{"id":"https://openalex.org/W4382284470","doi":"https://doi.org/10.1145/3584871.3584874","title":"An Extractive\u00a0Text\u00a0Summarization Based on Reinforcement Learning","display_name":"An Extractive\u00a0Text\u00a0Summarization Based on Reinforcement Learning","publication_year":2023,"publication_date":"2023-01-31","ids":{"openalex":"https://openalex.org/W4382284470","doi":"https://doi.org/10.1145/3584871.3584874"},"language":"en","primary_location":{"id":"doi:10.1145/3584871.3584874","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3584871.3584874","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 The 6th International Conference on Software Engineering and Information Management","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101652393","display_name":"Kai Du","orcid":"https://orcid.org/0009-0001-8584-766X"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Du","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China, China"],"raw_orcid":"https://orcid.org/0009-0001-8584-766X","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000444026","display_name":"Guoming Lu","orcid":"https://orcid.org/0000-0001-7477-5800"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoming Lu","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China, China"],"raw_orcid":"https://orcid.org/0000-0001-7477-5800","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070150374","display_name":"Ke Qin","orcid":"https://orcid.org/0000-0001-6174-3877"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ke Qin","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China, China"],"raw_orcid":"https://orcid.org/0000-0001-6174-3877","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":0.4839,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.69848499,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"19","last_page":"25"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9988999962806702,"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":0.9988999962806702,"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":0.9897000193595886,"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/T13910","display_name":"Computational and Text Analysis Methods","score":0.982699990272522,"subfield":{"id":"https://openalex.org/subfields/3300","display_name":"General Social Sciences"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/automatic-summarization","display_name":"Automatic summarization","score":0.963529646396637},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8321826457977295},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.7154303789138794},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.6825660467147827},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5322185754776001},{"id":"https://openalex.org/keywords/text-graph","display_name":"Text graph","score":0.5221377015113831},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5091773867607117},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4344188868999481},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.35678648948669434},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.35330379009246826}],"concepts":[{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.963529646396637},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8321826457977295},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.7154303789138794},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.6825660467147827},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5322185754776001},{"id":"https://openalex.org/C66945725","wikidata":"https://www.wikidata.org/wiki/Q18388823","display_name":"Text graph","level":3,"score":0.5221377015113831},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5091773867607117},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4344188868999481},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.35678648948669434},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.35330379009246826},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3584871.3584874","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3584871.3584874","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 The 6th International Conference on Software Engineering and Information Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W55204438","https://openalex.org/W1502957213","https://openalex.org/W1981276685","https://openalex.org/W2597601064","https://openalex.org/W2740887992","https://openalex.org/W2790702239","https://openalex.org/W2899575547","https://openalex.org/W2952138241","https://openalex.org/W2963385935","https://openalex.org/W3198534342","https://openalex.org/W4205807230","https://openalex.org/W4365799947"],"related_works":["https://openalex.org/W2996251560","https://openalex.org/W2986470681","https://openalex.org/W2126232808","https://openalex.org/W4238363396","https://openalex.org/W2590756584","https://openalex.org/W4385234707","https://openalex.org/W4283069128","https://openalex.org/W2359511970","https://openalex.org/W4366964299","https://openalex.org/W3153082335"],"abstract_inverted_index":{"Abstract:":[0],"In":[1],"recent":[2],"years,":[3],"with":[4,55,70],"the":[5,28,35,71,88,95,100,109,117,122,126,129],"rapid":[6],"development":[7],"of":[8,37,102,128],"network":[9,12],"information":[10,14,24,41,66],"technology,":[11],"text":[13,31,47,50,64,80,90],"also":[15],"presents":[16],"an":[17,22,78],"explosive":[18],"growth":[19],"trend.":[20],"As":[21],"efficient":[23],"processing":[25],"technology":[26],"in":[27,42,45,61],"digital":[29],"age,":[30],"summarization":[32,51,81],"can":[33],"bring":[34],"advantage":[36],"focusing":[38],"on":[39,119],"key":[40],"all":[43],"directions":[44],"massive":[46],"information.":[48],"However,":[49],"is":[52],"still":[53],"faced":[54],"some":[56],"problems":[57],"such":[58],"as":[59],"difficulty":[60],"extracting":[62],"long":[63,89],"and":[65,93,121],"redundancy.":[67],"Therefore,":[68],"combining":[69],"deep":[72],"learning":[73,85],"framework,":[74],"this":[75],"paper":[76],"proposes":[77],"extractive":[79],"that":[82,113],"uses":[83,94],"reinforcement":[84],"to":[86,98],"optimize":[87],"extraction":[91],"process":[92],"attention":[96,131],"mechanism":[97],"achieve":[99],"effect":[101],"redundancy":[103],"removal.":[104],"On":[105],"CNN/Daily":[106],"Mail":[107],"datasets,":[108],"automatic":[110],"evaluation":[111],"shows":[112],"our":[114],"model":[115],"outperforms":[116],"previous":[118],"ROUGE,":[120],"ablation":[123],"experiment":[124],"proves":[125],"effectiveness":[127],"de-redundant":[130],"module.":[132]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
