{"id":"https://openalex.org/W4284714336","doi":"https://doi.org/10.1145/3477495.3531824","title":"Expression Syntax Information Bottleneck for Math Word Problems","display_name":"Expression Syntax Information Bottleneck for Math Word Problems","publication_year":2022,"publication_date":"2022-07-06","ids":{"openalex":"https://openalex.org/W4284714336","doi":"https://doi.org/10.1145/3477495.3531824"},"language":"en","primary_location":{"id":"doi:10.1145/3477495.3531824","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3477495.3531824","pdf_url":null,"source":{"id":"https://openalex.org/S4363608773","display_name":"Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100567751","display_name":"Jing Xiong","orcid":"https://orcid.org/0009-0000-2263-124X"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Xiong","raw_affiliation_strings":["Sun Yat-sen University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University, Shenzhen, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059967200","display_name":"Chengming Li","orcid":"https://orcid.org/0000-0002-4592-3875"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengming Li","raw_affiliation_strings":["Sun Yat-sen University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University, Shenzhen, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054067088","display_name":"Min Yang","orcid":"https://orcid.org/0000-0003-3814-2728"},"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/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Yang","raw_affiliation_strings":["Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China","institution_ids":["https://openalex.org/I4210145761","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007941489","display_name":"Xiping Hu","orcid":"https://orcid.org/0000-0002-4952-699X"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiping Hu","raw_affiliation_strings":["Sun Yat-sen University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University, Shenzhen, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100380066","display_name":"Bin Hu","orcid":"https://orcid.org/0000-0003-3514-5413"},"institutions":[{"id":"https://openalex.org/I76214153","display_name":"Lanzhou University","ror":"https://ror.org/01mkqqe32","country_code":"CN","type":"education","lineage":["https://openalex.org/I76214153"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Hu","raw_affiliation_strings":["Lanzhou University, Lanzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lanzhou University, Lanzhou, China","institution_ids":["https://openalex.org/I76214153"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2166","last_page":"2171"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9984999895095825,"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":0.9984999895095825,"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":0.9962999820709229,"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/T11902","display_name":"Intelligent Tutoring Systems and Adaptive Learning","score":0.9610999822616577,"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/information-bottleneck-method","display_name":"Information bottleneck method","score":0.8872765302658081},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.750932514667511},{"id":"https://openalex.org/keywords/syntax","display_name":"Syntax","score":0.7494367361068726},{"id":"https://openalex.org/keywords/abstract-syntax-tree","display_name":"Abstract syntax tree","score":0.6391217112541199},{"id":"https://openalex.org/keywords/expression","display_name":"Expression (computer science)","score":0.6156309247016907},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.5955724716186523},{"id":"https://openalex.org/keywords/mutual-information","display_name":"Mutual information","score":0.5492860078811646},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5433995127677917},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.49029305577278137},{"id":"https://openalex.org/keywords/abstract-syntax","display_name":"Abstract syntax","score":0.4620022475719452},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4605386257171631},{"id":"https://openalex.org/keywords/spurious-relationship","display_name":"Spurious relationship","score":0.43768101930618286},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.43002861738204956},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2978054881095886},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.18338888883590698}],"concepts":[{"id":"https://openalex.org/C60008888","wikidata":"https://www.wikidata.org/wiki/Q6031013","display_name":"Information bottleneck method","level":3,"score":0.8872765302658081},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.750932514667511},{"id":"https://openalex.org/C60048249","wikidata":"https://www.wikidata.org/wiki/Q37437","display_name":"Syntax","level":2,"score":0.7494367361068726},{"id":"https://openalex.org/C58646249","wikidata":"https://www.wikidata.org/wiki/Q127380","display_name":"Abstract syntax tree","level":3,"score":0.6391217112541199},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.6156309247016907},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.5955724716186523},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.5492860078811646},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5433995127677917},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.49029305577278137},{"id":"https://openalex.org/C114408938","wikidata":"https://www.wikidata.org/wiki/Q333373","display_name":"Abstract syntax","level":3,"score":0.4620022475719452},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4605386257171631},{"id":"https://openalex.org/C97256817","wikidata":"https://www.wikidata.org/wiki/Q1462316","display_name":"Spurious relationship","level":2,"score":0.43768101930618286},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.43002861738204956},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2978054881095886},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.18338888883590698},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3477495.3531824","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3477495.3531824","pdf_url":null,"source":{"id":"https://openalex.org/S4363608773","display_name":"Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.7799999713897705,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2620998106","https://openalex.org/W2757276219","https://openalex.org/W2905122540","https://openalex.org/W2964710271","https://openalex.org/W3035147733","https://openalex.org/W3083978735","https://openalex.org/W3174583470","https://openalex.org/W4365799947"],"related_works":["https://openalex.org/W2939693078","https://openalex.org/W2783047733","https://openalex.org/W3189092450","https://openalex.org/W4287238667","https://openalex.org/W3149287595","https://openalex.org/W4389751695","https://openalex.org/W2077104824","https://openalex.org/W3176913510","https://openalex.org/W3173203577","https://openalex.org/W4387947380"],"abstract_inverted_index":{"Math":[0],"Word":[1],"Problems":[2],"(MWP)":[3],"aims":[4],"to":[5,16,20,30,34,54,105,109,129,159,163],"automatically":[6],"solve":[7],"mathematical":[8],"questions":[9],"given":[10],"in":[11,24,46,171],"texts.":[12],"Previous":[13],"studies":[14],"tend":[15],"design":[17,67,155],"complex":[18],"models":[19,108],"capture":[21,130],"additional":[22],"information":[23,81,132,170],"the":[25,32,47,88,111,121,143,147,161,167,172],"original":[26],"text":[27],"so":[28,127],"as":[29,128],"enable":[31],"model":[33,148,162,184],"gain":[35],"more":[36,151,165,193],"comprehensive":[37],"features.":[38,98],"In":[39],"this":[40,64],"paper,":[41],"we":[42,66,154],"turn":[43],"our":[44,183],"attention":[45],"opposite":[48],"direction,":[49],"and":[50,137,149],"work":[51],"on":[52,79,166,177],"how":[53],"discard":[55,138],"redundant":[56],"features":[57,86],"containing":[58,96],"spurious":[59],"correlations":[60],"for":[61,74,116],"MWP.":[62],"To":[63,141],"end,":[65],"an":[68],"Expression":[69],"Syntax":[70],"Information":[71],"Bottleneck":[72],"method":[73],"MWP":[75],"(called":[76],"ESIB)":[77],"based":[78],"variational":[80],"bottleneck,":[82],"which":[83],"extracts":[84],"essential":[85],"of":[87,102,120,133,146],"expression":[89,113,134,168],"syntax":[90,114,135,169],"tree":[91,115,136],"while":[92],"filtering":[93],"latent-specific":[94,139],"redundancy":[95],"syntax-irrelevant":[97],"The":[99],"key":[100],"idea":[101],"ESIB":[103],"is":[104],"encourage":[106,160],"multiple":[107],"predict":[110],"same":[112,122],"different":[117],"problem":[118,123],"representations":[119],"by":[124],"mutual":[125],"learning":[126],"consistent":[131],"redundancy.":[140],"improve":[142],"generalization":[144],"ability":[145],"generate":[150],"diverse":[152,194],"expressions,":[153],"a":[156],"self-distillation":[157],"loss":[158],"rely":[164],"latent":[173],"space.":[174],"Experimental":[175],"results":[176,189],"two":[178],"large-scale":[179],"benchmarks":[180],"show":[181],"that":[182],"not":[185],"only":[186],"achieves":[187],"state-of-the-art":[188],"but":[190],"also":[191],"generates":[192],"solutions.":[195]},"counts_by_year":[{"year":2023,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
