{"id":"https://openalex.org/W4391308042","doi":"https://doi.org/10.1109/smc53992.2023.10394538","title":"Discovering Reliable Information Extraction Patterns with Pre-Trained Model for Text with Writing Style","display_name":"Discovering Reliable Information Extraction Patterns with Pre-Trained Model for Text with Writing Style","publication_year":2023,"publication_date":"2023-10-01","ids":{"openalex":"https://openalex.org/W4391308042","doi":"https://doi.org/10.1109/smc53992.2023.10394538"},"language":"en","primary_location":{"id":"doi:10.1109/smc53992.2023.10394538","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/smc53992.2023.10394538","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","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/A5062592193","display_name":"Chenyang Bu","orcid":"https://orcid.org/0000-0001-8203-0956"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenyang Bu","raw_affiliation_strings":["School of Computer Science and Information Engineering, Hefei University of Technology,Ministry of Education Key Laboratory of Knowledge Engineering with Big Data,Hefei,Anhui,China,230027"],"raw_orcid":"https://orcid.org/0000-0001-8203-0956","affiliations":[{"raw_affiliation_string":"School of Computer Science and Information Engineering, Hefei University of Technology,Ministry of Education Key Laboratory of Knowledge Engineering with Big Data,Hefei,Anhui,China,230027","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114734470","display_name":"Jiacheng Liu","orcid":"https://orcid.org/0000-0003-0846-9148"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiacheng Liu","raw_affiliation_strings":["School of Computer Science and Information Engineering, Hefei University of Technology,Ministry of Education Key Laboratory of Knowledge Engineering with Big Data,Hefei,Anhui,China,230027"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Information Engineering, Hefei University of Technology,Ministry of Education Key Laboratory of Knowledge Engineering with Big Data,Hefei,Anhui,China,230027","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032098058","display_name":"Jiaxuan Liu","orcid":"https://orcid.org/0009-0000-4432-2675"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaxuan Liu","raw_affiliation_strings":["School of Computer Science and Information Engineering, Hefei University of Technology,Ministry of Education Key Laboratory of Knowledge Engineering with Big Data,Hefei,Anhui,China,230027"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Information Engineering, Hefei University of Technology,Ministry of Education Key Laboratory of Knowledge Engineering with Big Data,Hefei,Anhui,China,230027","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039946566","display_name":"Shengwei Ji","orcid":"https://orcid.org/0000-0003-4942-9767"},"institutions":[{"id":"https://openalex.org/I39774598","display_name":"Hefei University","ror":"https://ror.org/01f5rdf64","country_code":"CN","type":"education","lineage":["https://openalex.org/I39774598"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengwei Ji","raw_affiliation_strings":["School of Artificial Intelligence and Big Data, Hefei University,China","School of Artificial Intelligence and Big Data, Hefei University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Big Data, Hefei University,China","institution_ids":["https://openalex.org/I39774598"]},{"raw_affiliation_string":"School of Artificial Intelligence and Big Data, Hefei University, China","institution_ids":["https://openalex.org/I39774598"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101226111","display_name":"Hongbin Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongbin Yang","raw_affiliation_strings":["School of Computer Science and Information Engineering, Hefei University of Technology,Ministry of Education Key Laboratory of Knowledge Engineering with Big Data,Hefei,Anhui,China,230027"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Information Engineering, Hefei University of Technology,Ministry of Education Key Laboratory of Knowledge Engineering with Big Data,Hefei,Anhui,China,230027","institution_ids":["https://openalex.org/I16365422"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"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":0.19562869,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"912","issue":null,"first_page":"1690","last_page":"1695"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9991999864578247,"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":0.9991999864578247,"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":0.9961000084877014,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9891999959945679,"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":0.9225336313247681},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8253296613693237},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.5582188367843628},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5576491355895996},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.5489122271537781},{"id":"https://openalex.org/keywords/limiting","display_name":"Limiting","score":0.5234465003013611},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5205429792404175},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.47965267300605774},{"id":"https://openalex.org/keywords/style","display_name":"Style (visual arts)","score":0.43200817704200745},{"id":"https://openalex.org/keywords/writing-style","display_name":"Writing style","score":0.4286138415336609},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4216423034667969},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40267080068588257},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4022403359413147}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.9225336313247681},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8253296613693237},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.5582188367843628},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5576491355895996},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.5489122271537781},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.5234465003013611},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5205429792404175},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47965267300605774},{"id":"https://openalex.org/C2776445246","wikidata":"https://www.wikidata.org/wiki/Q1792644","display_name":"Style (visual arts)","level":2,"score":0.43200817704200745},{"id":"https://openalex.org/C13622073","wikidata":"https://www.wikidata.org/wiki/Q2243831","display_name":"Writing style","level":2,"score":0.4286138415336609},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4216423034667969},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40267080068588257},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4022403359413147},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"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/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smc53992.2023.10394538","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/smc53992.2023.10394538","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.8700000047683716}],"awards":[{"id":"https://openalex.org/G2118819102","display_name":null,"funder_award_id":"JZ2022HGTB0239","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G4611500439","display_name":null,"funder_award_id":"61806065","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"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1969684232","https://openalex.org/W2002561318","https://openalex.org/W2029045682","https://openalex.org/W2037524964","https://openalex.org/W2399909003","https://openalex.org/W2475457858","https://openalex.org/W2528039253","https://openalex.org/W2785631370","https://openalex.org/W2894170875","https://openalex.org/W2913964174","https://openalex.org/W2963625095","https://openalex.org/W2964167098","https://openalex.org/W3035229828","https://openalex.org/W3157022402","https://openalex.org/W3214024980","https://openalex.org/W4226278401","https://openalex.org/W4292779060","https://openalex.org/W4380434506","https://openalex.org/W4385567257","https://openalex.org/W6712432643","https://openalex.org/W6778883912","https://openalex.org/W6810738896"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W2888392564","https://openalex.org/W4310278675","https://openalex.org/W4388422664","https://openalex.org/W4390569940","https://openalex.org/W4361193272","https://openalex.org/W2963326959","https://openalex.org/W4388685194","https://openalex.org/W4312407344","https://openalex.org/W2894289927"],"abstract_inverted_index":{"Large-scale":[0],"pre-trained":[1],"models":[2,145],"such":[3],"as":[4],"GPT":[5,81],"and":[6,24,82,107,121],"BERT":[7],"have":[8,32],"demonstrated":[9],"remarkable":[10],"performance":[11],"in":[12,91,111,152],"information":[13,105,148],"extraction":[14,30,58,89,149],"tasks.":[15],"However,":[16],"their":[17,45],"black-box":[18],"nature":[19],"poses":[20],"challenges":[21],"for":[22,55,146],"reliability":[23],"interpretability.":[25],"In":[26,48,72],"contrast,":[27],"rule-":[28],"based":[29],"methods":[31,84],"better":[33],"interpretability,":[34],"but":[35],"typically":[36],"require":[37],"domain":[38],"experts":[39],"to":[40,59,85,118,135],"manually":[41],"establish":[42],"rules,":[43],"limiting":[44],"generalization":[46],"ability.":[47],"industry,":[49],"there":[50],"is":[51],"often":[52],"a":[53,94,114,131],"demand":[54],"reliable":[56,88,122,147],"knowledge":[57],"reduce":[60],"the":[61,77,101,140,153],"time":[62],"spent":[63],"on":[64,127],"manual":[65],"verification":[66],"of":[67,70,79,103,142],"each":[68],"piece":[69],"knowledge.":[71],"this":[73],"paper,":[74],"we":[75],"explore":[76],"idea":[78,141],"combining":[80,143],"symbolic-based":[83],"automatically":[86],"discover":[87],"patterns":[90,110],"text":[92,112],"with":[93,113,130],"particular":[95],"writing":[96,109,116,133],"style.":[97],"This":[98],"method":[99],"leverages":[100],"characteristics":[102],"high":[104],"density":[106],"similar":[108],"specific":[115,132],"style":[117,134],"generate":[119],"verifiable":[120],"patterns.":[123],"We":[124],"conduct":[125],"experiments":[126],"two":[128],"datasets":[129],"demonstrate":[136],"its":[137],"effectiveness,":[138],"validating":[139],"large":[144],"pattern":[150],"discovery":[151],"tested":[154],"datasets.":[155]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}