{"id":"https://openalex.org/W2901159806","doi":"https://doi.org/10.1109/ic3.2018.8530494","title":"A Novel Approach to Solve Set-Theory Word Problems Automatically","display_name":"A Novel Approach to Solve Set-Theory Word Problems Automatically","publication_year":2018,"publication_date":"2018-08-01","ids":{"openalex":"https://openalex.org/W2901159806","doi":"https://doi.org/10.1109/ic3.2018.8530494","mag":"2901159806"},"language":"en","primary_location":{"id":"doi:10.1109/ic3.2018.8530494","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ic3.2018.8530494","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Eleventh International Conference on Contemporary Computing (IC3)","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/A5101776429","display_name":"Arushi Gupta","orcid":null},"institutions":[{"id":"https://openalex.org/I4210162141","display_name":"Microsoft (India)","ror":"https://ror.org/04ww0w091","country_code":"IN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210162141"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Arushi Gupta","raw_affiliation_strings":["Microsoft India R&D Hyderabad, Telangana"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft India R&D Hyderabad, Telangana","institution_ids":["https://openalex.org/I4210162141"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023283936","display_name":"Medha Sagar","orcid":null},"institutions":[{"id":"https://openalex.org/I4210102658","display_name":"Sami Labs (India)","ror":"https://ror.org/01cryga93","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210102658"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Medha Sagar","raw_affiliation_strings":["SAP Labs India Pvt Ltd Bangalore, Karnataka"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SAP Labs India Pvt Ltd Bangalore, Karnataka","institution_ids":["https://openalex.org/I4210102658"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051458180","display_name":"Rishabh Kaushal","orcid":"https://orcid.org/0000-0002-9200-7802"},"institutions":[{"id":"https://openalex.org/I20791572","display_name":"Indira Gandhi Institute of Technology","ror":"https://ror.org/0010jkx06","country_code":"IN","type":"education","lineage":["https://openalex.org/I20791572"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Rishabh Kaushal","raw_affiliation_strings":["Department of Information Technology, Indira Gandhi Institute of Technology Kashmere Gate, Delhi"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Technology, Indira Gandhi Institute of Technology Kashmere Gate, Delhi","institution_ids":["https://openalex.org/I20791572"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13428598,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"111119","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9936000108718872,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9936000108718872,"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":0.984000027179718,"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":0.9799000024795532,"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":0.7198717594146729},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5861878991127014},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.579979658126831},{"id":"https://openalex.org/keywords/abstraction","display_name":"Abstraction","score":0.553254246711731},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.5258917212486267},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5099648237228394},{"id":"https://openalex.org/keywords/binary-relation","display_name":"Binary relation","score":0.5077015161514282},{"id":"https://openalex.org/keywords/word-problem","display_name":"Word problem (mathematics education)","score":0.46701058745384216},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.4595690071582794},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4408606290817261},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.424924373626709},{"id":"https://openalex.org/keywords/expression","display_name":"Expression (computer science)","score":0.41745492815971375},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.36607348918914795},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3542255759239197},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1974140703678131},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.10012051463127136}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7198717594146729},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5861878991127014},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.579979658126831},{"id":"https://openalex.org/C124304363","wikidata":"https://www.wikidata.org/wiki/Q673661","display_name":"Abstraction","level":2,"score":0.553254246711731},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.5258917212486267},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5099648237228394},{"id":"https://openalex.org/C65180967","wikidata":"https://www.wikidata.org/wiki/Q130901","display_name":"Binary relation","level":2,"score":0.5077015161514282},{"id":"https://openalex.org/C90988201","wikidata":"https://www.wikidata.org/wiki/Q255912","display_name":"Word problem (mathematics education)","level":2,"score":0.46701058745384216},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.4595690071582794},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4408606290817261},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.424924373626709},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.41745492815971375},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.36607348918914795},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3542255759239197},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1974140703678131},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.10012051463127136},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C145420912","wikidata":"https://www.wikidata.org/wiki/Q853077","display_name":"Mathematics education","level":1,"score":0.0},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ic3.2018.8530494","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ic3.2018.8530494","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Eleventh International Conference on Contemporary Computing (IC3)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.6299999952316284}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1647729745","https://openalex.org/W2014150911","https://openalex.org/W2017116194","https://openalex.org/W2077824186","https://openalex.org/W2105717194","https://openalex.org/W2109462874","https://openalex.org/W2122223050","https://openalex.org/W2167603077","https://openalex.org/W2170526645","https://openalex.org/W2175619924","https://openalex.org/W2251349042","https://openalex.org/W2329664754","https://openalex.org/W2978678359","https://openalex.org/W6676462645","https://openalex.org/W6685118640"],"related_works":["https://openalex.org/W2045155990","https://openalex.org/W4313163053","https://openalex.org/W3045811229","https://openalex.org/W4300973204","https://openalex.org/W1483408780","https://openalex.org/W4284884309","https://openalex.org/W2908749798","https://openalex.org/W2105980483","https://openalex.org/W4243842598","https://openalex.org/W1998132222"],"abstract_inverted_index":{"Mathematical":[0],"Word":[1],"Problems":[2],"(MWPs)":[3],"are":[4,51,56,124],"verbal":[5],"formulations":[6],"of":[7,22,33,42,62,76,78,108,120,145,239,284],"real-world":[8],"scenarios":[9],"representing":[10],"an":[11,223,282],"abstract":[12],"mathematical":[13],"idea.":[14],"They":[15,55],"aid":[16],"us":[17],"in":[18,24,53,73,213,222,289],"demonstrating":[19],"the":[20,40,45,60,68,71,74,106,109,139,143,146,151,183,190,210,227,230,236,240,245,254,260,267,275,290],"relevance":[21],"mathematics":[23,34],"extrapolating":[25],"everyday":[26],"tasks.":[27],"Set":[28],"Theory":[29],"is":[30,36,192,248,294,301],"a":[31,87,95,214,302],"field":[32],"that":[35,123,182,225,247],"used":[37,57],"to":[38,58,98,157,189,208,249,258],"discern":[39],"nature":[41],"sets":[43],"and":[44,82,133,137,170,179,194,217,252,286],"relations":[46],"between":[47,64],"them.":[48],"Set-theory":[49],"operations":[50],"binary":[52],"nature.":[54],"depict":[59],"type":[61],"association":[63],"two":[65,166,268],"sets.":[66],"In":[67,90,229,274],"current":[69],"scenario,":[70],"difference":[72],"levels":[75],"abstraction":[77],"deriving":[79],"regular":[80],"expressions":[81],"interpreting":[83],"natural":[84],"language":[85,144,206],"poses":[86],"challenging":[88],"task.":[89],"this":[91],"paper,":[92],"we":[93,234],"present":[94],"novel":[96],"approach":[97,164],"solve":[99,158],"set-theory":[100,114,159,256],"based":[101],"word":[102,215,241],"problems":[103],"automatically":[104],"using":[105,271],"semantics":[107,207],"language.":[110],"Our":[111,148,203],"system":[112,204,280],"analyzes":[113],"questions":[115],"obtained":[116],"from":[117,186],"various":[118],"sources":[119],"informal":[121],"text":[122],"crowd":[125],"sourced":[126],"such":[127],"as":[128],"online":[129],"forums,":[130],"social":[131],"media":[132],"competitive":[134],"examination":[135],"portals":[136],"computes":[138],"result":[140,238,265],"by":[141,243],"discerning":[142],"problem.":[147,228],"algorithm":[149],"mimics":[150],"paradigm":[152],"through":[153],"which":[154,296],"humans":[155],"attempt":[156],"MWPs.":[160],"We":[161,262],"discretized":[162],"our":[163,264,279],"into":[165],"sub-tasks,":[167],"information":[168,276],"extraction":[169,277],"problem":[171,231,242,291],"solving,":[172],"implementing":[173,253],"separate":[174],"evaluation":[175],"for":[176,196,266],"each":[177,197],"stage":[178,198],"subsequently":[180,218],"ensuring":[181],"error":[184],"propagation":[185],"one":[187],"phase":[188,293],"next":[191],"curbed":[193],"efficiency":[195],"can":[199],"be":[200,250],"individually":[201,270],"determined.":[202],"uses":[205],"identify":[209],"set":[211],"entities":[212,221],"problem,":[216],"maps":[219],"these":[220],"expression":[224],"embodies":[226],"solving":[232,292],"phase,":[233,278],"obtain":[235],"final":[237],"inferring":[244],"relation":[246],"determined":[251],"corresponding":[255],"function":[257],"compute":[259],"solution.":[261],"corroborated":[263],"phases":[269],"supervised":[272],"learning.":[273],"exhibited":[281],"accuracy":[283],"83.5%":[285],"its":[287],"performance":[288],"60%,":[295],"though":[297],"needs":[298],"improvement":[299],"but":[300],"good":[303],"beginning.":[304]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}