{"id":"https://openalex.org/W4206976470","doi":"https://doi.org/10.1109/tale52509.2021.9678767","title":"Entity-Dependency Graph Enforced Quantity Relation Extraction for Solving Arithmetic Word Problems","display_name":"Entity-Dependency Graph Enforced Quantity Relation Extraction for Solving Arithmetic Word Problems","publication_year":2021,"publication_date":"2021-12-05","ids":{"openalex":"https://openalex.org/W4206976470","doi":"https://doi.org/10.1109/tale52509.2021.9678767"},"language":"en","primary_location":{"id":"doi:10.1109/tale52509.2021.9678767","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tale52509.2021.9678767","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Engineering, Technology & Education (TALE)","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/A5026532729","display_name":"Zhejin Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhejin Zhang","raw_affiliation_strings":["Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, China","institution_ids":["https://openalex.org/I40963666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101946076","display_name":"Bin He","orcid":"https://orcid.org/0000-0003-2088-8193"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin He","raw_affiliation_strings":["Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, China","institution_ids":["https://openalex.org/I40963666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078359928","display_name":"Meng Hao","orcid":"https://orcid.org/0000-0002-1545-1926"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Meng","raw_affiliation_strings":["Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, China","institution_ids":["https://openalex.org/I40963666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100448465","display_name":"Rui Liu","orcid":"https://orcid.org/0000-0002-3606-0553"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Liu","raw_affiliation_strings":["Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, China","institution_ids":["https://openalex.org/I40963666"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060129397","display_name":"Chao Sun","orcid":"https://orcid.org/0000-0002-8778-0665"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Sun","raw_affiliation_strings":["Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, China","institution_ids":["https://openalex.org/I40963666"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5026532729"],"corresponding_institution_ids":["https://openalex.org/I40963666"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.20598926,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"573","last_page":"579"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9979000091552734,"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":0.9979000091552734,"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":0.9972000122070312,"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":0.9853000044822693,"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/interpretability","display_name":"Interpretability","score":0.8421624898910522},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7298181056976318},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.7177108526229858},{"id":"https://openalex.org/keywords/relationship-extraction","display_name":"Relationship extraction","score":0.6241704821586609},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.5563772320747375},{"id":"https://openalex.org/keywords/dependency-graph","display_name":"Dependency graph","score":0.5308443307876587},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5291657447814941},{"id":"https://openalex.org/keywords/syntax","display_name":"Syntax","score":0.5080006718635559},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4974651634693146},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4658283591270447},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.4454202353954315},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.43639451265335083},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.3236144781112671},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.24119484424591064},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22251710295677185}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.8421624898910522},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7298181056976318},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.7177108526229858},{"id":"https://openalex.org/C153604712","wikidata":"https://www.wikidata.org/wiki/Q7310755","display_name":"Relationship extraction","level":3,"score":0.6241704821586609},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.5563772320747375},{"id":"https://openalex.org/C16311509","wikidata":"https://www.wikidata.org/wiki/Q4148050","display_name":"Dependency graph","level":3,"score":0.5308443307876587},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5291657447814941},{"id":"https://openalex.org/C60048249","wikidata":"https://www.wikidata.org/wiki/Q37437","display_name":"Syntax","level":2,"score":0.5080006718635559},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4974651634693146},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4658283591270447},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.4454202353954315},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.43639451265335083},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.3236144781112671},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.24119484424591064},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22251710295677185},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tale52509.2021.9678767","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tale52509.2021.9678767","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Engineering, Technology & Education (TALE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7256147019","display_name":null,"funder_award_id":"61802142","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":26,"referenced_works":["https://openalex.org/W1506904803","https://openalex.org/W1539746312","https://openalex.org/W2003505241","https://openalex.org/W2072950331","https://openalex.org/W2105717194","https://openalex.org/W2161951443","https://openalex.org/W2251349042","https://openalex.org/W2251935656","https://openalex.org/W2276364082","https://openalex.org/W2312489845","https://openalex.org/W2572127022","https://openalex.org/W2757276219","https://openalex.org/W2786796157","https://openalex.org/W2788411903","https://openalex.org/W2898599002","https://openalex.org/W2962927633","https://openalex.org/W2962970011","https://openalex.org/W2963705839","https://openalex.org/W3115686121","https://openalex.org/W6683889614","https://openalex.org/W6691715656","https://openalex.org/W6730668873","https://openalex.org/W6731945446","https://openalex.org/W6747729229","https://openalex.org/W6748842453","https://openalex.org/W6755702034"],"related_works":["https://openalex.org/W2327631927","https://openalex.org/W2093568763","https://openalex.org/W1985166372","https://openalex.org/W2003096546","https://openalex.org/W842810586","https://openalex.org/W2430210575","https://openalex.org/W4319940250","https://openalex.org/W2352298027","https://openalex.org/W2092919065","https://openalex.org/W3138801416"],"abstract_inverted_index":{"An":[0,31],"entity-dependency":[1],"graph":[2],"(EDG)":[3],"is":[4,39],"proposed":[5,34],"to":[6,35,41,56,85],"efficiently":[7],"represent":[8],"mathematical":[9],"and":[10,27],"non-mathematical":[11],"relations":[12],"of":[13,19,72,89],"arithmetic":[14,49],"word":[15,50],"problems.":[16,51],"The":[17,52,79],"EDG":[18,37,80],"a":[20],"problem":[21,91],"contains":[22],"nodes":[23],"representing":[24,29],"noun":[25],"entities":[26],"links":[28],"entity-dependencies.":[30],"algorithm":[32],"was":[33],"generate":[36],"which":[38],"used":[40,55,84],"identify":[42],"entity":[43],"associated":[44],"with":[45],"quantity":[46,58,73],"relation":[47,74],"in":[48],"results":[53],"are":[54],"extract":[57],"relations.":[59],"Through":[60],"the":[61,70,87,90],"experiments,":[62],"we":[63],"demonstrate":[64],"that":[65],"this":[66],"method":[67],"can":[68,81],"improve":[69,86],"efficiency":[71],"extraction":[75],"by":[76],"syntax-semantic":[77],"method.":[78],"also":[82],"be":[83],"interpretability":[88],"solving.":[92]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}