{"id":"https://openalex.org/W2902706465","doi":"https://doi.org/10.18653/v1/w18-6545","title":"Adapting Neural Single-Document Summarization Model for Abstractive Multi-Document Summarization: A Pilot Study","display_name":"Adapting Neural Single-Document Summarization Model for Abstractive Multi-Document Summarization: A Pilot Study","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2902706465","doi":"https://doi.org/10.18653/v1/w18-6545","mag":"2902706465"},"language":"en","primary_location":{"id":"doi:10.18653/v1/w18-6545","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w18-6545","pdf_url":"https://www.aclweb.org/anthology/W18-6545.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 11th International Conference on Natural Language Generation","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/W18-6545.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100444669","display_name":"Jianmin Zhang","orcid":"https://orcid.org/0000-0002-9154-231X"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210155092","display_name":"Czech Academy of Sciences, Institute of Computer Science","ror":"https://ror.org/0496n6574","country_code":"CZ","type":"facility","lineage":["https://openalex.org/I202391551","https://openalex.org/I4210155092"]}],"countries":["CN","CZ"],"is_corresponding":false,"raw_author_name":"Jianmin Zhang","raw_affiliation_strings":["Institute of Computer Science and Technology, Peking University The MOE Key Laboratory of Computational Linguistics, Peking University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computer Science and Technology, Peking University The MOE Key Laboratory of Computational Linguistics, Peking University","institution_ids":["https://openalex.org/I20231570","https://openalex.org/I4210155092"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077784320","display_name":"Jiwei Tan","orcid":"https://orcid.org/0009-0004-4028-5570"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210155092","display_name":"Czech Academy of Sciences, Institute of Computer Science","ror":"https://ror.org/0496n6574","country_code":"CZ","type":"facility","lineage":["https://openalex.org/I202391551","https://openalex.org/I4210155092"]}],"countries":["CN","CZ"],"is_corresponding":false,"raw_author_name":"Jiwei Tan","raw_affiliation_strings":["Institute of Computer Science and Technology, Peking University The MOE Key Laboratory of Computational Linguistics, Peking University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computer Science and Technology, Peking University The MOE Key Laboratory of Computational Linguistics, Peking University","institution_ids":["https://openalex.org/I20231570","https://openalex.org/I4210155092"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029568096","display_name":"Xiaojun Wan","orcid":"https://orcid.org/0000-0001-6887-1994"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210155092","display_name":"Czech Academy of Sciences, Institute of Computer Science","ror":"https://ror.org/0496n6574","country_code":"CZ","type":"facility","lineage":["https://openalex.org/I202391551","https://openalex.org/I4210155092"]}],"countries":["CN","CZ"],"is_corresponding":false,"raw_author_name":"Xiaojun Wan","raw_affiliation_strings":["Institute of Computer Science and Technology, Peking University The MOE Key Laboratory of Computational Linguistics, Peking University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computer Science and Technology, Peking University The MOE Key Laboratory of Computational Linguistics, Peking University","institution_ids":["https://openalex.org/I20231570","https://openalex.org/I4210155092"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":38,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"381","last_page":"390"},"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":0.9991999864578247,"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":0.983902633190155},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.858278751373291},{"id":"https://openalex.org/keywords/multi-document-summarization","display_name":"Multi-document summarization","score":0.7378674745559692},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7164515256881714},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.642913818359375},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.49434709548950195},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.47130855917930603},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4707430303096771},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.46596387028694153},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.43677547574043274},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.41694363951683044},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3570200502872467},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.04311639070510864}],"concepts":[{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.983902633190155},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.858278751373291},{"id":"https://openalex.org/C134714966","wikidata":"https://www.wikidata.org/wiki/Q6934448","display_name":"Multi-document summarization","level":3,"score":0.7378674745559692},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7164515256881714},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.642913818359375},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.49434709548950195},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.47130855917930603},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4707430303096771},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.46596387028694153},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.43677547574043274},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.41694363951683044},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3570200502872467},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.04311639070510864},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/w18-6545","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w18-6545","pdf_url":"https://www.aclweb.org/anthology/W18-6545.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 11th International Conference on Natural Language Generation","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/w18-6545","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w18-6545","pdf_url":"https://www.aclweb.org/anthology/W18-6545.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 11th International Conference on Natural Language Generation","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3544945854","display_name":"\u591a\u8bed\u8a00\u73af\u5883\u4e0b\u6587\u672c\u60c5\u611f\u8bed\u4e49\u8ba1\u7b97\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"61772036","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5182775224","display_name":"\u8de8\u8bed\u8a00\u793e\u4f1a\u8206\u60c5\u5206\u6790\u57fa\u7840\u7406\u8bba\u4e0e\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"61331011","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6792277218","display_name":null,"funder_award_id":"61772036, 61331011","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"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2902706465.pdf","grobid_xml":"https://content.openalex.org/works/W2902706465.grobid-xml"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1525595230","https://openalex.org/W1537217019","https://openalex.org/W1854214752","https://openalex.org/W1959120443","https://openalex.org/W1976507745","https://openalex.org/W2051618067","https://openalex.org/W2064675550","https://openalex.org/W2083305840","https://openalex.org/W2083778364","https://openalex.org/W2114146928","https://openalex.org/W2115613106","https://openalex.org/W2119706777","https://openalex.org/W2128672521","https://openalex.org/W2133564696","https://openalex.org/W2150824314","https://openalex.org/W2152992673","https://openalex.org/W2252115056","https://openalex.org/W2317879529","https://openalex.org/W2467173223","https://openalex.org/W2598569220","https://openalex.org/W2606974598","https://openalex.org/W2612675303","https://openalex.org/W2740801750","https://openalex.org/W2740888353","https://openalex.org/W2741375528","https://openalex.org/W2785076661","https://openalex.org/W2953285682","https://openalex.org/W2962965405","https://openalex.org/W2963045354","https://openalex.org/W2963929190","https://openalex.org/W2963986868","https://openalex.org/W2964121744","https://openalex.org/W2964308564","https://openalex.org/W3101913037","https://openalex.org/W4293583643","https://openalex.org/W4322422052"],"related_works":["https://openalex.org/W2104677027","https://openalex.org/W3164984162","https://openalex.org/W2902627734","https://openalex.org/W2112885393","https://openalex.org/W1990695371","https://openalex.org/W2173208124","https://openalex.org/W2568827738","https://openalex.org/W2099859325","https://openalex.org/W2365100044","https://openalex.org/W2474342320"],"abstract_inverted_index":{"Till":[0],"now,":[1],"neural":[2,40,49,62,107],"abstractive":[3,41,50,63],"summarization":[4,13,33,51],"methods":[5,26,42],"have":[6],"achieved":[7],"great":[8],"success":[9],"for":[10,43,53,87],"single":[11],"document":[12],"(SDS).":[14],"However,":[15],"due":[16],"to":[17,31,59,71],"the":[18,61,72],"lack":[19],"of":[20,80,84,105],"large":[21,67],"scale":[22,68],"multi-document":[23,32,85],"summaries,":[24],"such":[25],"can":[27,101],"be":[28],"hardly":[29],"applied":[30],"(MDS).":[34],"In":[35],"this":[36],"paper,":[37],"we":[38],"investigate":[39],"MDS":[44,73],"by":[45],"adapting":[46],"a":[47,81,103],"state-of-the-art":[48],"model":[52,64],"SDS.":[54],"We":[55],"propose":[56],"an":[57],"approach":[58,76,100],"extend":[60],"trained":[65],"on":[66,92],"SDS":[69],"data":[70],"task.":[74],"Our":[75],"only":[77],"makes":[78],"use":[79],"small":[82],"number":[83],"summaries":[86],"fine":[88],"tuning.":[89],"Experimental":[90],"results":[91],"two":[93],"benchmark":[94],"DUC":[95],"datasets":[96],"demonstrate":[97],"that":[98],"our":[99],"outperform":[102],"variety":[104],"baseline":[106],"models.":[108]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
