{"id":"https://openalex.org/W2971281012","doi":"https://doi.org/10.18653/v1/d19-1117","title":"Attention Optimization for Abstractive Document Summarization","display_name":"Attention Optimization for Abstractive Document Summarization","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2971281012","doi":"https://doi.org/10.18653/v1/d19-1117","mag":"2971281012"},"language":"en","primary_location":{"id":"doi:10.18653/v1/d19-1117","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-1117","pdf_url":"https://www.aclweb.org/anthology/D19-1117.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 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/D19-1117.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5113110337","display_name":"Min Gui","orcid":null},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Gui","raw_affiliation_strings":["Alibaba Group, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006589025","display_name":"Junfeng Tian","orcid":"https://orcid.org/0000-0003-1759-3255"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junfeng Tian","raw_affiliation_strings":["Alibaba Group, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100431149","display_name":"Rui Wang","orcid":"https://orcid.org/0000-0001-8007-2503"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Wang","raw_affiliation_strings":["Alibaba Group, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013188461","display_name":"Zhenglu Yang","orcid":"https://orcid.org/0000-0001-9528-965X"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhenglu Yang","raw_affiliation_strings":["School of Computer Science, Nankai University, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Nankai University, China","institution_ids":["https://openalex.org/I205237279"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5013188461"],"corresponding_institution_ids":["https://openalex.org/I205237279"],"apc_list":null,"apc_paid":null,"fwci":1.7359,"has_fulltext":true,"cited_by_count":16,"citation_normalized_percentile":{"value":0.88820931,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1222","last_page":"1228"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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/T10181","display_name":"Natural Language Processing Techniques","score":0.9990000128746033,"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":0.9977999925613403,"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":0.9265790581703186},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.818778395652771},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6666852235794067},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5000121593475342},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.42670392990112305},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.41846993565559387},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.4094848334789276},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.34799742698669434},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08006596565246582}],"concepts":[{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.9265790581703186},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.818778395652771},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6666852235794067},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5000121593475342},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.42670392990112305},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.41846993565559387},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.4094848334789276},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.34799742698669434},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08006596565246582},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.18653/v1/d19-1117","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-1117","pdf_url":"https://www.aclweb.org/anthology/D19-1117.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 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1910.11491","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1910.11491","pdf_url":"https://arxiv.org/pdf/1910.11491","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"doi:10.18653/v1/d19-1117","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-1117","pdf_url":"https://www.aclweb.org/anthology/D19-1117.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 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2971281012.pdf","grobid_xml":"https://content.openalex.org/works/W2971281012.grobid-xml"},"referenced_works_count":31,"referenced_works":["https://openalex.org/W1514535095","https://openalex.org/W1544827683","https://openalex.org/W2067681708","https://openalex.org/W2130942839","https://openalex.org/W2133459682","https://openalex.org/W2133564696","https://openalex.org/W2154652894","https://openalex.org/W2507756961","https://openalex.org/W2573425638","https://openalex.org/W2574535369","https://openalex.org/W2606974598","https://openalex.org/W2612675303","https://openalex.org/W2741375528","https://openalex.org/W2799149803","https://openalex.org/W2889518897","https://openalex.org/W2890909908","https://openalex.org/W2891526960","https://openalex.org/W2896807716","https://openalex.org/W2901382504","https://openalex.org/W2949615363","https://openalex.org/W2952138241","https://openalex.org/W2962849707","https://openalex.org/W2962965405","https://openalex.org/W2962985882","https://openalex.org/W2963026017","https://openalex.org/W2963251530","https://openalex.org/W2963260202","https://openalex.org/W2963385935","https://openalex.org/W2963768805","https://openalex.org/W2963929190","https://openalex.org/W2964308564"],"related_works":["https://openalex.org/W2366403280","https://openalex.org/W1495108544","https://openalex.org/W2091301346","https://openalex.org/W3148229873","https://openalex.org/W4389760904","https://openalex.org/W2150160875","https://openalex.org/W4242223894","https://openalex.org/W4226226396","https://openalex.org/W3153750606","https://openalex.org/W4308854837"],"abstract_inverted_index":{"Min":[0],"Gui,":[1],"Junfeng":[2],"Tian,":[3],"Rui":[4],"Wang,":[5],"Zhenglu":[6],"Yang.":[7],"Proceedings":[8],"of":[9],"the":[10,21],"2019":[11],"Conference":[12,25],"on":[13,26],"Empirical":[14],"Methods":[15],"in":[16],"Natural":[17,27],"Language":[18,28],"Processing":[19,29],"and":[20],"9th":[22],"International":[23],"Joint":[24],"(EMNLP-IJCNLP).":[30],"2019.":[31]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":5}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}