{"id":"https://openalex.org/W2963545005","doi":"https://doi.org/10.18653/v1/p18-1013","title":"A Unified Model for Extractive and Abstractive Summarization using Inconsistency Loss","display_name":"A Unified Model for Extractive and Abstractive Summarization using Inconsistency Loss","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2963545005","doi":"https://doi.org/10.18653/v1/p18-1013","mag":"2963545005"},"language":"en","primary_location":{"id":"doi:10.18653/v1/p18-1013","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p18-1013","pdf_url":"https://www.aclweb.org/anthology/P18-1013.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 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/P18-1013.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5083986639","display_name":"Wan\u2010Ting Hsu","orcid":"https://orcid.org/0000-0002-6677-0951"},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Wan-Ting Hsu","raw_affiliation_strings":["National Tsing Hua University,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Tsing Hua University,","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051172725","display_name":"Chieh-Kai Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chieh-Kai Lin","raw_affiliation_strings":["National Tsing Hua University,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Tsing Hua University,","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002944503","display_name":"Ming-Ying Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Ming-Ying Lee","raw_affiliation_strings":["National Tsing Hua University,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Tsing Hua University,","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015533786","display_name":"Kerui Min","orcid":null},"institutions":[{"id":"https://openalex.org/I4210108461","display_name":"Kingsoft (China)","ror":"https://ror.org/01stnfn33","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210108461"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kerui Min","raw_affiliation_strings":["Cheetah Mobile"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cheetah Mobile","institution_ids":["https://openalex.org/I4210108461"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083397767","display_name":"Jing Tang","orcid":"https://orcid.org/0000-0001-7480-7710"},"institutions":[{"id":"https://openalex.org/I4210108461","display_name":"Kingsoft (China)","ror":"https://ror.org/01stnfn33","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210108461"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Tang","raw_affiliation_strings":["Cheetah Mobile"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cheetah Mobile","institution_ids":["https://openalex.org/I4210108461"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102008600","display_name":"Min Sun","orcid":"https://orcid.org/0000-0001-9598-8178"},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Min Sun","raw_affiliation_strings":["National Tsing Hua University,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Tsing Hua University,","institution_ids":["https://openalex.org/I25846049"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":21.9571,"has_fulltext":true,"cited_by_count":269,"citation_normalized_percentile":{"value":0.99433016,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"132","last_page":"141"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":1.0,"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":1.0,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9998999834060669,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.996999979019165,"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":0.9458315372467041},{"id":"https://openalex.org/keywords/paragraph","display_name":"Paragraph","score":0.8744951486587524},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.781740665435791},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.7231414914131165},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6844296455383301},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6557809114456177},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.5954332947731018},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.46481072902679443},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.17742693424224854}],"concepts":[{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.9458315372467041},{"id":"https://openalex.org/C2777206241","wikidata":"https://www.wikidata.org/wiki/Q194431","display_name":"Paragraph","level":2,"score":0.8744951486587524},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.781740665435791},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.7231414914131165},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6844296455383301},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6557809114456177},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.5954332947731018},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.46481072902679443},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.17742693424224854},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/p18-1013","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p18-1013","pdf_url":"https://www.aclweb.org/anthology/P18-1013.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 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/p18-1013","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p18-1013","pdf_url":"https://www.aclweb.org/anthology/P18-1013.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 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.5400000214576721,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320323900","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2963545005.pdf","grobid_xml":"https://content.openalex.org/works/W2963545005.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W303217050","https://openalex.org/W1544827683","https://openalex.org/W1843891098","https://openalex.org/W2146502635","https://openalex.org/W2154652894","https://openalex.org/W2176263492","https://openalex.org/W2288604516","https://openalex.org/W2307381258","https://openalex.org/W2470673105","https://openalex.org/W2507756961","https://openalex.org/W2526471240","https://openalex.org/W2573425638","https://openalex.org/W2574535369","https://openalex.org/W2579653291","https://openalex.org/W2606974598","https://openalex.org/W2612675303","https://openalex.org/W2612920290","https://openalex.org/W2949615363","https://openalex.org/W2952138241","https://openalex.org/W2962805889","https://openalex.org/W2962965405","https://openalex.org/W2963403868","https://openalex.org/W2963521413","https://openalex.org/W2963768805","https://openalex.org/W2963929190","https://openalex.org/W2964144561","https://openalex.org/W2964165364","https://openalex.org/W2964308564","https://openalex.org/W4385245566"],"related_works":["https://openalex.org/W2377059580","https://openalex.org/W2366403280","https://openalex.org/W1495108544","https://openalex.org/W2391800119","https://openalex.org/W2595239241","https://openalex.org/W2799181378","https://openalex.org/W2052919063","https://openalex.org/W3003711649","https://openalex.org/W2904173691","https://openalex.org/W4365517254"],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2,17,36,48,78,130],"unified":[3],"model":[4,20,40,98],"combining":[5],"the":[6,14,33,61,87,100,118,125],"strength":[7],"of":[8,92,106],"extractive":[9,19,107],"and":[10,103,108,121],"abstractive":[11,39,109],"summarization.":[12],"On":[13,32],"one":[15],"hand,":[16,35],"simple":[18],"can":[21,41],"obtain":[22,42],"sentence-level":[23,55],"attention":[24,45,56,63],"with":[25,99],"high":[26],"ROUGE":[27,114],"scores":[28,115],"but":[29],"less":[30,68,72],"readable.":[31],"other":[34],"more":[37,49],"complicated":[38],"word-level":[43,62],"dynamic":[44],"to":[46,59,74,85],"generate":[47],"readable":[50,122],"paragraph.":[51],"In":[52],"our":[53,97],"model,":[54],"is":[57,83],"used":[58],"modulate":[60],"such":[64],"that":[65],"words":[66],"in":[67,129],"attended":[69],"sentences":[70],"are":[71],"likely":[73],"be":[75],"generated.":[76],"Moreover,":[77],"novel":[79],"inconsistency":[80,88,101],"loss":[81,102],"function":[82],"introduced":[84],"penalize":[86],"between":[89],"two":[90],"levels":[91],"attentions.":[93],"By":[94],"end-to-end":[95],"training":[96],"original":[104],"losses":[105],"models,":[110],"we":[111],"achieve":[112],"state-of-theart":[113],"while":[116],"being":[117],"most":[119],"informative":[120],"summarization":[123],"on":[124],"CNN/Daily":[126],"Mail":[127],"dataset":[128],"solid":[131],"human":[132],"evaluation.":[133]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":28},{"year":2022,"cited_by_count":27},{"year":2021,"cited_by_count":54},{"year":2020,"cited_by_count":64},{"year":2019,"cited_by_count":69},{"year":2018,"cited_by_count":7}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
