{"id":"https://openalex.org/W3046591420","doi":"https://doi.org/10.1109/access.2020.3013237","title":"Learning a Planning Domain Model From Natural Language Process Manuals","display_name":"Learning a Planning Domain Model From Natural Language Process Manuals","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3046591420","doi":"https://doi.org/10.1109/access.2020.3013237","mag":"3046591420"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.3013237","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3013237","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2020.3013237","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048933566","display_name":"Yongfeng Huo","orcid":"https://orcid.org/0000-0002-2137-9131"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongfeng Huo","raw_affiliation_strings":["Department of Automation, Xiamen University, Xiamen, China","Xiamen Key Laboratory of Big Data Intelligent Analysis and Decision-Making, Xiamen, China"],"raw_orcid":"https://orcid.org/0000-0002-2137-9131","affiliations":[{"raw_affiliation_string":"Department of Automation, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"Xiamen Key Laboratory of Big Data Intelligent Analysis and Decision-Making, Xiamen, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077270486","display_name":"Jing Tang","orcid":"https://orcid.org/0000-0002-0785-707X"},"institutions":[{"id":"https://openalex.org/I32394136","display_name":"Northumbria University","ror":"https://ror.org/049e6bc10","country_code":"GB","type":"education","lineage":["https://openalex.org/I32394136"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jing Tang","raw_affiliation_strings":["Newcastle Business School, Northumbria University, Newcastle upon Tyne, U.K"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Newcastle Business School, Northumbria University, Newcastle upon Tyne, U.K","institution_ids":["https://openalex.org/I32394136"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085263461","display_name":"Yinghui Pan","orcid":"https://orcid.org/0000-0001-5715-2855"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yinghui Pan","raw_affiliation_strings":["College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100653058","display_name":"Yifeng Zeng","orcid":"https://orcid.org/0000-0002-5246-403X"},"institutions":[{"id":"https://openalex.org/I32394136","display_name":"Northumbria University","ror":"https://ror.org/049e6bc10","country_code":"GB","type":"education","lineage":["https://openalex.org/I32394136"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yifeng Zeng","raw_affiliation_strings":["Department of Computer and Information Sciences, Northumbria University, Newcastle upon Tyne, U.K"],"raw_orcid":"https://orcid.org/0000-0002-5246-403X","affiliations":[{"raw_affiliation_string":"Department of Computer and Information Sciences, Northumbria University, Newcastle upon Tyne, U.K","institution_ids":["https://openalex.org/I32394136"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101936719","display_name":"Langcai Cao","orcid":"https://orcid.org/0000-0001-6388-1413"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Langcai Cao","raw_affiliation_strings":["Department of Automation, Xiamen University, Xiamen, China","Xiamen Key Laboratory of Big Data Intelligent Analysis and Decision-Making, Xiamen, China"],"raw_orcid":"https://orcid.org/0000-0001-6388-1413","affiliations":[{"raw_affiliation_string":"Department of Automation, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"Xiamen Key Laboratory of Big Data Intelligent Analysis and Decision-Making, Xiamen, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.2708,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.64154315,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":"8","issue":null,"first_page":"143219","last_page":"143232"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9941999912261963,"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":0.9941999912261963,"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/T10456","display_name":"Multi-Agent Systems and Negotiation","score":0.983299970626831,"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/T10906","display_name":"AI-based Problem Solving and Planning","score":0.9527999758720398,"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":0.8365161418914795},{"id":"https://openalex.org/keywords/contingency-plan","display_name":"Contingency plan","score":0.6262975931167603},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5572472810745239},{"id":"https://openalex.org/keywords/domain-model","display_name":"Domain model","score":0.5469009876251221},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5434785485267639},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5162951350212097},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.5030023455619812},{"id":"https://openalex.org/keywords/plan","display_name":"Plan (archaeology)","score":0.4959312379360199},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4655837118625641},{"id":"https://openalex.org/keywords/natural-language-generation","display_name":"Natural language generation","score":0.4548048675060272},{"id":"https://openalex.org/keywords/natural-language-understanding","display_name":"Natural language understanding","score":0.44993850588798523},{"id":"https://openalex.org/keywords/emergency-management","display_name":"Emergency management","score":0.4227801561355591},{"id":"https://openalex.org/keywords/automated-planning-and-scheduling","display_name":"Automated planning and scheduling","score":0.4153982996940613},{"id":"https://openalex.org/keywords/domain-knowledge","display_name":"Domain knowledge","score":0.3771519064903259},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.14827418327331543}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8365161418914795},{"id":"https://openalex.org/C14331377","wikidata":"https://www.wikidata.org/wiki/Q2340208","display_name":"Contingency plan","level":2,"score":0.6262975931167603},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5572472810745239},{"id":"https://openalex.org/C92548554","wikidata":"https://www.wikidata.org/wiki/Q2262868","display_name":"Domain model","level":3,"score":0.5469009876251221},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5434785485267639},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5162951350212097},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.5030023455619812},{"id":"https://openalex.org/C2776505523","wikidata":"https://www.wikidata.org/wiki/Q4785468","display_name":"Plan (archaeology)","level":2,"score":0.4959312379360199},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4655837118625641},{"id":"https://openalex.org/C2776187449","wikidata":"https://www.wikidata.org/wiki/Q1513879","display_name":"Natural language generation","level":3,"score":0.4548048675060272},{"id":"https://openalex.org/C2779439875","wikidata":"https://www.wikidata.org/wiki/Q1078276","display_name":"Natural language understanding","level":3,"score":0.44993850588798523},{"id":"https://openalex.org/C62555980","wikidata":"https://www.wikidata.org/wiki/Q1460420","display_name":"Emergency management","level":2,"score":0.4227801561355591},{"id":"https://openalex.org/C114073186","wikidata":"https://www.wikidata.org/wiki/Q2631895","display_name":"Automated planning and scheduling","level":2,"score":0.4153982996940613},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.3771519064903259},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.14827418327331543},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/access.2020.3013237","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3013237","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:nrl.northumbria.ac.uk:43943","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306401884","display_name":"Northumbria Research Link (Northumbria University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I32394136","host_organization_name":"Northumbria University","host_organization_lineage":["https://openalex.org/I32394136"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Article"},{"id":"pmh:oai:doaj.org/article:b833b41ea0864a51a059510d470f1193","is_oa":true,"landing_page_url":"https://doaj.org/article/b833b41ea0864a51a059510d470f1193","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 143219-143232 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.3013237","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3013237","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.7699999809265137,"display_name":"Climate action","id":"https://metadata.un.org/sdg/13"}],"awards":[{"id":"https://openalex.org/G5010047309","display_name":null,"funder_award_id":"61806089","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5101471005","display_name":null,"funder_award_id":"11671335","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7097245526","display_name":"\u7c7b\u4eba\u4efb\u52a1\u89c4\u5212\u3001\u63a8\u7406\u53ca\u5176\u9a8c\u8bc1\u7cfb\u7edf\u7684\u7814\u7a76\u548c\u5e94\u7528","funder_award_id":"61836005","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7833536237","display_name":"\u57fa\u4e8e\u503c\u7b49\u4ef7\u7684\u4ea4\u4e92\u5f0f\u52a8\u6001\u5f71\u54cd\u56fe\u7684\u6c42\u89e3\u65b9\u6cd5\u7814\u7a76\u4e0e\u5e94\u7528","funder_award_id":"61772442","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8558553778","display_name":"\u57fa\u4e8e\u6570\u636e\u9a71\u52a8\u7684\u591a\u667a\u80fd\u4f53\u4ea4\u4e92\u5f0f\u52a8\u6001\u5f71\u54cd\u56fe\u7b97\u6cd5\u7814\u7a76\u4e0e\u5e94\u7528","funder_award_id":"61562033","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":68,"referenced_works":["https://openalex.org/W25648700","https://openalex.org/W27430671","https://openalex.org/W75307006","https://openalex.org/W1489183362","https://openalex.org/W1530488533","https://openalex.org/W1602500555","https://openalex.org/W1933065844","https://openalex.org/W2030960331","https://openalex.org/W2119709400","https://openalex.org/W2122223050","https://openalex.org/W2128116572","https://openalex.org/W2129229483","https://openalex.org/W2129629813","https://openalex.org/W2138455848","https://openalex.org/W2155882778","https://openalex.org/W2160581145","https://openalex.org/W2184745372","https://openalex.org/W2250680464","https://openalex.org/W2319569133","https://openalex.org/W2337392266","https://openalex.org/W2526133295","https://openalex.org/W2581044847","https://openalex.org/W2611352412","https://openalex.org/W2613410561","https://openalex.org/W2736112408","https://openalex.org/W2754432020","https://openalex.org/W2893889064","https://openalex.org/W2896457183","https://openalex.org/W2898595518","https://openalex.org/W2919959512","https://openalex.org/W2926896828","https://openalex.org/W2944356341","https://openalex.org/W2962739339","https://openalex.org/W2963283081","https://openalex.org/W2963341956","https://openalex.org/W2964004050","https://openalex.org/W2965221807","https://openalex.org/W2966095140","https://openalex.org/W2968071222","https://openalex.org/W2969438178","https://openalex.org/W2976344064","https://openalex.org/W2990122567","https://openalex.org/W2998120674","https://openalex.org/W3013991297","https://openalex.org/W3028829890","https://openalex.org/W3111885891","https://openalex.org/W6601059465","https://openalex.org/W6601100617","https://openalex.org/W6603130932","https://openalex.org/W6632007830","https://openalex.org/W6636408305","https://openalex.org/W6640296258","https://openalex.org/W6679280698","https://openalex.org/W6680354378","https://openalex.org/W6682978940","https://openalex.org/W6683421510","https://openalex.org/W6686074120","https://openalex.org/W6691222063","https://openalex.org/W6727659191","https://openalex.org/W6737138399","https://openalex.org/W6737593303","https://openalex.org/W6737686708","https://openalex.org/W6755207826","https://openalex.org/W6760786290","https://openalex.org/W6766406986","https://openalex.org/W6767356712","https://openalex.org/W6772159032","https://openalex.org/W6777625702"],"related_works":["https://openalex.org/W3034800807","https://openalex.org/W3035130722","https://openalex.org/W4287758468","https://openalex.org/W4310731959","https://openalex.org/W3102948683","https://openalex.org/W2386843486","https://openalex.org/W3092480528","https://openalex.org/W2587329402","https://openalex.org/W3034917899","https://openalex.org/W2613410561"],"abstract_inverted_index":{"Artificial":[0],"intelligence":[1],"planning":[2,18,22,57,74,94,101,139,142],"techniques":[3,183],"have":[4],"been":[5],"widely":[6],"used":[7],"in":[8,47,85,131,147,223,285],"many":[9],"applications.":[10,49],"A":[11,73],"big":[12],"challenge":[13],"is":[14,76,234],"to":[15,77,98,184,202,225,235,252],"automate":[16,99],"a":[17,40,82,86,137,155,163,172,186,204,210],"model,":[19,95,140],"especially":[20],"for":[21,59,162,170],"applications":[23,286],"based":[24],"on":[25,272],"natural":[26,60,69],"language":[27,70,145],"(NL)":[28],"input.":[29],"This":[30],"requires":[31],"the":[32,93,100,119,124,132,148,219,227,244,255,261,265],"analysis":[33],"and":[34,39,197,217,250,268,290,294],"understanding":[35],"of":[36,90,127,158,165,175,189,191,213,221,239,264,287],"NL":[37,110,178,192,240],"text":[38],"general":[41],"learning":[42,115,171],"technique":[43,58],"does":[44],"not":[45],"exist":[46],"real-world":[48,273],"In":[50,276],"this":[51],"article,":[52],"we":[53,96,278],"investigate":[54],"an":[55],"intelligent":[56],"disaster":[61,83,106],"management,":[62],"e.g.":[63],"typhoon":[64,133,149,274],"contingency":[65,150],"plan":[66,151],"generation,":[67,289],"through":[68,109],"process":[71,126],"manuals.":[72],"model":[75,102,174],"optimise":[78],"management":[79],"operations":[80],"when":[81],"occurs":[84],"short":[87],"time.":[88],"Instead":[89],"manually":[91],"building":[92],"aim":[97],"generation":[103],"by":[104],"extracting":[105],"management-related":[107],"content":[108],"processing":[111],"(NLP)":[112],"techniques.":[113],"The":[114,231],"input":[116],"comes":[117],"from":[118,177,194],"published":[120],"documents":[121],"that":[122,243],"describe":[123],"operational":[125],"preventing":[128],"potential":[129],"loss":[130],"management.":[134],"We":[135,153,180,207,259],"adopt":[136],"classical":[138],"namely":[141],"domain":[143,173,205,229,257],"definition":[144],"(PDDL),":[146],"generation.":[152],"propose":[154],"novel":[156],"framework":[157],"FPTCP,":[159],"which":[160,195],"stands":[161],"Framework":[164],"Planning":[166],"Typhoon":[167],"Contingency":[168],"Plan,":[169],"PDDL":[176,256],"text.":[179],"adapt":[181],"NLP":[182],"construct":[185],"ternary":[187],"template":[188],"sentences":[190],"inputs":[193],"actions":[196,249],"their":[198],"objects":[199,241],"are":[200],"extracted":[201],"build":[203],"model.":[206,258],"also":[208],"develop":[209],"comprehensive":[211],"suite":[212],"user":[214,232],"interaction":[215,233],"components":[216],"facilitate":[218],"involvement":[220],"users":[222,245],"order":[224],"improve":[226],"learned":[228],"models.":[230],"remove":[236],"semantic":[237],"duplicates":[238],"such":[242],"can":[246],"select":[247],"model-generated":[248],"predicates":[251],"better":[253],"fit":[254],"detail":[260],"implementation":[262],"steps":[263],"proposed":[266],"FPTCP":[267,280],"evaluate":[269],"its":[270,292],"performance":[271],"datasets.":[275],"addition,":[277],"compare":[279],"with":[281],"two":[282],"state-of-the-art":[283],"approaches":[284],"narrative":[288],"discuss":[291],"capability":[293],"limitations.":[295]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
