],"corresponding":[55],"paths":[58],"large-scale":[61],"1M+":[64],"facts.":[65],"then":[67],"propose":[68],"the":[69,75,120],"DialKG":[70],"Walker":[71],"learns":[74],"symbolic":[76],"transitions":[77],"of":[78],"dialog":[79,94],"contexts":[80,95],"as":[81],"structured":[82],"traversals":[83],"over":[84],"KG,":[85],"predicts":[87],"natural":[88,115,147],"given":[92],"previous":[93],"via":[96],"novel":[98],"domain-agnostic,":[99],"attention-based":[100],"path":[102,140],"decoder.":[103],"Automatic":[104],"human":[106],"evaluations":[107],"show":[108],"our":[110],"can":[112],"retrieve":[113],"more":[114],"human-like":[117],"responses":[118],"than":[119],"state-ofthe-art":[121],"baselines":[122],"or":[123],"rule-based":[124],"models,":[125],"in":[126],"both":[127],"in-domain":[128],"cross-domain":[130],"tasks.":[131],"The":[132],"proposed":[133],"also":[135],"generates":[136],"walk":[139],"for":[141],"entity":[143],"retrieved,":[144],"providing":[145],"way":[148],"explain":[150],"reasoning.":[152]},"counts_by_year":[{"year":2026,"cited_by_count":9},{"year":2025,"cited_by_count":19},{"year":2024,"cited_by_count":26},{"year":2023,"cited_by_count":59},{"year":2022,"cited_by_count":64},{"year":2021,"cited_by_count":66},{"year":2020,"cited_by_count":59},{"year":2019,"cited_by_count":8}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}