{"id":"https://openalex.org/W4410770179","doi":"https://doi.org/10.1109/access.2025.3574042","title":"TIER: Temporal Convolutional Network Information Extractor With Conditional Random Field","display_name":"TIER: Temporal Convolutional Network Information Extractor With Conditional Random Field","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4410770179","doi":"https://doi.org/10.1109/access.2025.3574042"},"language":"en","primary_location":{"id":"doi:10.1109/access.2025.3574042","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3574042","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.2025.3574042","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102676478","display_name":"Huiwen Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210128818","display_name":"Institute of Software","ror":"https://ror.org/033dfsn42","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128818"]},{"id":"https://openalex.org/I4403386539","display_name":"Software Engineering Institute of Guangzhou","ror":"https://ror.org/0549ke970","country_code":null,"type":"education","lineage":["https://openalex.org/I4403386539"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Huiwen Wu","raw_affiliation_strings":["Software Engineering Institute of Guangzhou, Guangzhou, China","Software Engineering Institute of Guangzhou, China"],"raw_orcid":"https://orcid.org/0009-0003-1245-3023","affiliations":[{"raw_affiliation_string":"Software Engineering Institute of Guangzhou, Guangzhou, China","institution_ids":["https://openalex.org/I4210128818","https://openalex.org/I4403386539"]},{"raw_affiliation_string":"Software Engineering Institute of Guangzhou, China","institution_ids":["https://openalex.org/I4403386539"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xiubo Zhang","orcid":"https://orcid.org/0009-0005-7244-6401"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]},{"id":"https://openalex.org/I6469544","display_name":"City University of Macau","ror":"https://ror.org/04gpd4q15","country_code":"MO","type":"education","lineage":["https://openalex.org/I6469544"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Xiubo Zhang","raw_affiliation_strings":["State Key Laboratory of Internet of Things for Smart City (SKL-IOTSC), University of Macau, Macau, China","State Key Laboratory of Internet of Things for Smart City (SKL-IOTSC), University of Macau, China"],"raw_orcid":"https://orcid.org/0009-0005-7244-6401","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Internet of Things for Smart City (SKL-IOTSC), University of Macau, Macau, China","institution_ids":["https://openalex.org/I6469544","https://openalex.org/I204512498"]},{"raw_affiliation_string":"State Key Laboratory of Internet of Things for Smart City (SKL-IOTSC), University of Macau, China","institution_ids":["https://openalex.org/I6469544","https://openalex.org/I204512498"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030166361","display_name":"Tengyuan Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I4210128818","display_name":"Institute of Software","ror":"https://ror.org/033dfsn42","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128818"]},{"id":"https://openalex.org/I4403386539","display_name":"Software Engineering Institute of Guangzhou","ror":"https://ror.org/0549ke970","country_code":null,"type":"education","lineage":["https://openalex.org/I4403386539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tengyuan Zhou","raw_affiliation_strings":["Software Engineering Institute of Guangzhou, Guangzhou, China","Software Engineering Institute of Guangzhou, China"],"raw_orcid":"https://orcid.org/0009-0001-3523-2077","affiliations":[{"raw_affiliation_string":"Software Engineering Institute of Guangzhou, Guangzhou, China","institution_ids":["https://openalex.org/I4210128818","https://openalex.org/I4403386539"]},{"raw_affiliation_string":"Software Engineering Institute of Guangzhou, China","institution_ids":["https://openalex.org/I4403386539"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101873316","display_name":"An Hu","orcid":"https://orcid.org/0009-0001-8068-9535"},"institutions":[{"id":"https://openalex.org/I4210128818","display_name":"Institute of Software","ror":"https://ror.org/033dfsn42","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128818"]},{"id":"https://openalex.org/I4403386539","display_name":"Software Engineering Institute of Guangzhou","ror":"https://ror.org/0549ke970","country_code":null,"type":"education","lineage":["https://openalex.org/I4403386539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"An Hu","raw_affiliation_strings":["Software Engineering Institute of Guangzhou, Guangzhou, China","Software Engineering Institute of Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Software Engineering Institute of Guangzhou, Guangzhou, China","institution_ids":["https://openalex.org/I4210128818","https://openalex.org/I4403386539"]},{"raw_affiliation_string":"Software Engineering Institute of Guangzhou, China","institution_ids":["https://openalex.org/I4403386539"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5102676478"],"corresponding_institution_ids":["https://openalex.org/I4210128818","https://openalex.org/I4403386539"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0509394,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":null,"first_page":"93892","last_page":"93902"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.8568000197410583,"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/T10320","display_name":"Neural Networks and Applications","score":0.8568000197410583,"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":0.7820647954940796},{"id":"https://openalex.org/keywords/conditional-random-field","display_name":"Conditional random field","score":0.7035345435142517},{"id":"https://openalex.org/keywords/extractor","display_name":"Extractor","score":0.4860013425350189},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.45079731941223145},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3075123429298401},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11581888794898987}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7820647954940796},{"id":"https://openalex.org/C152565575","wikidata":"https://www.wikidata.org/wiki/Q1124538","display_name":"Conditional random field","level":2,"score":0.7035345435142517},{"id":"https://openalex.org/C117978034","wikidata":"https://www.wikidata.org/wiki/Q5422192","display_name":"Extractor","level":2,"score":0.4860013425350189},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.45079731941223145},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3075123429298401},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11581888794898987},{"id":"https://openalex.org/C21880701","wikidata":"https://www.wikidata.org/wiki/Q2144042","display_name":"Process engineering","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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2025.3574042","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3574042","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:doaj.org/article:185de9b6100c4598ab4677906d2c14df","is_oa":true,"landing_page_url":"https://doaj.org/article/185de9b6100c4598ab4677906d2c14df","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 13, Pp 93892-93902 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3574042","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3574042","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":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1997131858","https://openalex.org/W2064675550","https://openalex.org/W2330149175","https://openalex.org/W2556849656","https://openalex.org/W2952402849","https://openalex.org/W2965373594","https://openalex.org/W2965690110","https://openalex.org/W2970480111","https://openalex.org/W2970509139","https://openalex.org/W2974604908","https://openalex.org/W2975412433","https://openalex.org/W3034379414","https://openalex.org/W3092043163","https://openalex.org/W3120358876","https://openalex.org/W3155429205","https://openalex.org/W3174505712","https://openalex.org/W4221166835","https://openalex.org/W4223525880","https://openalex.org/W4225089256","https://openalex.org/W4226334005","https://openalex.org/W4226412871","https://openalex.org/W4385245566","https://openalex.org/W6631190155","https://openalex.org/W6640362995","https://openalex.org/W6682082992","https://openalex.org/W6691656781","https://openalex.org/W6726873649","https://openalex.org/W6737664043","https://openalex.org/W6749825310","https://openalex.org/W6755207826","https://openalex.org/W6755977528","https://openalex.org/W6761547421","https://openalex.org/W6768817161","https://openalex.org/W6769607603","https://openalex.org/W6772544576","https://openalex.org/W6779068807","https://openalex.org/W6783752356","https://openalex.org/W6839043165","https://openalex.org/W6856800273","https://openalex.org/W6859969326","https://openalex.org/W6869608522","https://openalex.org/W6875756462"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2356597680","https://openalex.org/W2093471820","https://openalex.org/W50079190","https://openalex.org/W2114846443","https://openalex.org/W3102147106","https://openalex.org/W2111726165","https://openalex.org/W2347460059"],"abstract_inverted_index":{"As":[0],"data":[1],"scales":[2],"expand,":[3],"effectively":[4],"modeling":[5],"long-distance":[6,46],"dependencies":[7],"has":[8],"become":[9],"crucial":[10],"for":[11],"information":[12,64,74],"extraction.":[13],"We":[14,68],"propose":[15],"TIER,":[16],"which":[17],"combines":[18],"the":[19,25,40,50,58,63,78,92,110,117,131,145],"Temporal":[20],"Convolutional":[21],"Network":[22],"(TCN)":[23],"and":[24,49,77,94,101,106,141,147,164],"Conditional":[26],"Random":[27],"Field":[28],"(CRF).":[29],"The":[30],"dilated":[31],"convolution":[32],"structure":[33],"of":[34,113,122,133,144],"TCN":[35],"is":[36,55,124],"used":[37],"to":[38,44,61,109,127],"expand":[39],"Receptive":[41],"Fields":[42],"(RFs)":[43],"capture":[45],"context":[47],"features,":[48],"global":[51],"dependency":[52],"between":[53],"labels":[54],"modeled":[56],"through":[57],"CRF":[59],"layer":[60],"improve":[62],"extraction":[65,75],"performance":[66,112],"further.":[67],"conducted":[69,138],"experimental":[70],"evaluations":[71],"on":[72,87,91],"three":[73],"tasks,":[76],"results":[79],"show":[80],"that":[81,158],"our":[82,134,159],"model":[83],"outperforms":[84],"SOTA":[85,114,128],"models":[86],"four":[88],"datasets.":[89],"Specifically,":[90],"MSRA":[93,146],"DUIE":[95],"2.0":[96],"datasets,":[97],"F1-scores":[98,151],"reached":[99],"94.97%":[100],"93.64%,":[102],"improving":[103],"by":[104],"4.82%":[105],"4.34%":[107],"compared":[108,126],"average":[111],"models.":[115],"On":[116],"CLUENER":[118,148],"dataset,":[119],"an":[120],"improvement":[121],"4.12%":[123],"achieved":[125],"models,":[129],"demonstrating":[130],"superiority":[132],"approach.":[135],"Additionally,":[136],"we":[137],"low-resource":[139,167],"experiments,":[140],"under":[142],"30%-70%":[143],"training":[149],"data,":[150],"remained":[152],"at":[153],"relatively":[154],"high":[155],"levels,":[156],"verifying":[157],"method":[160],"maintains":[161],"good":[162],"adaptability":[163],"generality":[165],"in":[166],"scenarios.":[168]},"counts_by_year":[],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
