{"id":"https://openalex.org/W3160364165","doi":"https://doi.org/10.1109/icassp39728.2021.9413620","title":"Integrating Subgraph-Aware Relation and Direction Reasoning for Question Answering","display_name":"Integrating Subgraph-Aware Relation and Direction Reasoning for Question Answering","publication_year":2021,"publication_date":"2021-05-13","ids":{"openalex":"https://openalex.org/W3160364165","doi":"https://doi.org/10.1109/icassp39728.2021.9413620","mag":"3160364165"},"language":"en","primary_location":{"id":"doi:10.1109/icassp39728.2021.9413620","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp39728.2021.9413620","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-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/A5100407869","display_name":"Xu Wang","orcid":"https://orcid.org/0000-0002-3984-7554"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Wang","raw_affiliation_strings":["State Key Laboratory of networking and switching technology, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of networking and switching technology, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100694824","display_name":"Shuai Zhao","orcid":"https://orcid.org/0000-0002-5217-004X"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuai Zhao","raw_affiliation_strings":["State Key Laboratory of networking and switching technology, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of networking and switching technology, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100640942","display_name":"Bo Cheng","orcid":"https://orcid.org/0000-0003-2160-2839"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Cheng","raw_affiliation_strings":["State Key Laboratory of networking and switching technology, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of networking and switching technology, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011412438","display_name":"Jiale Han","orcid":"https://orcid.org/0000-0001-6477-0424"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiale Han","raw_affiliation_strings":["State Key Laboratory of networking and switching technology, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of networking and switching technology, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076754984","display_name":"Yingting Li","orcid":"https://orcid.org/0000-0001-8661-0704"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Yingting","raw_affiliation_strings":["State Key Laboratory of networking and switching technology, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of networking and switching technology, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038736812","display_name":"Hao Yang","orcid":"https://orcid.org/0000-0001-8861-7010"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Yang","raw_affiliation_strings":["2012 Labs, Huawei Technologies CO., LTD, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"2012 Labs, Huawei Technologies CO., LTD, Beijing, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049735488","display_name":"Ivan Sekuli\u0107","orcid":"https://orcid.org/0009-0001-0036-0490"},"institutions":[{"id":"https://openalex.org/I57201433","display_name":"Universit\u00e0 della Svizzera italiana","ror":"https://ror.org/03c4atk17","country_code":"CH","type":"education","lineage":["https://openalex.org/I57201433"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Ivan Sekulic","raw_affiliation_strings":["University of Lugano"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Lugano","institution_ids":["https://openalex.org/I57201433"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020360628","display_name":"Guoshun Nan","orcid":"https://orcid.org/0000-0002-1987-2736"},"institutions":[{"id":"https://openalex.org/I152815399","display_name":"Singapore University of Technology and Design","ror":"https://ror.org/05j6fvn87","country_code":"SG","type":"education","lineage":["https://openalex.org/I152815399"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Guoshun Nan","raw_affiliation_strings":["StatNLP Research Group, Singapore University of Technology and Design"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"StatNLP Research Group, Singapore University of Technology and Design","institution_ids":["https://openalex.org/I152815399"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":8,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.05739194,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"7808","last_page":"7812"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9994000196456909,"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":0.9815000295639038,"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/relation","display_name":"Relation (database)","score":0.87742018699646},{"id":"https://openalex.org/keywords/question-answering","display_name":"Question answering","score":0.7490198016166687},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7001147270202637},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6077263355255127},{"id":"https://openalex.org/keywords/knowledge-representation-and-reasoning","display_name":"Knowledge representation and reasoning","score":0.49126070737838745},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46577781438827515},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.38857725262641907},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3258504271507263},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2684733271598816}],"concepts":[{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.87742018699646},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.7490198016166687},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7001147270202637},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6077263355255127},{"id":"https://openalex.org/C161301231","wikidata":"https://www.wikidata.org/wiki/Q3478658","display_name":"Knowledge representation and reasoning","level":2,"score":0.49126070737838745},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46577781438827515},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.38857725262641907},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3258504271507263},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2684733271598816},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp39728.2021.9413620","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp39728.2021.9413620","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.5299999713897705,"display_name":"Quality Education"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320326444","display_name":"Nova","ror":null},{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1880262756","https://openalex.org/W2064675550","https://openalex.org/W2094728533","https://openalex.org/W2163274265","https://openalex.org/W2251143283","https://openalex.org/W2340448811","https://openalex.org/W2511149293","https://openalex.org/W2731417566","https://openalex.org/W2755637027","https://openalex.org/W2783905278","https://openalex.org/W2890961898","https://openalex.org/W2911286998","https://openalex.org/W2949694638","https://openalex.org/W2962922117","https://openalex.org/W2963068946","https://openalex.org/W2963148487","https://openalex.org/W2963448850","https://openalex.org/W2998500863","https://openalex.org/W4231510805","https://openalex.org/W6639619044","https://openalex.org/W6684031499","https://openalex.org/W6743982663","https://openalex.org/W6748054437"],"related_works":["https://openalex.org/W2384605597","https://openalex.org/W2387743295","https://openalex.org/W3082787378","https://openalex.org/W2136007095","https://openalex.org/W2366230879","https://openalex.org/W3208425359","https://openalex.org/W4234874385","https://openalex.org/W2349927912","https://openalex.org/W4288102755","https://openalex.org/W2103247590"],"abstract_inverted_index":{"Question":[0],"Answering":[1],"(QA)":[2],"models":[3,26],"over":[4],"Knowledge":[5],"Bases":[6],"(KBs)":[7],"are":[8],"capable":[9],"of":[10,24,46,61],"providing":[11],"more":[12],"precise":[13],"answers":[14,35],"by":[15,52],"utilizing":[16],"relation":[17,31,54],"information":[18,45,60,114],"among":[19],"entities.":[20],"Although":[21],"effective,":[22],"most":[23],"these":[25,47,84],"solely":[27],"rely":[28],"on":[29,72,129],"fixed":[30],"representations":[32],"to":[33,103,106,115],"obtain":[34],"for":[36,68],"different":[37],"question-related":[38],"KB":[39],"subgraphs.":[40],"Hence,":[41],"the":[42,53,58,69,117],"rich":[43],"structured":[44],"subgraphs":[48],"may":[49],"be":[50],"overlooked":[51],"representation":[55],"vectors.":[56],"Meanwhile,":[57],"direction":[59,113],"reasoning,":[62],"which":[63,97],"has":[64,74],"been":[65,76],"proven":[66],"effective":[67],"answer":[70],"prediction":[71],"graphs,":[73],"not":[75],"fully":[77],"explored":[78],"in":[79,100],"existing":[80],"work.":[81],"To":[82],"address":[83],"challenges,":[85],"we":[86,111],"propose":[87],"a":[88],"novel":[89],"neural":[90],"model,":[91],"Relation-updated":[92],"Direction-guided":[93],"Answer":[94],"Selector":[95],"(RDAS),":[96],"converts":[98],"relations":[99],"each":[101],"subgraph":[102],"additional":[104],"nodes":[105],"learn":[107],"structure":[108],"information.":[109],"Additionally,":[110],"utilize":[112],"enhance":[116],"reasoning":[118],"ability.":[119],"Experimental":[120],"results":[121],"show":[122],"that":[123],"our":[124],"model":[125],"yields":[126],"substantial":[127],"improvements":[128],"two":[130],"widely":[131],"used":[132],"datasets.":[133]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
