{"id":"https://openalex.org/W2978606949","doi":"https://doi.org/10.1109/ijcnn.2019.8852052","title":"A TOI based CNN with Location Regression for Insurance Contract Analysis","display_name":"A TOI based CNN with Location Regression for Insurance Contract Analysis","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2978606949","doi":"https://doi.org/10.1109/ijcnn.2019.8852052","mag":"2978606949"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2019.8852052","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2019.8852052","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Joint Conference on Neural Networks (IJCNN)","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/A5100324056","display_name":"Kai Zhang","orcid":"https://orcid.org/0000-0003-3850-5429"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Kai Zhang","raw_affiliation_strings":["Dept. of Computer Science, Zhejiang University City College, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science, Zhejiang University City College, Hangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070657531","display_name":"Lin Sun","orcid":"https://orcid.org/0000-0003-2923-3281"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lin Sun","raw_affiliation_strings":["Dept. of Computer Science, Zhejiang University City College, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science, Zhejiang University City College, Hangzhou, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063525691","display_name":"Fule Ji","orcid":"https://orcid.org/0000-0001-5354-4552"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fule Ji","raw_affiliation_strings":["Dept. of Computer Science, Zhejiang University City College, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science, Zhejiang University City College, Hangzhou, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100324056"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1447,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.58719372,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9980000257492065,"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":0.9980000257492065,"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/T13643","display_name":"Artificial Intelligence in Law","score":0.9761000275611877,"subfield":{"id":"https://openalex.org/subfields/3320","display_name":"Political Science and International Relations"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9692999720573425,"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/pooling","display_name":"Pooling","score":0.8505609035491943},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8220361471176147},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6245786547660828},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.6239677667617798},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5258116126060486},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5245921015739441},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.523551881313324},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.46161067485809326},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.44243016839027405},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.4361411929130554},{"id":"https://openalex.org/keywords/crfs","display_name":"CRFS","score":0.4312096834182739},{"id":"https://openalex.org/keywords/element","display_name":"Element (criminal law)","score":0.4180571138858795},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.34359851479530334},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3421090543270111},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.325629860162735},{"id":"https://openalex.org/keywords/conditional-random-field","display_name":"Conditional random field","score":0.20536965131759644},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.20398536324501038},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0830278992652893}],"concepts":[{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.8505609035491943},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8220361471176147},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6245786547660828},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.6239677667617798},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5258116126060486},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5245921015739441},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.523551881313324},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.46161067485809326},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.44243016839027405},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.4361411929130554},{"id":"https://openalex.org/C2775953691","wikidata":"https://www.wikidata.org/wiki/Q5013874","display_name":"CRFS","level":3,"score":0.4312096834182739},{"id":"https://openalex.org/C200288055","wikidata":"https://www.wikidata.org/wiki/Q2621792","display_name":"Element (criminal law)","level":2,"score":0.4180571138858795},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.34359851479530334},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3421090543270111},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.325629860162735},{"id":"https://openalex.org/C152565575","wikidata":"https://www.wikidata.org/wiki/Q1124538","display_name":"Conditional random field","level":2,"score":0.20536965131759644},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.20398536324501038},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0830278992652893},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2019.8852052","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2019.8852052","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1592463163","https://openalex.org/W1614298861","https://openalex.org/W1832693441","https://openalex.org/W2014243748","https://openalex.org/W2020278455","https://openalex.org/W2035711370","https://openalex.org/W2047477415","https://openalex.org/W2065840553","https://openalex.org/W2153848201","https://openalex.org/W2163107094","https://openalex.org/W2165723799","https://openalex.org/W2215206286","https://openalex.org/W2397771608","https://openalex.org/W2407338347","https://openalex.org/W2760146825","https://openalex.org/W2767609139","https://openalex.org/W2778931183","https://openalex.org/W2779545291","https://openalex.org/W2782912507","https://openalex.org/W2803609931","https://openalex.org/W2804221886","https://openalex.org/W2904328064","https://openalex.org/W2950577311","https://openalex.org/W2963568202","https://openalex.org/W2964121744","https://openalex.org/W3102603416","https://openalex.org/W6631190155","https://openalex.org/W6635515574","https://openalex.org/W6636510571","https://openalex.org/W6682707525","https://openalex.org/W6714112401","https://openalex.org/W6748206367","https://openalex.org/W6756992409"],"related_works":["https://openalex.org/W3022161193","https://openalex.org/W4295602020","https://openalex.org/W2800507189","https://openalex.org/W2361832341","https://openalex.org/W165283731","https://openalex.org/W2132346352","https://openalex.org/W2104929832","https://openalex.org/W2772211479","https://openalex.org/W2158188757","https://openalex.org/W2377581752"],"abstract_inverted_index":{"Contract":[0],"analysis":[1],"with":[2,123],"AI":[3],"techniques":[4],"can":[5,160],"significantly":[6],"ease":[7],"the":[8,34,50,67,79,95,106,114,124,143,146],"work":[9,161],"for":[10,33,48],"humans.":[11],"This":[12],"paper":[13],"shows":[14],"a":[15,26,39,99,118],"problem":[16],"of":[17,61,86,108,126,145,152],"Element":[18],"Tagging":[19],"on":[20],"Insurance":[21],"Policy":[22],"(ETIP).":[23],"We":[24,37],"present":[25],"novel":[27,119],"Text-Of-Interest":[28],"(TOI)":[29],"convolutional":[30],"neural":[31],"network":[32],"ETIP":[35],"solution.":[36],"introduce":[38],"TOI":[40,62,89],"pooling":[41,46,63,90],"layer":[42,47,64],"to":[43,104,141,156],"replace":[44],"traditional":[45],"processing":[49],"nested":[51,68,171],"phrasal":[52],"or":[53],"clausal":[54],"elements":[55,69,165],"in":[56,78,94,163],"insurance":[57,136,164],"policies.":[58],"The":[59,84],"advantage":[60],"is":[65,91,102,154],"that":[66],"from":[70],"one":[71],"sentence":[72],"could":[73],"share":[74],"computation":[75,85],"and":[76,81,128,167],"context":[77],"forward":[80],"backward":[82],"passes.":[83],"backpropagation":[87],"through":[88],"also":[92],"demonstrated":[93],"paper.":[96],"In":[97,113],"addition,":[98],"location":[100],"regressor":[101],"trained":[103],"improve":[105],"precision":[107],"element":[109],"localization,":[110],"called":[111,131],"TOI-CNN+LR.":[112],"detection,":[115],"we":[116],"devise":[117],"non-maximum":[120],"suppression":[121],"method":[122],"fusion":[125],"length":[127],"score":[129],"metrics,":[130],"LS-NMS.":[132],"A":[133],"large":[134],"Chinese":[135],"contract":[137],"dataset":[138],"was":[139],"collected":[140],"test":[142],"performance":[144],"proposed":[147],"method.":[148],"An":[149],"extensive":[150],"set":[151],"experiments":[153],"performed":[155],"investigate":[157],"how":[158],"TOI-CNN+LR":[159],"effectively":[162],"tagging":[166],"outperforms":[168],"other":[169],"state-of-the-art":[170],"NER":[172],"models.":[173]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}
