{"id":"https://openalex.org/W1987531039","doi":"https://doi.org/10.1109/tkde.2014.2359652","title":"PPSGen: Learning-Based Presentation Slides Generation for Academic Papers","display_name":"PPSGen: Learning-Based Presentation Slides Generation for Academic Papers","publication_year":2014,"publication_date":"2014-09-22","ids":{"openalex":"https://openalex.org/W1987531039","doi":"https://doi.org/10.1109/tkde.2014.2359652","mag":"1987531039"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2014.2359652","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2014.2359652","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-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/A5027322900","display_name":"Yue Hu","orcid":"https://orcid.org/0000-0001-9441-069X"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Hu","raw_affiliation_strings":["Institute of Computer Science and Technology, Peking University, Beijing, China","Institute of Computer Science and Technology, The MOE Key Laboratory of Computational Linguistics, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computer Science and Technology, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Institute of Computer Science and Technology, The MOE Key Laboratory of Computational Linguistics, Beijing, China","institution_ids":[]}]},{"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaojun Wan","raw_affiliation_strings":["Institute of Computer Science and Technology, Peking University, Beijing, China","Institute of Computer Science and Technology, The MOE Key Laboratory of Computational Linguistics, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computer Science and Technology, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Institute of Computer Science and Technology, The MOE Key Laboratory of Computational Linguistics, Beijing, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":2.6687,"has_fulltext":false,"cited_by_count":43,"citation_normalized_percentile":{"value":0.91867364,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"27","issue":"4","first_page":"1085","last_page":"1097"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11439","display_name":"Video Analysis and Summarization","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T12720","display_name":"Multimedia Communication and Technology","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9914000034332275,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/computer-science","display_name":"Computer science","score":0.8905565738677979},{"id":"https://openalex.org/keywords/presentation","display_name":"Presentation (obstetrics)","score":0.7289009690284729},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.7020108103752136},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.5800611972808838},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.563132107257843},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5387161374092102},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5349762439727783},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5295119285583496},{"id":"https://openalex.org/keywords/integer-programming","display_name":"Integer programming","score":0.43861424922943115},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.42457345128059387},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4225200116634369},{"id":"https://openalex.org/keywords/inductive-logic-programming","display_name":"Inductive logic programming","score":0.4158724546432495},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36446207761764526},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.2121461033821106},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.13318681716918945}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8905565738677979},{"id":"https://openalex.org/C2777601897","wikidata":"https://www.wikidata.org/wiki/Q3409113","display_name":"Presentation (obstetrics)","level":2,"score":0.7289009690284729},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.7020108103752136},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.5800611972808838},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.563132107257843},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5387161374092102},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5349762439727783},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5295119285583496},{"id":"https://openalex.org/C56086750","wikidata":"https://www.wikidata.org/wiki/Q6042592","display_name":"Integer programming","level":2,"score":0.43861424922943115},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.42457345128059387},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4225200116634369},{"id":"https://openalex.org/C2779382394","wikidata":"https://www.wikidata.org/wiki/Q1464197","display_name":"Inductive logic programming","level":2,"score":0.4158724546432495},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36446207761764526},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.2121461033821106},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.13318681716918945},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2014.2359652","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2014.2359652","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7200000286102295,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G4525161285","display_name":"\u9762\u5411\u5b66\u672f\u6587\u732e\u7684\u77e5\u8bc6\u63d0\u53d6\u4e0e\u603b\u7ed3\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"61170166","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/G8401592825","display_name":null,"funder_award_id":"2008B03","funder_id":"https://openalex.org/F4320334978","funder_display_name":"Beijing Nova Program"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320334978","display_name":"Beijing Nova Program","ror":"https://ror.org/034k14f91"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":70,"referenced_works":["https://openalex.org/W42510783","https://openalex.org/W179757531","https://openalex.org/W190551096","https://openalex.org/W203200994","https://openalex.org/W311829520","https://openalex.org/W1496674720","https://openalex.org/W1573514622","https://openalex.org/W1577705723","https://openalex.org/W1588495139","https://openalex.org/W1602831581","https://openalex.org/W1677012324","https://openalex.org/W1854214752","https://openalex.org/W1959120443","https://openalex.org/W1965317094","https://openalex.org/W1974339500","https://openalex.org/W1983692825","https://openalex.org/W1983969454","https://openalex.org/W2022365295","https://openalex.org/W2032175749","https://openalex.org/W2047940964","https://openalex.org/W2050715302","https://openalex.org/W2054211469","https://openalex.org/W2092246763","https://openalex.org/W2097433297","https://openalex.org/W2102065370","https://openalex.org/W2105426827","https://openalex.org/W2107858678","https://openalex.org/W2110693578","https://openalex.org/W2120854308","https://openalex.org/W2122311631","https://openalex.org/W2125028118","https://openalex.org/W2146593092","https://openalex.org/W2148603752","https://openalex.org/W2149801561","https://openalex.org/W2150869743","https://openalex.org/W2152397572","https://openalex.org/W2152992673","https://openalex.org/W2153568396","https://openalex.org/W2153635508","https://openalex.org/W2154652894","https://openalex.org/W2157979304","https://openalex.org/W2160992478","https://openalex.org/W2166347079","https://openalex.org/W2250327935","https://openalex.org/W2251548544","https://openalex.org/W2540278800","https://openalex.org/W3088311774","https://openalex.org/W3099883129","https://openalex.org/W3101913037","https://openalex.org/W6601717460","https://openalex.org/W6607347464","https://openalex.org/W6607753342","https://openalex.org/W6608259112","https://openalex.org/W6610915579","https://openalex.org/W6634065907","https://openalex.org/W6635893528","https://openalex.org/W6637322668","https://openalex.org/W6639055396","https://openalex.org/W6640664833","https://openalex.org/W6641594683","https://openalex.org/W6674642055","https://openalex.org/W6675323542","https://openalex.org/W6676453607","https://openalex.org/W6678058604","https://openalex.org/W6678888033","https://openalex.org/W6682318813","https://openalex.org/W6682631176","https://openalex.org/W6691272240","https://openalex.org/W6691446132","https://openalex.org/W6784437298"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W1590307681","https://openalex.org/W2536018345","https://openalex.org/W4312814274","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312","https://openalex.org/W2353836703"],"abstract_inverted_index":{"In":[0],"this":[1,47],"paper,":[2,66],"we":[3],"investigate":[4],"a":[5,35,91,128],"very":[6],"challenging":[7],"task":[8],"of":[9,60,94,97],"automatically":[10],"generating":[11],"presentation":[12,19],"slides":[13,20,33,79,100,113],"for":[14],"academic":[15,65],"papers.":[16],"The":[17],"generated":[18],"can":[21,111],"be":[22],"used":[23],"as":[24],"drafts":[25],"to":[26,45,55,76,123],"help":[27],"the":[28,52,57,61,70,103],"presenters":[29],"prepare":[30],"their":[31],"formal":[32],"in":[34,63],"quicker":[36],"way.":[37],"A":[38,117],"novel":[39],"system":[40,110],"called":[41],"PPSGen":[42,109,126],"is":[43,120],"proposed":[44,108],"address":[46],"task.":[48],"It":[49],"first":[50],"employs":[51],"regression":[53],"method":[54,75],"learn":[56],"importance":[58],"scores":[59],"sentences":[62],"an":[64],"and":[67,82,86,99],"then":[68],"exploits":[69],"integer":[71],"linear":[72],"programming":[73],"(ILP)":[74],"generate":[77,112],"well-structured":[78],"by":[80],"selecting":[81],"aligning":[83],"key":[84],"phrases":[85],"sentences.":[87],"Evaluation":[88],"results":[89],"on":[90,102],"test":[92],"set":[93],"200":[95],"pairs":[96],"papers":[98],"collected":[101],"web":[104],"demonstrate":[105],"that":[106,125],"our":[107],"with":[114],"better":[115],"quality.":[116],"user":[118],"study":[119],"also":[121],"illustrated":[122],"show":[124],"has":[127],"few":[129],"evident":[130],"advantages":[131],"over":[132],"baseline":[133],"methods.":[134]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":4},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
