{"id":"https://openalex.org/W2962927633","doi":"https://doi.org/10.1109/tpami.2019.2914054","title":"The Gap of Semantic Parsing: A Survey on Automatic Math Word Problem Solvers","display_name":"The Gap of Semantic Parsing: A Survey on Automatic Math Word Problem Solvers","publication_year":2019,"publication_date":"2019-04-30","ids":{"openalex":"https://openalex.org/W2962927633","doi":"https://doi.org/10.1109/tpami.2019.2914054","mag":"2962927633","pmid":"https://pubmed.ncbi.nlm.nih.gov/31056490"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2019.2914054","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2019.2914054","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://figshare.com/articles/journal_contribution/The_gap_of_semantic_parsing_A_survey_on_automatic_Math_word_problem_solvers/14236274","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5011200911","display_name":"Dongxiang Zhang","orcid":"https://orcid.org/0000-0002-9964-2470"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dongxiang Zhang","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100436085","display_name":"Lei Wang","orcid":"https://orcid.org/0000-0003-1228-6758"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Wang","raw_affiliation_strings":["Center for Future Media and School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"Center for Future Media and School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031755593","display_name":"Luming Zhang","orcid":"https://orcid.org/0000-0001-7187-6526"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Luming Zhang","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081863278","display_name":"Bing Tian Dai","orcid":"https://orcid.org/0000-0002-7245-7021"},"institutions":[{"id":"https://openalex.org/I79891267","display_name":"Singapore Management University","ror":"https://ror.org/050qmg959","country_code":"SG","type":"education","lineage":["https://openalex.org/I79891267"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Bing Tian Dai","raw_affiliation_strings":["School of Information Systems, Singapore Management University, Singapore"],"affiliations":[{"raw_affiliation_string":"School of Information Systems, Singapore Management University, Singapore","institution_ids":["https://openalex.org/I79891267"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052993469","display_name":"Heng Tao Shen","orcid":"https://orcid.org/0000-0002-2999-2088"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Heng Tao Shen","raw_affiliation_strings":["Center for Future Media and School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"Center for Future Media and School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5011200911"],"corresponding_institution_ids":["https://openalex.org/I168879160"],"apc_list":null,"apc_paid":null,"fwci":8.8259,"has_fulltext":false,"cited_by_count":135,"citation_normalized_percentile":{"value":0.98150565,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"42","issue":"9","first_page":"2287","last_page":"2305"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9987000226974487,"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":0.9987000226974487,"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":0.9983000159263611,"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/T10260","display_name":"Software Engineering Research","score":0.9937000274658203,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.7535547018051147},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.6644954681396484},{"id":"https://openalex.org/keywords/milestone","display_name":"Milestone","score":0.5796462893486023},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.5463268756866455},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5237579345703125},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.518031656742096},{"id":"https://openalex.org/keywords/semantic-gap","display_name":"Semantic gap","score":0.4890897870063782},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.46789681911468506},{"id":"https://openalex.org/keywords/bridge","display_name":"Bridge (graph theory)","score":0.435234010219574},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4284043312072754},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.425041139125824},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.23056092858314514},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.152724027633667},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.14200443029403687},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11951246857643127}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7535547018051147},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.6644954681396484},{"id":"https://openalex.org/C120060458","wikidata":"https://www.wikidata.org/wiki/Q10145","display_name":"Milestone","level":2,"score":0.5796462893486023},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.5463268756866455},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5237579345703125},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.518031656742096},{"id":"https://openalex.org/C86034646","wikidata":"https://www.wikidata.org/wiki/Q474311","display_name":"Semantic gap","level":4,"score":0.4890897870063782},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.46789681911468506},{"id":"https://openalex.org/C100776233","wikidata":"https://www.wikidata.org/wiki/Q2532492","display_name":"Bridge (graph theory)","level":2,"score":0.435234010219574},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4284043312072754},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.425041139125824},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.23056092858314514},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.152724027633667},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.14200443029403687},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11951246857643127},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"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/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tpami.2019.2914054","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2019.2914054","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:31056490","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/31056490","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on pattern analysis and machine intelligence","raw_type":null},{"id":"pmh:oai:figshare.com:article/14236274","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/The_gap_of_semantic_parsing_A_survey_on_automatic_Math_word_problem_solvers/14236274","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:figshare.com:article/14236274","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/The_gap_of_semantic_parsing_A_survey_on_automatic_Math_word_problem_solvers/14236274","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.7900000214576721,"display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G2592842074","display_name":null,"funder_award_id":"61602087","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3623292902","display_name":null,"funder_award_id":"61632007","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":172,"referenced_works":["https://openalex.org/W46758386","https://openalex.org/W108987309","https://openalex.org/W114565888","https://openalex.org/W117778217","https://openalex.org/W767947605","https://openalex.org/W1495981708","https://openalex.org/W1505640990","https://openalex.org/W1506904803","https://openalex.org/W1508977358","https://openalex.org/W1539746312","https://openalex.org/W1579869106","https://openalex.org/W1615249902","https://openalex.org/W1660460062","https://openalex.org/W1824971879","https://openalex.org/W1933349210","https://openalex.org/W1934909785","https://openalex.org/W1952243512","https://openalex.org/W1964071625","https://openalex.org/W1982580266","https://openalex.org/W1983419592","https://openalex.org/W2003505241","https://openalex.org/W2013938288","https://openalex.org/W2026151559","https://openalex.org/W2048229624","https://openalex.org/W2050273484","https://openalex.org/W2064675550","https://openalex.org/W2068700514","https://openalex.org/W2072950331","https://openalex.org/W2077824186","https://openalex.org/W2091428895","https://openalex.org/W2092041043","https://openalex.org/W2095905764","https://openalex.org/W2100968369","https://openalex.org/W2105717194","https://openalex.org/W2105825574","https://openalex.org/W2107193714","https://openalex.org/W2107582973","https://openalex.org/W2108484928","https://openalex.org/W2108598243","https://openalex.org/W2117074069","https://openalex.org/W2119605622","https://openalex.org/W2121406004","https://openalex.org/W2124386111","https://openalex.org/W2129657639","https://openalex.org/W2130942839","https://openalex.org/W2133280805","https://openalex.org/W2134495021","https://openalex.org/W2139354869","https://openalex.org/W2151103935","https://openalex.org/W2153579005","https://openalex.org/W2156909104","https://openalex.org/W2157331557","https://openalex.org/W2161951443","https://openalex.org/W2161969291","https://openalex.org/W2179488730","https://openalex.org/W2235799563","https://openalex.org/W2250539671","https://openalex.org/W2250564385","https://openalex.org/W2250769864","https://openalex.org/W2250861254","https://openalex.org/W2250893320","https://openalex.org/W2251349042","https://openalex.org/W2251673953","https://openalex.org/W2251935656","https://openalex.org/W2252202991","https://openalex.org/W2257979135","https://openalex.org/W2276364082","https://openalex.org/W2307512708","https://openalex.org/W2310425190","https://openalex.org/W2312489845","https://openalex.org/W2361488420","https://openalex.org/W2396878013","https://openalex.org/W2401715892","https://openalex.org/W2402499785","https://openalex.org/W2422675628","https://openalex.org/W2463951496","https://openalex.org/W2471059420","https://openalex.org/W2475046758","https://openalex.org/W2510828927","https://openalex.org/W2513499049","https://openalex.org/W2532931541","https://openalex.org/W2547185913","https://openalex.org/W2560730294","https://openalex.org/W2561975193","https://openalex.org/W2566831985","https://openalex.org/W2572127022","https://openalex.org/W2572223286","https://openalex.org/W2578193051","https://openalex.org/W2585777949","https://openalex.org/W2591669147","https://openalex.org/W2597655663","https://openalex.org/W2604849926","https://openalex.org/W2616258542","https://openalex.org/W2667333411","https://openalex.org/W2739107216","https://openalex.org/W2739178641","https://openalex.org/W2740024761","https://openalex.org/W2757050214","https://openalex.org/W2757276219","https://openalex.org/W2758343314","https://openalex.org/W2766447205","https://openalex.org/W2767825635","https://openalex.org/W2781821509","https://openalex.org/W2786796157","https://openalex.org/W2788411903","https://openalex.org/W2791307671","https://openalex.org/W2799079975","https://openalex.org/W2803620531","https://openalex.org/W2828541159","https://openalex.org/W2887712318","https://openalex.org/W2890767379","https://openalex.org/W2905122540","https://openalex.org/W2906257585","https://openalex.org/W2914466061","https://openalex.org/W2921873695","https://openalex.org/W2962800603","https://openalex.org/W2962958773","https://openalex.org/W2962970011","https://openalex.org/W2963199195","https://openalex.org/W2963510263","https://openalex.org/W2963537774","https://openalex.org/W2963620441","https://openalex.org/W2963705839","https://openalex.org/W2963779892","https://openalex.org/W2963842982","https://openalex.org/W2988119488","https://openalex.org/W3003374142","https://openalex.org/W4211177236","https://openalex.org/W4233876980","https://openalex.org/W4294170691","https://openalex.org/W4297789968","https://openalex.org/W4300448178","https://openalex.org/W6601908075","https://openalex.org/W6604489203","https://openalex.org/W6622324449","https://openalex.org/W6629633590","https://openalex.org/W6630235389","https://openalex.org/W6630327132","https://openalex.org/W6636161476","https://openalex.org/W6637201659","https://openalex.org/W6640955601","https://openalex.org/W6673687411","https://openalex.org/W6675774669","https://openalex.org/W6676049209","https://openalex.org/W6676133286","https://openalex.org/W6677516114","https://openalex.org/W6678161908","https://openalex.org/W6679436768","https://openalex.org/W6679915538","https://openalex.org/W6682691769","https://openalex.org/W6683889614","https://openalex.org/W6685145238","https://openalex.org/W6689608332","https://openalex.org/W6691197393","https://openalex.org/W6691698020","https://openalex.org/W6712276156","https://openalex.org/W6712917727","https://openalex.org/W6713399102","https://openalex.org/W6729254497","https://openalex.org/W6730668873","https://openalex.org/W6731945446","https://openalex.org/W6731976278","https://openalex.org/W6732386852","https://openalex.org/W6735377749","https://openalex.org/W6746822118","https://openalex.org/W6747729229","https://openalex.org/W6748842453","https://openalex.org/W6750652366","https://openalex.org/W6752924033","https://openalex.org/W6755702034","https://openalex.org/W6756524484","https://openalex.org/W7062426373"],"related_works":["https://openalex.org/W2572125165","https://openalex.org/W2750434199","https://openalex.org/W2347374138","https://openalex.org/W2129428289","https://openalex.org/W2050635624","https://openalex.org/W2101447046","https://openalex.org/W2091753323","https://openalex.org/W2168037874","https://openalex.org/W2078285696","https://openalex.org/W2135728080"],"abstract_inverted_index":{"Solving":[0,46],"mathematical":[1],"word":[2,125],"problems":[3,158,162],"(MWPs)":[4],"automatically":[5],"is":[6,49],"challenging,":[7],"primarily":[8],"due":[9],"to":[10,26,101,106,134],"the":[11,21,27,35,40,78,82,136,144,165,177],"semantic":[12,137],"gap":[13],"between":[14],"human-readable":[15],"words":[16],"and":[17,65,73,110,131,139],"machine-understandable":[18],"logics.":[19],"Despite":[20],"long":[22],"history":[23],"dated":[24],"back":[25],"1960s,":[28],"MWPs":[29,47],"have":[30,59,93],"regained":[31],"intensive":[32],"attention":[33],"in":[34,63,81,143,181],"past":[36],"few":[37],"years":[38],"with":[39,179],"advancement":[41],"of":[42,77,113,156,167],"Artificial":[43],"Intelligence":[44],"(AI).":[45],"successfully":[48],"considered":[50],"as":[51,160],"a":[52,103,108],"milestone":[53],"towards":[54],"general":[55],"AI.":[56],"Many":[57],"systems":[58],"claimed":[60],"promising":[61],"results":[62],"self-crafted":[64],"small-scale":[66],"datasets.":[67,147],"However,":[68],"when":[69],"applied":[70],"on":[71,123],"large":[72],"diverse":[74],"datasets,":[75],"none":[76],"proposed":[79,132],"methods":[80],"literature":[83],"achieves":[84],"high":[85],"precision,":[86],"revealing":[87],"that":[88,163],"current":[89],"MWP":[90],"solvers":[91,152],"still":[92],"much":[94],"room":[95],"for":[96,153,176],"improvement.":[97],"This":[98],"motivated":[99],"us":[100],"present":[102],"comprehensive":[104],"survey":[105],"deliver":[107],"clear":[109],"complete":[111],"picture":[112],"automatic":[114,151],"math":[115,157],"problem":[116],"solvers.":[117],"In":[118],"this":[119],"survey,":[120],"we":[121,170],"emphasize":[122],"algebraic":[124],"problems,":[126],"summarize":[127],"their":[128,141],"extracted":[129],"features":[130],"techniques":[133],"bridge":[135],"gap,":[138],"compare":[140],"performance":[142],"publicly":[145],"accessible":[146],"We":[148],"also":[149],"cover":[150],"other":[154],"types":[155],"such":[159],"geometric":[161],"require":[164],"understanding":[166],"diagrams.":[168],"Finally,":[169],"identify":[171],"several":[172],"emerging":[173],"research":[174],"directions":[175],"readers":[178],"interests":[180],"MWPs.":[182]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":18},{"year":2024,"cited_by_count":17},{"year":2023,"cited_by_count":37},{"year":2022,"cited_by_count":24},{"year":2021,"cited_by_count":21},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":6}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}
