{"id":"https://openalex.org/W3153366754","doi":"https://doi.org/10.1145/3404835.3462873","title":"Cross-Domain Contract Element Extraction with a Bi-directional Feedback Clause-Element Relation Network","display_name":"Cross-Domain Contract Element Extraction with a Bi-directional Feedback Clause-Element Relation Network","publication_year":2021,"publication_date":"2021-07-11","ids":{"openalex":"https://openalex.org/W3153366754","doi":"https://doi.org/10.1145/3404835.3462873","mag":"3153366754"},"language":"en","primary_location":{"id":"doi:10.1145/3404835.3462873","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3404835.3462873","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2105.06083","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100380107","display_name":"Zihan Wang","orcid":"https://orcid.org/0000-0003-0493-2668"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zihan Wang","raw_affiliation_strings":["Shandong University, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"Shandong University, Qingdao, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063015510","display_name":"Hongye Song","orcid":null},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongye Song","raw_affiliation_strings":["Alibaba Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100384130","display_name":"Zhaochun Ren","orcid":"https://orcid.org/0000-0002-9076-6565"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaochun Ren","raw_affiliation_strings":["Shandong University, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"Shandong University, Qingdao, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046700486","display_name":"Pengjie Ren","orcid":"https://orcid.org/0000-0003-2964-6422"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengjie Ren","raw_affiliation_strings":["Shandong University, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"Shandong University, Qingdao, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050947285","display_name":"Zhumin Chen","orcid":"https://orcid.org/0000-0003-4592-4074"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhumin Chen","raw_affiliation_strings":["Shandong University, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"Shandong University, Qingdao, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101985030","display_name":"Xiaozhong Liu","orcid":"https://orcid.org/0000-0003-3477-8323"},"institutions":[{"id":"https://openalex.org/I4210119109","display_name":"Indiana University Bloomington","ror":"https://ror.org/02k40bc56","country_code":"US","type":"education","lineage":["https://openalex.org/I4210119109","https://openalex.org/I592451"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaozhong Liu","raw_affiliation_strings":["Indiana University Bloomington, Bloomington, IN, USA"],"affiliations":[{"raw_affiliation_string":"Indiana University Bloomington, Bloomington, IN, USA","institution_ids":["https://openalex.org/I4210119109"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103017087","display_name":"Hongsong Li","orcid":"https://orcid.org/0000-0002-1198-2500"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongsong Li","raw_affiliation_strings":["Alibaba Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031439294","display_name":"Maarten de Rijke","orcid":"https://orcid.org/0000-0002-1086-0202"},"institutions":[{"id":"https://openalex.org/I887064364","display_name":"University of Amsterdam","ror":"https://ror.org/04dkp9463","country_code":"NL","type":"education","lineage":["https://openalex.org/I887064364"]},{"id":"https://openalex.org/I4210112722","display_name":"Ahold Delhaize (Netherlands)","ror":"https://ror.org/01v6p2g18","country_code":"NL","type":"company","lineage":["https://openalex.org/I4210112722"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Maarten de Rijke","raw_affiliation_strings":["University of Amsterdam &amp; Ahold Delhaize Research, Amsterdam, Netherlands"],"affiliations":[{"raw_affiliation_string":"University of Amsterdam &amp; Ahold Delhaize Research, Amsterdam, Netherlands","institution_ids":["https://openalex.org/I4210112722","https://openalex.org/I887064364"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5100380107"],"corresponding_institution_ids":["https://openalex.org/I154099455"],"apc_list":null,"apc_paid":null,"fwci":1.1199,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.81772868,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1003","last_page":"1012"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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/T10028","display_name":"Topic Modeling","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/T13643","display_name":"Artificial Intelligence in Law","score":0.9911999702453613,"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":0.9886999726295471,"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":0.7741259336471558},{"id":"https://openalex.org/keywords/element","display_name":"Element (criminal law)","score":0.6610150337219238},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5281659960746765},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5205075144767761},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5127252340316772},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.47233954071998596},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35018113255500793},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.33539316058158875},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11150944232940674},{"id":"https://openalex.org/keywords/law","display_name":"Law","score":0.07985615730285645},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07230508327484131}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7741259336471558},{"id":"https://openalex.org/C200288055","wikidata":"https://www.wikidata.org/wiki/Q2621792","display_name":"Element (criminal law)","level":2,"score":0.6610150337219238},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5281659960746765},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5205075144767761},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5127252340316772},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.47233954071998596},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35018113255500793},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.33539316058158875},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11150944232940674},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.07985615730285645},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07230508327484131},{"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/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1145/3404835.3462873","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3404835.3462873","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},{"id":"pmh:oai:dare.uva.nl:publications/3e96d212-c7e3-46b8-aac2-0d658da7c635","is_oa":false,"landing_page_url":"https://handle.uba.uva.nl/personal/pure/en/publications/crossdomain-contract-element-extraction-with-a-bidirectional-feedback-clauseelement-relation-network(3e96d212-c7e3-46b8-aac2-0d658da7c635).html","pdf_url":null,"source":{"id":"https://openalex.org/S4306400088","display_name":"UvA-DARE (University of Amsterdam)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I887064364","host_organization_name":"University of Amsterdam","host_organization_lineage":["https://openalex.org/I887064364"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Wang, Z, Song, H, Ren, Z, Ren, P, Chen, Z, Liu, X, Li, H & de Rijke, M 2021, Cross-Domain Contract Element Extraction with a Bi-directional Feedback Clause-Element Relation Network. in SIGIR '21 : proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval : July 11-15, 2021, virtual event, Canada. Association for Computing Machinery, New York, NY, pp. 1003-1012, 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Montr\u00e9al, Quebec, Canada, 11/07/21. https://doi.org/10.1145/3404835.3462873","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:arXiv.org:2105.06083","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2105.06083","pdf_url":"https://arxiv.org/pdf/2105.06083","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:dare.uva.nl:openaire_cris_publications/3e96d212-c7e3-46b8-aac2-0d658da7c635","is_oa":false,"landing_page_url":"https://hdl.handle.net/11245.1/3e96d212-c7e3-46b8-aac2-0d658da7c635","pdf_url":null,"source":{"id":"https://openalex.org/S4306400088","display_name":"UvA-DARE (University of Amsterdam)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I887064364","host_organization_name":"University of Amsterdam","host_organization_lineage":["https://openalex.org/I887064364"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Wang, Z, Song, H, Ren, Z, Ren, P, Chen, Z, Liu, X, Li, H & de Rijke, M 2021, Cross-Domain Contract Element Extraction with a Bi-directional Feedback Clause-Element Relation Network. in SIGIR '21 : proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval : July 11-15, 2021, virtual event, Canada. Association for Computing Machinery, New York, NY, pp. 1003-1012, 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Montr\u00e9al, Quebec, Canada, 11/07/21. https://doi.org/10.1145/3404835.3462873","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:uvapub:oai:dare.uva.nl:publications/3e96d212-c7e3-46b8-aac2-0d658da7c635","is_oa":false,"landing_page_url":"https://dare.uva.nl/personal/pure/en/publications/crossdomain-contract-element-extraction-with-a-bidirectional-feedback-clauseelement-relation-network(3e96d212-c7e3-46b8-aac2-0d658da7c635).html","pdf_url":null,"source":{"id":"https://openalex.org/S4306401843","display_name":"Data Archiving and Networked Services (DANS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1322597698","host_organization_name":"Royal Netherlands Academy of Arts and Sciences","host_organization_lineage":["https://openalex.org/I1322597698"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"SIGIR '21: proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval : July 11-15, 2021, virtual event, Canada, 1003 - 1012","raw_type":"info:eu-repo/semantics/conferencepaper"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2105.06083","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2105.06083","pdf_url":"https://arxiv.org/pdf/2105.06083","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","score":0.7300000190734863,"display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":62,"referenced_works":["https://openalex.org/W1490960179","https://openalex.org/W1491150152","https://openalex.org/W1592463163","https://openalex.org/W1982488716","https://openalex.org/W2019151878","https://openalex.org/W2035711370","https://openalex.org/W2079735306","https://openalex.org/W2088212442","https://openalex.org/W2163062381","https://openalex.org/W2169819436","https://openalex.org/W2250539671","https://openalex.org/W2398936787","https://openalex.org/W2515248967","https://openalex.org/W2547450774","https://openalex.org/W2579198251","https://openalex.org/W2600638292","https://openalex.org/W2604986524","https://openalex.org/W2608377846","https://openalex.org/W2615487675","https://openalex.org/W2741782787","https://openalex.org/W2750779823","https://openalex.org/W2778931183","https://openalex.org/W2779545291","https://openalex.org/W2782912507","https://openalex.org/W2790740913","https://openalex.org/W2798298921","https://openalex.org/W2803462738","https://openalex.org/W2887593177","https://openalex.org/W2890459330","https://openalex.org/W2890494294","https://openalex.org/W2896457183","https://openalex.org/W2904328064","https://openalex.org/W2911489562","https://openalex.org/W2916355958","https://openalex.org/W2945972326","https://openalex.org/W2949759300","https://openalex.org/W2950938254","https://openalex.org/W2952087486","https://openalex.org/W2962711740","https://openalex.org/W2962902328","https://openalex.org/W2963186636","https://openalex.org/W2963240788","https://openalex.org/W2963341956","https://openalex.org/W2963709490","https://openalex.org/W2964052092","https://openalex.org/W2964259149","https://openalex.org/W2966366134","https://openalex.org/W2994506732","https://openalex.org/W3001873397","https://openalex.org/W3011594683","https://openalex.org/W3028917512","https://openalex.org/W3035402810","https://openalex.org/W3094452565","https://openalex.org/W3102561203","https://openalex.org/W3103769805","https://openalex.org/W3117737817","https://openalex.org/W3122083027","https://openalex.org/W3155785643","https://openalex.org/W3198854804","https://openalex.org/W4205807230","https://openalex.org/W4233335841","https://openalex.org/W4365799947"],"related_works":["https://openalex.org/W2055243143","https://openalex.org/W2380000090","https://openalex.org/W2374797863","https://openalex.org/W2349308527","https://openalex.org/W4321636575","https://openalex.org/W1986418932","https://openalex.org/W2357796999","https://openalex.org/W2347909813","https://openalex.org/W2045526782","https://openalex.org/W2383301647"],"abstract_inverted_index":{"Contract":[0],"element":[1,48,176,226],"extraction":[2,105],"(CEE)":[3],"is":[4,61,183,193,215],"the":[5,99,104,120,135,143,149,196,202,218],"novel":[6],"task":[7,30,60,146],"of":[8,101,122,204],"automatically":[9],"identifying":[10],"and":[11,21,38,47,166,177,187,225,235],"extracting":[12],"legally":[13],"relevant":[14],"elements":[15,89,123],"such":[16],"as":[17,33,44],"contract":[18,45,88],"dates,":[19],"payments,":[20],"legislation":[22],"references":[23],"from":[24,66,77,124],"contracts.":[25],"Automatic":[26],"methods":[27],"for":[28,56,107,114,142],"this":[29,57],"view":[31],"it":[32],"a":[34,53,118,133,158,162,180,188,207,211],"sequence":[35,58],"labeling":[36,59],"problem":[37],"dramatically":[39],"reduce":[40,201],"human":[41],"labor.":[42],"However,":[43],"genres":[46],"types":[49],"may":[50],"vary":[51],"widely,":[52],"significant":[54],"challenge":[55],"how":[62],"to":[63,69],"transfer":[64,100],"knowledge":[65,174],"one":[67],"domain":[68],"another,":[70],"i.e.,":[71],"cross-domain":[72,78,108,115,144,233],"CEE.":[73],"Cross-domain":[74],"CEE":[75,109,145,236],"differs":[76],"named":[79,95],"entity":[80],"recognition":[81],"(NER)":[82],"in":[83,195,217],"two":[84],"important":[85],"ways.":[86],"First,":[87],"are":[90,110],"far":[91],"more":[92,129],"fine-grained":[93],"than":[94,113],"entities,":[96],"which":[97],"hinders":[98],"extractors.":[102],"Second,":[103],"zones":[106],"much":[111],"larger":[112],"NER.":[116],"As":[117],"result,":[119],"contexts":[121],"different":[125],"domains":[126,186],"can":[127],"be":[128],"diverse.":[130],"We":[131],"propose":[132],"framework,":[134],"Bi-directional":[136],"Feedback":[137],"cLause-Element":[138],"relaTion":[139],"network":[140,192],"(Bi-FLEET),":[141],"that":[147,239],"addresses":[148],"above":[150],"challenges.":[151],"Bi-FLEET":[152,240],"has":[153],"three":[154],"main":[155],"components:":[156],"(1)":[157],"context":[159,205],"encoder,":[160,165],"(2)":[161],"clause-element":[163,181,197],"relation":[164,198],"(3)":[167],"an":[168],"inference":[169,219],"layer.":[170],"To":[171,200],"incorporate":[172],"invariant":[173],"about":[175],"clause":[178,223],"types,":[179],"graph":[182,190],"constructed":[184],"across":[185],"hierarchical":[189],"neural":[191],"adopted":[194],"encoder.":[199],"influence":[203],"variations,":[206],"multi-task":[208],"framework":[209],"with":[210],"bi-directional":[212],"feedback":[213],"scheme":[214],"designed":[216],"layer,":[220],"conducting":[221],"both":[222,232],"classification":[224],"extraction.":[227],"The":[228],"experimental":[229],"results":[230],"over":[231],"NER":[234],"tasks":[237],"show":[238],"significantly":[241],"outperforms":[242],"state-of-the-art":[243],"baselines.":[244]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2021-05-24T00:00:00"}
