{"id":"https://openalex.org/W4416034409","doi":"https://doi.org/10.18653/v1/2025.findings-emnlp.1214","title":"Explaining novel senses using definition generation with open language models","display_name":"Explaining novel senses using definition generation with open language models","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4416034409","doi":"https://doi.org/10.18653/v1/2025.findings-emnlp.1214"},"language":null,"primary_location":{"id":"doi:10.18653/v1/2025.findings-emnlp.1214","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-emnlp.1214","pdf_url":"https://aclanthology.org/2025.findings-emnlp.1214.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":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2025.findings-emnlp.1214.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5037966941","display_name":"Mari\u0456a Fedorova","orcid":"https://orcid.org/0009-0002-8207-5593"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mariia Fedorova","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071409817","display_name":"Andrey Kutuzov","orcid":"https://orcid.org/0000-0003-2540-5912"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Andrey Kutuzov","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049902818","display_name":"Francesco Periti","orcid":"https://orcid.org/0000-0001-8388-2317"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Francesco Periti","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5063672760","display_name":"Yves Scherrer","orcid":"https://orcid.org/0000-0001-5247-5073"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yves Scherrer","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":0.15713514,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"22294","last_page":"22302"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.335099995136261,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.335099995136261,"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/T10028","display_name":"Topic Modeling","score":0.10130000114440918,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.05260000005364418,"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/feature","display_name":"Feature (linguistics)","score":0.35429999232292175},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.33640000224113464},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.2736000120639801},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.265500009059906},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.25859999656677246}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5845999717712402},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41990000009536743},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.41850000619888306},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.4108999967575073},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.35429999232292175},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.33640000224113464},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.2736000120639801},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.265500009059906},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.25859999656677246},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.24770000576972961}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2025.findings-emnlp.1214","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-emnlp.1214","pdf_url":"https://aclanthology.org/2025.findings-emnlp.1214.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.1214","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-emnlp.1214","pdf_url":"https://aclanthology.org/2025.findings-emnlp.1214.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/W4416034409.pdf","grobid_xml":"https://content.openalex.org/works/W4416034409.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"We":[0],"apply":[1],"definition":[2,76],"generators":[3,77],"based":[4],"on":[5,37,79],"openweights":[6],"Large":[7],"Language":[8],"Models":[9],"(LLMs)":[10],"to":[11],"the":[12,30,33,58,62],"task":[13,36],"of":[14,61],"explaining":[15],"novel":[16],"word":[17,21],"senses,":[18],"taking":[19],"target":[20],"usages":[22],"as":[23],"an":[24],"input.To":[25],"this":[26],"end,":[27],"we":[28,72],"employ":[29],"datasets":[31],"from":[32],"AX-OLOTL'24":[34],"shared":[35,64],"explainable":[38],"semantic":[39],"change":[40],"modeling,":[41],"which":[42,66],"features":[43],"Finnish,":[44],"Russian":[45],"and":[46,50],"German":[47],"languages.We":[48],"fine-tune":[49],"provide":[51],"publicly":[52],"open-source":[53],"models":[54],"performing":[55],"higher":[56],"than":[57],"best":[59],"submissions":[60],"aforementioned":[63],"task,":[65],"employed":[67],"closed":[68],"proprietary":[69],"LLMs.In":[70],"addition,":[71],"find":[73],"that":[74],"encoder-decoder":[75],"perform":[78],"par":[80],"with":[81],"their":[82],"decoder-only":[83],"counterparts.":[84]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-11-08T00:00:00"}
