{"id":"https://openalex.org/W4412888089","doi":"https://doi.org/10.18653/v1/2025.findings-acl.758","title":"Enhancing the Comprehensibility of Text Explanations via Unsupervised Concept Discovery","display_name":"Enhancing the Comprehensibility of Text Explanations via Unsupervised Concept Discovery","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4412888089","doi":"https://doi.org/10.18653/v1/2025.findings-acl.758"},"language":"en","primary_location":{"id":"doi:10.18653/v1/2025.findings-acl.758","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-acl.758","pdf_url":"https://aclanthology.org/2025.findings-acl.758.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: ACL 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-acl.758.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5002374780","display_name":"Yifan Sun","orcid":"https://orcid.org/0000-0002-4082-5379"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yifan Sun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062201387","display_name":"Danding Wang","orcid":"https://orcid.org/0000-0003-3603-9743"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Danding Wang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060945576","display_name":"Qiang Sheng","orcid":"https://orcid.org/0000-0002-2481-5023"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qiang Sheng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056924576","display_name":"Juan Cao","orcid":"https://orcid.org/0000-0002-7857-1546"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Juan Cao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5010080607","display_name":"Jintao Li","orcid":"https://orcid.org/0000-0002-4597-8534"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jintao Li","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"14695","last_page":"14713"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.96670001745224,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.96670001745224,"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":0.9480000138282776,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9106000065803528,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7157684564590454},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4876181185245514},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4485529363155365},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3867684304714203},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3424620032310486}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7157684564590454},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4876181185245514},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4485529363155365},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3867684304714203},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3424620032310486}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2025.findings-acl.758","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-acl.758","pdf_url":"https://aclanthology.org/2025.findings-acl.758.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: ACL 2025","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2025.findings-acl.758","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-acl.758","pdf_url":"https://aclanthology.org/2025.findings-acl.758.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: ACL 2025","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.46000000834465027,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G3087519993","display_name":null,"funder_award_id":"2024M763336","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G6231450710","display_name":null,"funder_award_id":"XDB0680202","funder_id":"https://openalex.org/F4320321133","funder_display_name":"Chinese Academy of Sciences"},{"id":"https://openalex.org/G87026667","display_name":null,"funder_award_id":"62406310","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321133","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320335561","display_name":"Institute of Computing Technology, Chinese Academy of Sciences","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412888089.pdf","grobid_xml":"https://content.openalex.org/works/W4412888089.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W3204019825"],"abstract_inverted_index":{"Concept-based":[0],"explainable":[1,10],"approaches":[2],"have":[3],"emerged":[4],"as":[5],"a":[6,18],"promising":[7],"method":[8,131],"in":[9,17,27,150],"AI":[11],"because":[12],"they":[13],"can":[14],"interpret":[15],"models":[16],"way":[19],"that":[20,48,56,129,141],"aligns":[21],"with":[22,89],"human":[23],"reasoning.However,":[24],"their":[25],"adaption":[26],"the":[28,103,106,115,119,142],"text":[29],"domain":[30],"remains":[31],"limited.Most":[32],"existing":[33],"methods":[34,47,67],"rely":[35],"on":[36],"predefined":[37],"concept":[38,91,138],"annotations":[39],"and":[40],"cannot":[41],"discover":[42,86],"unseen":[43],"concepts,":[44],"while":[45],"other":[46],"extract":[49,99],"concepts":[50,73,88,101,108,143],"without":[51],"supervision":[52],"often":[53],"produce":[54],"explanations":[55],"are":[57],"not":[58],"intuitively":[59],"comprehensible":[60,72,87],"to":[61,85,98,123],"humans,":[62],"potentially":[63],"diminishing":[64],"user":[65],"trust.These":[66],"fall":[68],"short":[69],"of":[70,105],"discovering":[71],"automatically.To":[74],"address":[75],"this":[76],"issue,":[77],"we":[78],"propose":[79],"ECO-Concept,":[80],"an":[81,95],"intrinsically":[82],"interpretable":[83],"framework":[84],"no":[90],"annotations.ECO-Concept":[92],"first":[93],"utilizes":[94],"object-centric":[96],"architecture":[97],"semantic":[100],"automatically.Then":[102],"comprehensibility":[104],"extracted":[107],"is":[109],"evaluated":[110],"by":[111,145],"large":[112],"language":[113],"models.Finally,":[114],"evaluation":[116],"result":[117],"guides":[118],"subsequent":[120],"model":[121],"fine-tuning":[122],"obtain":[124],"more":[125],"understandable":[126],"explanations.Experiments":[127],"show":[128],"our":[130],"achieves":[132],"superior":[133],"performance":[134],"across":[135],"diverse":[136],"tasks.Further":[137],"evaluations":[139],"validate":[140],"learned":[144],"ECO-Concept":[146],"surpassed":[147],"current":[148],"counterparts":[149],"comprehensibility.":[151]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}