{"id":"https://openalex.org/W2295570185","doi":"https://doi.org/10.3115/v1/n15-1086","title":"Learning Knowledge Graphs for Question Answering through Conversational Dialog","display_name":"Learning Knowledge Graphs for Question Answering through Conversational Dialog","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W2295570185","doi":"https://doi.org/10.3115/v1/n15-1086","mag":"2295570185"},"language":"en","primary_location":{"id":"doi:10.3115/v1/n15-1086","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/n15-1086","pdf_url":"https://www.aclweb.org/anthology/N15-1086.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 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies","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/N15-1086.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5027547428","display_name":"Ben Hixon","orcid":null},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]},{"id":"https://openalex.org/I4210138199","display_name":"University of Washington Applied Physics Laboratory","ror":"https://ror.org/03d17d270","country_code":"US","type":"facility","lineage":["https://openalex.org/I201448701","https://openalex.org/I4210138199"]},{"id":"https://openalex.org/I4210140341","display_name":"Allen Institute","ror":"https://ror.org/03cpe7c52","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210140341"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ben Hixon","raw_affiliation_strings":["Allen Institute for AI Seattle, WA, USA","Hannaneh Hajishirzi University of Washington Electrical Engineering Seattle, WA, USA","University of Washington Computer Science & Engineering Seattle, WA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Allen Institute for AI Seattle, WA, USA","institution_ids":["https://openalex.org/I4210140341"]},{"raw_affiliation_string":"Hannaneh Hajishirzi University of Washington Electrical Engineering Seattle, WA, USA","institution_ids":["https://openalex.org/I201448701"]},{"raw_affiliation_string":"University of Washington Computer Science & Engineering Seattle, WA, USA","institution_ids":["https://openalex.org/I4210138199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081635691","display_name":"Peter E. Clark","orcid":"https://orcid.org/0000-0002-8006-7015"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]},{"id":"https://openalex.org/I4210138199","display_name":"University of Washington Applied Physics Laboratory","ror":"https://ror.org/03d17d270","country_code":"US","type":"facility","lineage":["https://openalex.org/I201448701","https://openalex.org/I4210138199"]},{"id":"https://openalex.org/I4210140341","display_name":"Allen Institute","ror":"https://ror.org/03cpe7c52","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210140341"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Peter Clark","raw_affiliation_strings":["Allen Institute for AI Seattle, WA, USA","Hannaneh Hajishirzi University of Washington Electrical Engineering Seattle, WA, USA","University of Washington Computer Science & Engineering Seattle, WA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Allen Institute for AI Seattle, WA, USA","institution_ids":["https://openalex.org/I4210140341"]},{"raw_affiliation_string":"Hannaneh Hajishirzi University of Washington Electrical Engineering Seattle, WA, USA","institution_ids":["https://openalex.org/I201448701"]},{"raw_affiliation_string":"University of Washington Computer Science & Engineering Seattle, WA, USA","institution_ids":["https://openalex.org/I4210138199"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082305994","display_name":"Hannaneh Hajishirzi","orcid":"https://orcid.org/0000-0002-1055-6657"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hannaneh Hajishirzi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":9.258,"has_fulltext":true,"cited_by_count":114,"citation_normalized_percentile":{"value":0.98577164,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"851","last_page":"861"},"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/T12031","display_name":"Speech and dialogue systems","score":0.9950000047683716,"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":0.8631937503814697},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7373960614204407},{"id":"https://openalex.org/keywords/question-answering","display_name":"Question answering","score":0.6899500489234924},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.6208615899085999},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5580694675445557},{"id":"https://openalex.org/keywords/dialog-system","display_name":"Dialog system","score":0.5289404988288879},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.503283679485321},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.2751111090183258}],"concepts":[{"id":"https://openalex.org/C173853756","wikidata":"https://www.wikidata.org/wiki/Q86915","display_name":"Dialog box","level":2,"score":0.8631937503814697},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7373960614204407},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.6899500489234924},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.6208615899085999},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5580694675445557},{"id":"https://openalex.org/C190954187","wikidata":"https://www.wikidata.org/wiki/Q5270587","display_name":"Dialog system","level":3,"score":0.5289404988288879},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.503283679485321},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.2751111090183258}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3115/v1/n15-1086","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/n15-1086","pdf_url":"https://www.aclweb.org/anthology/N15-1086.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 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.3115/v1/n15-1086","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/n15-1086","pdf_url":"https://www.aclweb.org/anthology/N15-1086.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 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.7900000214576721}],"awards":[{"id":"https://openalex.org/G2099617666","display_name":"Graduate Research Fellowship Program (GRFP)","funder_award_id":"1256082","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G234791550","display_name":null,"funder_award_id":"#DGE\u20101256082","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G644432173","display_name":"EAGER: Generating and Understanding Narratives for Dynamic Environments","funder_award_id":"1352249","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320317052","display_name":"Allen Institute for Artificial Intelligence","ror":"https://ror.org/05w520734"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2295570185.pdf","grobid_xml":"https://content.openalex.org/works/W2295570185.grobid-xml"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W104024261","https://openalex.org/W181868102","https://openalex.org/W609736215","https://openalex.org/W655994999","https://openalex.org/W659240391","https://openalex.org/W1512387364","https://openalex.org/W1553682320","https://openalex.org/W1982962672","https://openalex.org/W1987863801","https://openalex.org/W2005814556","https://openalex.org/W2038721957","https://openalex.org/W2041289621","https://openalex.org/W2096968458","https://openalex.org/W2099269735","https://openalex.org/W2105717194","https://openalex.org/W2109029380","https://openalex.org/W2136480620","https://openalex.org/W2144108169","https://openalex.org/W2157624901","https://openalex.org/W2163716950","https://openalex.org/W2171278097","https://openalex.org/W2250777971","https://openalex.org/W2251044566","https://openalex.org/W2251859459","https://openalex.org/W2252016937","https://openalex.org/W2253854710","https://openalex.org/W2324258411","https://openalex.org/W2341421701","https://openalex.org/W2397801432","https://openalex.org/W2471366537"],"related_works":["https://openalex.org/W2500779211","https://openalex.org/W48079147","https://openalex.org/W326836678","https://openalex.org/W1963944933","https://openalex.org/W2563921006","https://openalex.org/W1600043506","https://openalex.org/W2111550420","https://openalex.org/W2735573723","https://openalex.org/W3133893348","https://openalex.org/W2549666521"],"abstract_inverted_index":{"We":[0,46],"describe":[1],"how":[2],"a":[3,26,35,61,81],"question-answering":[4,54],"system":[5,15],"can":[6,71],"learn":[7],"about":[8],"its":[9],"domain":[10,65],"from":[11,55,97],"conversational":[12],"dialogs.":[13],"Our":[14,73],"learns":[16],"to":[17,23,43,50,107,109],"relate":[18],"concepts":[19,31],"in":[20,25,34],"science":[21,93],"questions":[22,94],"propositions":[24],"fact":[27],"corpus,":[28],"stores":[29],"new":[30],"and":[32,39,101],"relations":[33,87,96],"knowledge":[36,52,99],"graph":[37,42],"(KG),":[38],"uses":[40],"the":[41,48],"solve":[44],"questions.":[45],"are":[47,88],"first":[49],"acquire":[51],"for":[53,91],"open,":[56],"natural":[57],"language":[58],"dialogs":[59,79],"without":[60],"fixed":[62],"ontology":[63],"or":[64],"model":[66],"that":[67],"predetermines":[68],"what":[69],"users":[70],"say.":[72],"relation-based":[74],"strategies":[75],"complete":[76],"more":[77,89],"successful":[78],"than":[80,95],"query":[82],"expansion":[83],"baseline,":[84],"our":[85,102],"taskdriven":[86],"effective":[90],"solving":[92],"general":[98],"sources,":[100],"method":[103],"is":[104],"practical":[105],"enough":[106],"generalize":[108],"other":[110],"domains.":[111]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":13},{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":18},{"year":2019,"cited_by_count":16},{"year":2018,"cited_by_count":16},{"year":2017,"cited_by_count":10},{"year":2016,"cited_by_count":13},{"year":2015,"cited_by_count":6}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}