{"id":"https://openalex.org/W4416034588","doi":"https://doi.org/10.18653/v1/2025.findings-emnlp.408","title":"Enriching Patent Claim Generation with European Patent Dataset","display_name":"Enriching Patent Claim Generation with European Patent Dataset","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4416034588","doi":"https://doi.org/10.18653/v1/2025.findings-emnlp.408"},"language":null,"primary_location":{"id":"doi:10.18653/v1/2025.findings-emnlp.408","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-emnlp.408","pdf_url":"https://aclanthology.org/2025.findings-emnlp.408.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Findings of the Association for Computational Linguistics: EMNLP 2025","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2025.findings-emnlp.408.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5065281137","display_name":"Lekang Jiang","orcid":"https://orcid.org/0009-0001-3227-0537"},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Lekang Jiang","raw_affiliation_strings":["University of Cambridge"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Cambridge","institution_ids":["https://openalex.org/I241749"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031811109","display_name":"Chun Li","orcid":"https://orcid.org/0000-0002-8819-2443"},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Chengzu Li","raw_affiliation_strings":["University of Cambridge"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Cambridge","institution_ids":["https://openalex.org/I241749"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033945885","display_name":"Stefan M. Goetz","orcid":"https://orcid.org/0000-0002-1944-0714"},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Stefan Goetz","raw_affiliation_strings":["University of Cambridge"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Cambridge","institution_ids":["https://openalex.org/I241749"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I241749"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.50096712,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"7734","last_page":"7751"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10856","display_name":"Intellectual Property and Patents","score":0.9115999937057495,"subfield":{"id":"https://openalex.org/subfields/1405","display_name":"Management of Technology and Innovation"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10856","display_name":"Intellectual Property and Patents","score":0.9115999937057495,"subfield":{"id":"https://openalex.org/subfields/1405","display_name":"Management of Technology and Innovation"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T14347","display_name":"Big Data and Digital Economy","score":0.012900000438094139,"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"}},{"id":"https://openalex.org/T13851","display_name":"Law, AI, and Intellectual Property","score":0.00430000014603138,"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/government","display_name":"Government (linguistics)","score":0.27810001373291016},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.2637999951839447},{"id":"https://openalex.org/keywords/patent-troll","display_name":"Patent troll","score":0.24699999392032623},{"id":"https://openalex.org/keywords/european-union","display_name":"European union","score":0.24650000035762787},{"id":"https://openalex.org/keywords/payment","display_name":"Payment","score":0.24070000648498535}],"concepts":[{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.5285999774932861},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.31779998540878296},{"id":"https://openalex.org/C162118730","wikidata":"https://www.wikidata.org/wiki/Q1128453","display_name":"Actuarial science","level":1,"score":0.2791000008583069},{"id":"https://openalex.org/C2778137410","wikidata":"https://www.wikidata.org/wiki/Q2732820","display_name":"Government (linguistics)","level":2,"score":0.27810001373291016},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2637999951839447},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.257999986410141},{"id":"https://openalex.org/C115910719","wikidata":"https://www.wikidata.org/wiki/Q1059844","display_name":"Patent troll","level":4,"score":0.24699999392032623},{"id":"https://openalex.org/C2910001868","wikidata":"https://www.wikidata.org/wiki/Q458","display_name":"European union","level":2,"score":0.24650000035762787},{"id":"https://openalex.org/C145097563","wikidata":"https://www.wikidata.org/wiki/Q1148747","display_name":"Payment","level":2,"score":0.24070000648498535},{"id":"https://openalex.org/C2778029865","wikidata":"https://www.wikidata.org/wiki/Q25110998","display_name":"Patent analysis","level":2,"score":0.23690000176429749}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2025.findings-emnlp.408","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-emnlp.408","pdf_url":"https://aclanthology.org/2025.findings-emnlp.408.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Findings of the Association for Computational Linguistics: EMNLP 2025","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2025.findings-emnlp.408","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-emnlp.408","pdf_url":"https://aclanthology.org/2025.findings-emnlp.408.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Findings of the Association for Computational Linguistics: EMNLP 2025","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4416034588.pdf","grobid_xml":"https://content.openalex.org/works/W4416034588.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Drafting":[0],"patent":[1,55,126],"claims":[2],"is":[3],"time-intensive,":[4],"costly,":[5],"and":[6,35,47,61,90,118,146,151],"requires":[7],"professional":[8],"skill.Therefore,":[9],"researchers":[10],"have":[11],"investigated":[12],"large":[13],"language":[14],"models":[15],"(LLMs)":[16],"to":[17,64,104,163],"assist":[18],"inventors":[19],"in":[20,76,88,148],"writing":[21],"claims.However,":[22],"existing":[23],"work":[24],"has":[25],"largely":[26],"relied":[27],"on":[28,137,143,176],"datasets":[29,145],"from":[30,84],"the":[31,74,181],"United":[32],"States":[33],"Patent":[34],"Trademark":[36],"Office":[37],"(USPTO).To":[38],"enlarge":[39],"research":[40],"scope":[41],"regarding":[42],"various":[43],"jurisdictions,":[44],"drafting":[45,91],"conventions,":[46],"legal":[48,89],"standards,":[49],"we":[50],"introduce":[51],"EPD,":[52],"a":[53,94,99,158],"European":[54,102],"dataset.EPD":[56],"presents":[57],"rich":[58],"textual":[59],"data":[60],"structured":[62],"metadata":[63],"support":[65],"multiple":[66],"patent-related":[67],"tasks,":[68],"including":[69],"claim":[70,149],"generation.This":[71],"dataset":[72],"enriches":[73],"field":[75],"three":[77],"critical":[78,95],"aspects:":[79],"(1)":[80],"Jurisdictional":[81],"diversity:":[82],"Patents":[83],"different":[85],"offices":[86],"vary":[87],"conventions.EPD":[92],"fills":[93],"gap":[96],"by":[97],"providing":[98],"benchmark":[100],"of":[101,125,161],"patents":[103,115],"enable":[105],"more":[106],"comprehensive":[107],"evaluation.(2)":[108],"Quality":[109],"improvement:":[110],"EPD":[111,138,162],"offers":[112],"high-quality":[113],"granted":[114],"with":[116],"finalized":[117],"legally":[119],"approved":[120],"texts,":[121],"whereas":[122],"others":[123],"consist":[124],"applications":[127],"that":[128,134,169],"are":[129],"unexamined":[130],"or":[131],"provisional.Experiments":[132],"show":[133],"LLMs":[135,172],"fine-tuned":[136],"significantly":[139],"outperform":[140],"those":[141],"trained":[142],"previous":[144],"even":[147],"quality":[150],"cross-domain":[152],"generalization.(3)":[153],"Real-world":[154],"simulation:":[155],"We":[156],"propose":[157],"difficult":[159],"subset":[160],"better":[164],"reflect":[165],"real-world":[166],"challenges.Results":[167],"reveal":[168],"all":[170],"tested":[171],"perform":[173],"substantially":[174],"worse":[175],"challenging":[177],"samples,":[178],"which":[179],"highlights":[180],"need":[182],"for":[183],"future":[184],"research.":[185]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-11-08T00:00:00"}