{"id":"https://openalex.org/W4392902460","doi":"https://doi.org/10.1109/icassp48485.2024.10448071","title":"M<sup>3</sup>TQA: Multi-View, Multi-Hop and Multi-Stage Reasoning for Temporal Question Answering","display_name":"M<sup>3</sup>TQA: Multi-View, Multi-Hop and Multi-Stage Reasoning for Temporal Question Answering","publication_year":2024,"publication_date":"2024-03-18","ids":{"openalex":"https://openalex.org/W4392902460","doi":"https://doi.org/10.1109/icassp48485.2024.10448071"},"language":"en","primary_location":{"id":"doi:10.1109/icassp48485.2024.10448071","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp48485.2024.10448071","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 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/A5093106447","display_name":"Zhiyuan Zha","orcid":"https://orcid.org/0000-0001-8702-4088"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhiyuan Zha","raw_affiliation_strings":["Renmin University of China,School of Information,Beijing,China","School of Information, Renmin University of China, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Renmin University of China,School of Information,Beijing,China","institution_ids":["https://openalex.org/I78988378"]},{"raw_affiliation_string":"School of Information, Renmin University of China, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046651627","display_name":"Pengnian Qi","orcid":"https://orcid.org/0000-0001-9062-7314"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengnian Qi","raw_affiliation_strings":["Renmin University of China,School of Information,Beijing,China","School of Information, Renmin University of China, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Renmin University of China,School of Information,Beijing,China","institution_ids":["https://openalex.org/I78988378"]},{"raw_affiliation_string":"School of Information, Renmin University of China, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050860447","display_name":"Xigang Bao","orcid":"https://orcid.org/0009-0002-3250-2403"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xigang Bao","raw_affiliation_strings":["Renmin University of China,School of Information,Beijing,China","School of Information, Renmin University of China, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Renmin University of China,School of Information,Beijing,China","institution_ids":["https://openalex.org/I78988378"]},{"raw_affiliation_string":"School of Information, Renmin University of China, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004922755","display_name":"Mengyuan Tian","orcid":"https://orcid.org/0009-0006-0565-3838"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengyuan Tian","raw_affiliation_strings":["Renmin University of China,School of Information,Beijing,China","School of Information, Renmin University of China, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Renmin University of China,School of Information,Beijing,China","institution_ids":["https://openalex.org/I78988378"]},{"raw_affiliation_string":"School of Information, Renmin University of China, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102713872","display_name":"Biao Qin","orcid":"https://orcid.org/0000-0002-4304-675X"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Biao Qin","raw_affiliation_strings":["Renmin University of China,School of Information,Beijing,China","School of Information, Renmin University of China, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Renmin University of China,School of Information,Beijing,China","institution_ids":["https://openalex.org/I78988378"]},{"raw_affiliation_string":"School of Information, Renmin University of China, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5093106447"],"corresponding_institution_ids":["https://openalex.org/I78988378"],"apc_list":null,"apc_paid":null,"fwci":1.4287,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.83348092,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"10086","last_page":"10090"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9993000030517578,"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":0.9993000030517578,"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":0.9993000030517578,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9868000149726868,"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/computer-science","display_name":"Computer science","score":0.7303792238235474},{"id":"https://openalex.org/keywords/question-answering","display_name":"Question answering","score":0.7176227569580078},{"id":"https://openalex.org/keywords/hop","display_name":"Hop (telecommunications)","score":0.5158811807632446},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.49464985728263855},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4928450584411621},{"id":"https://openalex.org/keywords/concatenation","display_name":"Concatenation (mathematics)","score":0.467048317193985},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45606765151023865},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.39098143577575684},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.34440362453460693},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3366687595844269},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.16106414794921875},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10482645034790039}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7303792238235474},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.7176227569580078},{"id":"https://openalex.org/C25906391","wikidata":"https://www.wikidata.org/wiki/Q1432381","display_name":"Hop (telecommunications)","level":2,"score":0.5158811807632446},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.49464985728263855},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4928450584411621},{"id":"https://openalex.org/C87619178","wikidata":"https://www.wikidata.org/wiki/Q126002","display_name":"Concatenation (mathematics)","level":2,"score":0.467048317193985},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45606765151023865},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.39098143577575684},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.34440362453460693},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3366687595844269},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.16106414794921875},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10482645034790039},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp48485.2024.10448071","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp48485.2024.10448071","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W2897253439","https://openalex.org/W2955222834","https://openalex.org/W2962936385","https://openalex.org/W2970986510","https://openalex.org/W3034862985","https://openalex.org/W3176757281","https://openalex.org/W3200796517","https://openalex.org/W3209273204","https://openalex.org/W4221151629","https://openalex.org/W4283793506","https://openalex.org/W4287832310","https://openalex.org/W4304193601","https://openalex.org/W4367047445","https://openalex.org/W4372259959","https://openalex.org/W4382202847","https://openalex.org/W4382239895","https://openalex.org/W4385571357","https://openalex.org/W4385573308","https://openalex.org/W4385574100","https://openalex.org/W4386566692","https://openalex.org/W4392669753","https://openalex.org/W6631964550","https://openalex.org/W6734023787","https://openalex.org/W6771485939","https://openalex.org/W6771929373","https://openalex.org/W6789705260","https://openalex.org/W6845832271"],"related_works":["https://openalex.org/W2373577936","https://openalex.org/W3095575180","https://openalex.org/W2389596151","https://openalex.org/W4221148444","https://openalex.org/W4226054107","https://openalex.org/W4387678054","https://openalex.org/W4306784355","https://openalex.org/W2784004155","https://openalex.org/W4246226292","https://openalex.org/W2150768546"],"abstract_inverted_index":{"Knowledge":[0],"Graph":[1],"(KG)":[2],"have":[3,36,42],"attained":[4],"notable":[5],"triumph":[6],"over":[7],"Question":[8],"Answering":[9],"(QA)":[10],"tasks.":[11],"However,":[12],"the":[13,22,43,49,57,87,148,168],"presence":[14],"of":[15,73,151,170],"temporal":[16],"constraints":[17,55],"on":[18,162],"numerous":[19],"facts":[20],"within":[21],"real":[23],"world":[24],"has":[25],"sparked":[26],"heightened":[27],"interest":[28],"towards":[29],"Temporal":[30],"KGQA":[31],"(TKGQA).":[32],"Although":[33],"previous":[34],"methods":[35],"achieved":[37],"great":[38],"progress,":[39],"they":[40],"still":[41],"following":[44],"limitations:":[45],"1)PLMs":[46],"cannot":[47],"capture":[48,135],"entity":[50],"drift":[51],"caused":[52],"by":[53],"time":[54],"in":[56,82,129],"question.":[58],"2)":[59],"Complex":[60],"questions":[61],"require":[62],"multi-hop":[63,131,136],"reasoning":[64,98],"between":[65,139],"entities.":[66,140],"3)":[67],"Fusion":[68],"strategies":[69],"(addition":[70],"or":[71],"concatenation)":[72],"PLMs":[74],"and":[75,96],"KG":[76,117],"information":[77,118,153],"ignore":[78],"feature":[79],"differences,":[80],"resulting":[81],"suboptimal":[83],"solutions.":[84],"To":[85],"alleviate":[86],"above":[88],"problems,":[89],"we":[90,108,142],"propose":[91],"a":[92,111,130,155],"novel":[93],"Multi-view,":[94],"Multi-hop":[95],"Multi-stage":[97],"paradigm":[99],"for":[100,115],"TKGQA":[101],"(M":[102],"<sup":[103],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[104],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">3</sup>":[105],"TQA).":[106],"Specifically,":[107],"first":[109],"design":[110,143],"multi-view":[112],"calibration":[113],"module":[114,133],"fusing":[116],"to":[119,134],"calibrate":[120],"question":[121],"representation.":[122],"We":[123],"next":[124],"construct":[125],"graph":[126],"neural":[127],"network":[128],"modeling":[132],"message":[137],"passing":[138],"Finally,":[141],"multi-stage":[144],"aggregation":[145],"that":[146],"facilitates":[147],"adaptive":[149],"fusion":[150],"heterogeneous":[152],"with":[154],"two-stage":[156],"interaction":[157],"alignment":[158],"process.":[159],"The":[160],"performance":[161],"two":[163],"mainstream":[164],"benchmark":[165],"datasets":[166],"verifies":[167],"effectiveness":[169],"our":[171],"proposed":[172],"model.":[173]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2}],"updated_date":"2026-03-18T14:38:29.013473","created_date":"2025-10-10T00:00:00"}
