{"id":"https://openalex.org/W3124980712","doi":"https://doi.org/10.1145/3459637.3482450","title":"Match-Ignition","display_name":"Match-Ignition","publication_year":2021,"publication_date":"2021-10-26","ids":{"openalex":"https://openalex.org/W3124980712","doi":"https://doi.org/10.1145/3459637.3482450","mag":"3124980712"},"language":"en","primary_location":{"id":"doi:10.1145/3459637.3482450","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3459637.3482450","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM International Conference on Information & Knowledge Management","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2101.06423","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5004759804","display_name":"Liang Pang","orcid":"https://orcid.org/0000-0003-1161-8546"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Pang","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101616866","display_name":"Yanyan Lan","orcid":"https://orcid.org/0000-0002-7811-3262"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanyan Lan","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029998682","display_name":"Xueqi Cheng","orcid":"https://orcid.org/0000-0002-5201-8195"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xueqi Cheng","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1396","last_page":"1405"},"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":0.9991000294685364,"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":0.9940999746322632,"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":0.8294622898101807},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.6493862271308899},{"id":"https://openalex.org/keywords/pagerank","display_name":"PageRank","score":0.6456919312477112},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.6012099385261536},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5343685746192932},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.48569783568382263},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.4665728807449341},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4496661424636841},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4488357901573181},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4458405375480652},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3420809507369995},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.2215389609336853},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.17762383818626404}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8294622898101807},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.6493862271308899},{"id":"https://openalex.org/C2779172887","wikidata":"https://www.wikidata.org/wiki/Q184316","display_name":"PageRank","level":2,"score":0.6456919312477112},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.6012099385261536},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5343685746192932},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.48569783568382263},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.4665728807449341},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4496661424636841},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4488357901573181},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4458405375480652},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3420809507369995},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.2215389609336853},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.17762383818626404},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3459637.3482450","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3459637.3482450","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM International Conference on Information & Knowledge Management","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2101.06423","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2101.06423","pdf_url":"https://arxiv.org/pdf/2101.06423","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2101.06423","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2101.06423","pdf_url":"https://arxiv.org/pdf/2101.06423","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.5899999737739563,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":63,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1525595230","https://openalex.org/W1603598191","https://openalex.org/W1880262756","https://openalex.org/W1974336599","https://openalex.org/W2051840895","https://openalex.org/W2066636486","https://openalex.org/W2116341502","https://openalex.org/W2128892113","https://openalex.org/W2131876387","https://openalex.org/W2136189984","https://openalex.org/W2142920810","https://openalex.org/W2155482025","https://openalex.org/W2157364932","https://openalex.org/W2170738476","https://openalex.org/W2178628967","https://openalex.org/W2265289447","https://openalex.org/W2286300105","https://openalex.org/W2338325072","https://openalex.org/W2402144811","https://openalex.org/W2429667833","https://openalex.org/W2470673105","https://openalex.org/W2536015822","https://openalex.org/W2539671052","https://openalex.org/W2593833795","https://openalex.org/W2626778328","https://openalex.org/W2738347542","https://openalex.org/W2766284073","https://openalex.org/W2787905871","https://openalex.org/W2799232306","https://openalex.org/W2896457183","https://openalex.org/W2911997761","https://openalex.org/W2915716523","https://openalex.org/W2922386288","https://openalex.org/W2949183401","https://openalex.org/W2951359136","https://openalex.org/W2952113915","https://openalex.org/W2953075226","https://openalex.org/W2953384591","https://openalex.org/W2963053846","https://openalex.org/W2963099470","https://openalex.org/W2963341956","https://openalex.org/W2964012472","https://openalex.org/W2964110616","https://openalex.org/W2964459578","https://openalex.org/W2965373594","https://openalex.org/W2970971581","https://openalex.org/W2977944219","https://openalex.org/W2995446988","https://openalex.org/W2996950013","https://openalex.org/W3015453090","https://openalex.org/W3015468748","https://openalex.org/W3019932981","https://openalex.org/W3021494766","https://openalex.org/W3091077982","https://openalex.org/W3098851962","https://openalex.org/W3103682594","https://openalex.org/W3122775348","https://openalex.org/W4252076394","https://openalex.org/W4295312788","https://openalex.org/W4297567729","https://openalex.org/W4299606006","https://openalex.org/W4385245566"],"related_works":["https://openalex.org/W2154222238","https://openalex.org/W2106626222","https://openalex.org/W2980866815","https://openalex.org/W1562405179","https://openalex.org/W2125493559","https://openalex.org/W1544909909","https://openalex.org/W2002053721","https://openalex.org/W2001641889","https://openalex.org/W2310552679","https://openalex.org/W4281476908"],"abstract_inverted_index":{"Neural":[0],"text":[1,28,245,251,273],"matching":[2,29,58,120,180,188,234,246,252,274],"models":[3,18,53,66,247],"have":[4],"been":[5],"widely":[6],"used":[7],"in":[8,36,118,202,232],"community":[9],"question":[10],"answering,":[11],"information":[12,117,153],"retrieval,":[13],"and":[14,47,81,109,113,179,208,248,267],"dialogue.":[15],"However,":[16],"these":[17,65],"designed":[19],"for":[20,51,70],"short":[21,244],"texts":[22,38],"cannot":[23],"well":[24,183],"address":[25],"the":[26,56,79,100,105,119,142,177,185,199,233,271],"long-form":[27,37,250,272],"problem,":[30,83],"because":[31,129],"there":[32],"are":[33,67,124,211],"many":[34],"contexts":[35,166],"can":[39,137],"not":[40],"be":[41,138,226],"directly":[42,147],"aligned":[43],"with":[44],"each":[45,203],"other,":[46],"it":[48],"is":[49,97,194],"difficult":[50],"existing":[52],"to":[54,98,107,127,150,167,174,182,259,269],"capture":[55,184],"key":[57,209],"signals":[59],"from":[60],"such":[61,152],"noisy":[62,116,223],"data.":[63],"Besides,":[64],"computationally":[68],"expensive":[69],"simply":[71],"use":[72,148],"all":[73],"textual":[74],"data":[75],"indiscriminately.":[76],"To":[77],"tackle":[78],"effectiveness":[80],"efficiency":[82],"we":[84,146,172],"propose":[85,173],"a":[86,156,191],"novel":[87],"hierarchical":[88],"noise":[89],"filtering":[90,178],"model,":[91],"namely":[92],"Match-Ignition.":[93],"The":[94],"main":[95],"idea":[96],"plug":[99],"well-known":[101],"PageRank":[102,149,216],"algorithm":[103],"into":[104],"Transformer,":[106,207],"identify":[108],"filter":[110,151],"both":[111,242],"sentence":[112,157],"word":[114,143,192],"level":[115],"process.":[121,235,275],"Noisy":[122],"sentences":[123,266],"usually":[125],"easy":[126],"detect":[128],"previous":[130],"work":[131],"has":[132],"shown":[133],"that":[134,239,261],"their":[135,165],"similarity":[136,158],"explicitly":[139],"evaluated":[140],"by":[141,214,230],"overlapping,":[144],"so":[145,171],"based":[154,197],"on":[155,164,198,217],"graph.":[159,219],"Unlike":[160],"sentences,":[161],"words":[162,210,224],"rely":[163],"express":[168],"concrete":[169],"meanings,":[170],"jointly":[175],"learn":[176],"process,":[181],"critical":[186],"word-level":[187],"signals.":[189],"Specifically,":[190],"graph":[193],"first":[195],"built":[196],"attention":[200],"scores":[201],"self-attention":[204],"block":[205],"of":[206],"then":[212],"selected":[213],"applying":[215],"this":[218,221],"In":[220],"way,":[222],"will":[225],"filtered":[227],"out":[228],"layer":[229,231],"Experimental":[236],"results":[237],"show":[238,260],"Match-Ignition":[240,262],"outperforms":[241],"SOTA":[243],"recent":[249],"models.":[253],"We":[254],"also":[255],"conduct":[256],"detailed":[257],"analysis":[258],"efficiently":[263],"captures":[264],"important":[265],"words,":[268],"facilitate":[270]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2021-02-01T00:00:00"}