{"id":"https://openalex.org/W7126451661","doi":"https://doi.org/10.18653/v1/2024.findings-eacl.110","title":"Trainable Hard Negative Examples in Contrastive Learning for Unsupervised Abstractive Summarization","display_name":"Trainable Hard Negative Examples in Contrastive Learning for Unsupervised Abstractive Summarization","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W7126451661","doi":"https://doi.org/10.18653/v1/2024.findings-eacl.110"},"language":null,"primary_location":{"id":"doi:10.18653/v1/2024.findings-eacl.110","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2024.findings-eacl.110","pdf_url":"https://aclanthology.org/2024.findings-eacl.110.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: EACL 2024","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2024.findings-eacl.110.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5124569822","display_name":"Haojie Zhuang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Haojie Zhuang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070697660","display_name":"Wei Emma Zhang","orcid":"https://orcid.org/0000-0002-0406-5974"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wei Emma Zhang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104237486","display_name":"Chang George Dong","orcid":"https://orcid.org/0009-0005-1495-6534"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chang Dong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124615003","display_name":"Jian Yang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jian Yang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5124591310","display_name":"Quan Sheng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Quan Sheng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"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":0.57309442,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1589","last_page":"1600"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.5575000047683716,"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":0.5575000047683716,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.08879999816417694,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.033799998462200165,"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/automatic-summarization","display_name":"Automatic summarization","score":0.5008000135421753},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.39719998836517334},{"id":"https://openalex.org/keywords/contrastive-analysis","display_name":"Contrastive analysis","score":0.3880000114440918},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.2935999929904938},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.27469998598098755}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6762999892234802},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.675599992275238},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5684000253677368},{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.5008000135421753},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.39719998836517334},{"id":"https://openalex.org/C2777629044","wikidata":"https://www.wikidata.org/wiki/Q614959","display_name":"Contrastive analysis","level":2,"score":0.3880000114440918},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.3163999915122986},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.2935999929904938},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.27469998598098755},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.26190000772476196},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.2515999972820282}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2024.findings-eacl.110","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2024.findings-eacl.110","pdf_url":"https://aclanthology.org/2024.findings-eacl.110.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: EACL 2024","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2024.findings-eacl.110","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2024.findings-eacl.110","pdf_url":"https://aclanthology.org/2024.findings-eacl.110.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: EACL 2024","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7126451661.pdf","grobid_xml":"https://content.openalex.org/works/W7126451661.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Contrastive":[0],"learning":[1,55],"has":[2],"demonstrated":[3],"promising":[4],"results":[5],"in":[6,32,56],"unsupervised":[7,57,126],"abstractive":[8,58,127],"summarization.However,":[9],"existing":[10],"methods":[11],"rely":[12],"on":[13,121],"manually":[14],"crafted":[15],"negative":[16,27,51,66,77,89,97],"examples,":[17,105],"demanding":[18],"substantial":[19],"human":[20],"effort":[21],"and":[22,34,80,87,129],"domain":[23],"knowledge.Moreover,":[24],"these":[25,41],"human-generated":[26],"examples":[28,52,98],"may":[29],"be":[30],"poor":[31],"quality":[33,113],"lack":[35],"adaptability":[36],"during":[37],"model":[38],"training.To":[39],"address":[40],"issues,":[42],"we":[43],"propose":[44],"a":[45,76,81],"novel":[46],"approach":[47],"that":[48,99],"learns":[49],"trainable":[50],"for":[53,64,125],"contrastive":[54],"summarization,":[59],"which":[60],"eliminates":[61],"the":[62,85,103,107,112,115],"need":[63],"manual":[65],"example":[67,78,90],"design.Our":[68],"framework":[69],"introduces":[70],"an":[71],"adversarial":[72],"optimization":[73],"process":[74],"between":[75],"network":[79,83,91,109],"representation":[82,108],"(including":[84],"summarizer":[86],"encoders).The":[88],"is":[92],"trained":[93],"to":[94,102,110,135],"synthesize":[95],"hard":[96],"are":[100],"close":[101],"positive":[104],"driving":[106],"improve":[111],"of":[114],"generated":[116],"summaries.We":[117],"evaluate":[118],"our":[119],"method":[120],"two":[122],"benchmark":[123],"datasets":[124],"summarization":[128],"observe":[130],"significant":[131],"performance":[132],"improvements":[133],"compared":[134],"strong":[136],"baseline":[137],"models.":[138]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-02-02T00:00:00"}
