{"id":"https://openalex.org/W4416037475","doi":"https://doi.org/10.18653/v1/2025.emnlp-main.0","title":"Front Matter","display_name":"Front Matter","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4416037475","doi":"https://doi.org/10.18653/v1/2025.emnlp-main.0"},"language":null,"primary_location":{"id":"doi:10.18653/v1/2025.emnlp-main.0","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.emnlp-main.0","pdf_url":"https://aclanthology.org/2025.emnlp-main.0.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":"Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2025.emnlp-main.0.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5026253371","display_name":"Christos Christodoulopoulos","orcid":"https://orcid.org/0000-0001-7708-0051"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Christos Christodoulopoulos","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5120309273","display_name":"Tanmoy Chakraborty","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tanmoy Chakraborty","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Carolyn Rose","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Carolyn Rose","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5120309274","display_name":"Violet Peng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Violet Peng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.30226055,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13607","display_name":"Academic Publishing and Open Access","score":0.043699998408555984,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T13607","display_name":"Academic Publishing and Open Access","score":0.043699998408555984,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10442","display_name":"Knee injuries and reconstruction techniques","score":0.02319999970495701,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12648","display_name":"Academic Writing and Publishing","score":0.018300000578165054,"subfield":{"id":"https://openalex.org/subfields/1207","display_name":"History and Philosophy of Science"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/front","display_name":"Front (military)","score":0.6601999998092651},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5503000020980835},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.3799999952316284},{"id":"https://openalex.org/keywords/front-and-back-ends","display_name":"Front and back ends","score":0.21410000324249268}],"concepts":[{"id":"https://openalex.org/C2777551076","wikidata":"https://www.wikidata.org/wiki/Q842332","display_name":"Front (military)","level":2,"score":0.6601999998092651},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5503000020980835},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.3921000063419342},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.3799999952316284},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.29249998927116394},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.25699999928474426},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.24789999425411224},{"id":"https://openalex.org/C53016008","wikidata":"https://www.wikidata.org/wiki/Q620167","display_name":"Front and back ends","level":2,"score":0.21410000324249268},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.2012999951839447},{"id":"https://openalex.org/C178802073","wikidata":"https://www.wikidata.org/wiki/Q8421","display_name":"Aeronautics","level":1,"score":0.20029999315738678}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2025.emnlp-main.0","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.emnlp-main.0","pdf_url":"https://aclanthology.org/2025.emnlp-main.0.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":"Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2025.emnlp-main.0","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.emnlp-main.0","pdf_url":"https://aclanthology.org/2025.emnlp-main.0.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":"Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320314997","display_name":"Strong","ror":"https://ror.org/041vyzr56"},{"id":"https://openalex.org/F4320318846","display_name":"Yuhan","ror":"https://ror.org/00bv1jr75"},{"id":"https://openalex.org/F4320322724","display_name":"Ministry of Education, India","ror":"https://ror.org/048xjjh50"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4416037475.pdf","grobid_xml":"https://content.openalex.org/works/W4416037475.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"In":[0],"total,":[1],"there":[2],"are":[3],"1811":[4],"papers":[5,13,22,29],"accepted":[6,14],"to":[7,15,77,85],"the":[8,60,78],"Main":[9,20],"Conference":[10,21],"and":[11,25,73],"1417":[12],"Findings.The":[16],"acceptance":[17,33],"rate":[18,34],"for":[19,27],"is":[23,30],"22.16%":[24],"one":[26],"Findings":[28],"further":[31],"17.34%.The":[32],"calculation":[35,56],"largely":[36],"follows":[37],"precedent":[38],"set":[39],"by":[40],"previous":[41],"conferences":[42],"that":[43],"also":[44],"go":[45],"through":[46,91],"ACL":[47,54],"Rolling":[48],"Review":[49],"(ARR),":[50],"e.":[51],"g.NAACL":[52],"2025,":[53],"2025.The":[55],"takes":[57],"into":[58],"account":[59],"multi-stage":[61],"process":[62],"of":[63],"ARR,":[64],"where":[65],"a":[66],"paper":[67],"may":[68],"get":[69],"revised":[70],"in":[71],"ARR":[72,90],"then":[74],"later":[75],"committed":[76,84],"conference.The":[79],"denominator":[80],"includes":[81],"all":[82],"those":[83],"EMNLP":[86],"from":[87],"Dec":[88],"2024":[89],"May":[92],"2025":[93],"ARR.":[94]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-11-08T00:00:00"}
