{"id":"https://openalex.org/W2944472252","doi":"https://doi.org/10.1145/3314939","title":"A Neural Semantic Parser for Math Problems Incorporating Multi-Sentence Information","display_name":"A Neural Semantic Parser for Math Problems Incorporating Multi-Sentence Information","publication_year":2019,"publication_date":"2019-05-09","ids":{"openalex":"https://openalex.org/W2944472252","doi":"https://doi.org/10.1145/3314939","mag":"2944472252"},"language":"en","primary_location":{"id":"doi:10.1145/3314939","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3314939","pdf_url":null,"source":{"id":"https://openalex.org/S4306421405","display_name":"ACM Transactions on Asian and Low-Resource Language Information Processing","issn_l":"2375-4699","issn":["2375-4699","2375-4702"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Asian and Low-Resource Language Information Processing","raw_type":"journal-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/A5057222220","display_name":"Ruiyong Sun","orcid":"https://orcid.org/0000-0002-2423-1722"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruiyong Sun","raw_affiliation_strings":["Fudan University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102790649","display_name":"Yijia Zhao","orcid":"https://orcid.org/0000-0002-8356-5431"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yijia Zhao","raw_affiliation_strings":["Fudan University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100665641","display_name":"Qi Zhang","orcid":"https://orcid.org/0000-0003-2942-7430"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Zhang","raw_affiliation_strings":["Fudan University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001917774","display_name":"Keyu Ding","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Keyu Ding","raw_affiliation_strings":["iFLYTEK CO., LTD, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"iFLYTEK CO., LTD, Hefei, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103143080","display_name":"Shijin Wang","orcid":"https://orcid.org/0000-0002-4340-7420"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shijin Wang","raw_affiliation_strings":["iFLYTEK CO., LTD, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"iFLYTEK CO., LTD, Hefei, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076912232","display_name":"Wei Cui","orcid":"https://orcid.org/0000-0003-1755-7887"},"institutions":[{"id":"https://openalex.org/I4210120069","display_name":"Ministry of Science and Technology of the People's Republic of China","ror":"https://ror.org/027s68j25","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210120069","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cui Wei","raw_affiliation_strings":["Information Center of Ministry of Science and Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Center of Ministry of Science and Technology, Beijing, China","institution_ids":["https://openalex.org/I4210120069"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7059,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.77396532,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"18","issue":"4","first_page":"1","last_page":"16"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9998000264167786,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9998000264167786,"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/T10028","display_name":"Topic Modeling","score":0.9997000098228455,"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/T13629","display_name":"Text Readability and Simplification","score":0.9824000000953674,"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":0.846748948097229},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.7562777996063232},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6867628693580627},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6824503540992737},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6563687920570374},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.6459698677062988},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.6149566769599915},{"id":"https://openalex.org/keywords/machine-translation","display_name":"Machine translation","score":0.5417443513870239},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.5331945419311523},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.45650821924209595},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.4424656927585602},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.22556167840957642},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08027765154838562}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.846748948097229},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.7562777996063232},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6867628693580627},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6824503540992737},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6563687920570374},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.6459698677062988},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.6149566769599915},{"id":"https://openalex.org/C203005215","wikidata":"https://www.wikidata.org/wiki/Q79798","display_name":"Machine translation","level":2,"score":0.5417443513870239},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.5331945419311523},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.45650821924209595},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.4424656927585602},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.22556167840957642},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08027765154838562},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3314939","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3314939","pdf_url":null,"source":{"id":"https://openalex.org/S4306421405","display_name":"ACM Transactions on Asian and Low-Resource Language Information Processing","issn_l":"2375-4699","issn":["2375-4699","2375-4702"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Asian and Low-Resource Language Information Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.8700000047683716,"display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G7429968077","display_name":null,"funder_award_id":"61751201 and 61532011","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8740089330","display_name":null,"funder_award_id":"16JC1420401 and 17JC1420200","funder_id":"https://openalex.org/F4320321885","funder_display_name":"Science and Technology Commission of Shanghai Municipality"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321885","display_name":"Science and Technology Commission of Shanghai Municipality","ror":"https://ror.org/03kt66j61"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W25883864","https://openalex.org/W1628475528","https://openalex.org/W2006710607","https://openalex.org/W2036001619","https://openalex.org/W2096979215","https://openalex.org/W2102258316","https://openalex.org/W2111742432","https://openalex.org/W2112999531","https://openalex.org/W2126170172","https://openalex.org/W2133564696","https://openalex.org/W2148833958","https://openalex.org/W2163274265","https://openalex.org/W2250564385","https://openalex.org/W2250769864","https://openalex.org/W2251349042","https://openalex.org/W2252202991","https://openalex.org/W2304113845","https://openalex.org/W2510828927","https://openalex.org/W2513499049","https://openalex.org/W2546950329","https://openalex.org/W2561975193","https://openalex.org/W2587586352","https://openalex.org/W2606974598","https://openalex.org/W2609482285","https://openalex.org/W2618735189","https://openalex.org/W2739503347","https://openalex.org/W2739642399","https://openalex.org/W2757276219","https://openalex.org/W2757361303","https://openalex.org/W2759098637","https://openalex.org/W2886362482","https://openalex.org/W2899575547","https://openalex.org/W2911640577","https://openalex.org/W2949888546","https://openalex.org/W2951278025","https://openalex.org/W2962800603","https://openalex.org/W2963260202","https://openalex.org/W2963319870","https://openalex.org/W2963794306","https://openalex.org/W2963847417","https://openalex.org/W2964271186","https://openalex.org/W3102307539","https://openalex.org/W3104040280","https://openalex.org/W4206070039"],"related_works":["https://openalex.org/W3011059803","https://openalex.org/W4390516098","https://openalex.org/W579810227","https://openalex.org/W2181948922","https://openalex.org/W2142145894","https://openalex.org/W2952780262","https://openalex.org/W2375873920","https://openalex.org/W2979495269","https://openalex.org/W2384362569","https://openalex.org/W3151736118"],"abstract_inverted_index":{"In":[0],"this":[1],"article,":[2],"we":[3,45,60,91],"study":[4],"the":[5,28,37,49,58,62,71,88,100,120],"problem":[6,11,68],"of":[7,27,51],"parsing":[8,33,42],"a":[9,65,75,80,93],"math":[10,24,43],"into":[12,54],"logical":[13],"forms.":[14],"It":[15],"is":[16],"an":[17],"essential":[18],"pre-processing":[19],"step":[20],"for":[21,41],"automatically":[22],"solving":[23],"problems.":[25],"Most":[26],"existing":[29],"studies":[30],"about":[31],"semantic":[32],"mainly":[34],"focused":[35],"on":[36],"single-sentence":[38],"level.":[39],"However,":[40],"problems,":[44],"need":[46],"to":[47],"take":[48],"information":[50],"multiple":[52],"sentences":[53],"consideration.":[55],"To":[56],"achieve":[57,116],"task,":[59],"formulate":[61],"task":[63],"as":[64],"machine":[66],"translation":[67],"and":[69,79,86,104],"extend":[70],"sequence-to-sequence":[72],"model":[73],"with":[74],"novel":[76],"two-encoder":[77,102],"architecture":[78,103],"word-level":[81,105],"selective":[82,106],"mechanism.":[83],"For":[84],"training":[85],"evaluating":[87],"proposed":[89,101,113],"method,":[90],"construct":[92],"large-scale":[94],"dataset.":[95],"Experimental":[96],"results":[97],"show":[98],"that":[99],"mechanism":[107],"could":[108],"bring":[109],"significant":[110],"improvement.":[111],"The":[112],"method":[114],"can":[115],"better":[117],"performance":[118],"than":[119],"state-of-the-art":[121],"methods.":[122]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}