{"id":"https://openalex.org/W4292760860","doi":"https://doi.org/10.1145/3526113.3545672","title":"Beyond Text Generation: Supporting Writers with Continuous Automatic Text Summaries","display_name":"Beyond Text Generation: Supporting Writers with Continuous Automatic Text Summaries","publication_year":2022,"publication_date":"2022-10-28","ids":{"openalex":"https://openalex.org/W4292760860","doi":"https://doi.org/10.1145/3526113.3545672"},"language":"en","primary_location":{"id":"doi:10.1145/3526113.3545672","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3526113.3545672","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 35th Annual ACM Symposium on User Interface Software and Technology","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2208.09323","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5030009128","display_name":"Hai Dang","orcid":"https://orcid.org/0000-0003-3617-5657"},"institutions":[{"id":"https://openalex.org/I54009628","display_name":"University of Bayreuth","ror":"https://ror.org/0234wmv40","country_code":"DE","type":"education","lineage":["https://openalex.org/I54009628"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Hai Dang","raw_affiliation_strings":["Department of Computer Science, University of Bayreuth, Germany"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Bayreuth, Germany","institution_ids":["https://openalex.org/I54009628"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090298978","display_name":"Karim Benharrak","orcid":"https://orcid.org/0009-0002-3279-5664"},"institutions":[{"id":"https://openalex.org/I54009628","display_name":"University of Bayreuth","ror":"https://ror.org/0234wmv40","country_code":"DE","type":"education","lineage":["https://openalex.org/I54009628"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Karim Benharrak","raw_affiliation_strings":["Department of Computer Science, University of Bayreuth, Germany"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Bayreuth, Germany","institution_ids":["https://openalex.org/I54009628"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082329468","display_name":"Florian Lehmann","orcid":"https://orcid.org/0000-0003-0201-867X"},"institutions":[{"id":"https://openalex.org/I54009628","display_name":"University of Bayreuth","ror":"https://ror.org/0234wmv40","country_code":"DE","type":"education","lineage":["https://openalex.org/I54009628"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Florian Lehmann","raw_affiliation_strings":["Department of Computer Science, University of Bayreuth, Germany"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Bayreuth, Germany","institution_ids":["https://openalex.org/I54009628"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032594386","display_name":"Daniel Buschek","orcid":"https://orcid.org/0000-0002-0013-715X"},"institutions":[{"id":"https://openalex.org/I54009628","display_name":"University of Bayreuth","ror":"https://ror.org/0234wmv40","country_code":"DE","type":"education","lineage":["https://openalex.org/I54009628"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Daniel Buschek","raw_affiliation_strings":["Department of Computer Science, University of Bayreuth, Germany"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Bayreuth, Germany","institution_ids":["https://openalex.org/I54009628"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5030009128"],"corresponding_institution_ids":["https://openalex.org/I54009628"],"apc_list":null,"apc_paid":null,"fwci":10.411,"has_fulltext":false,"cited_by_count":81,"citation_normalized_percentile":{"value":0.98547162,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"13"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9990000128746033,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.998199999332428,"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":0.8714801073074341},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8290277719497681},{"id":"https://openalex.org/keywords/paragraph","display_name":"Paragraph","score":0.8105767369270325},{"id":"https://openalex.org/keywords/scope","display_name":"Scope (computer science)","score":0.675866961479187},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5874204039573669},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5432627201080322},{"id":"https://openalex.org/keywords/text-generation","display_name":"Text generation","score":0.531453013420105},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.5133737325668335},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.49246105551719666},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.49226632714271545},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4233153164386749},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.4110441505908966}],"concepts":[{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.8714801073074341},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8290277719497681},{"id":"https://openalex.org/C2777206241","wikidata":"https://www.wikidata.org/wiki/Q194431","display_name":"Paragraph","level":2,"score":0.8105767369270325},{"id":"https://openalex.org/C2778012447","wikidata":"https://www.wikidata.org/wiki/Q1034415","display_name":"Scope (computer science)","level":2,"score":0.675866961479187},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5874204039573669},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5432627201080322},{"id":"https://openalex.org/C2985684807","wikidata":"https://www.wikidata.org/wiki/Q1513879","display_name":"Text generation","level":2,"score":0.531453013420105},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.5133737325668335},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.49246105551719666},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.49226632714271545},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4233153164386749},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.4110441505908966},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3526113.3545672","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3526113.3545672","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 35th Annual ACM Symposium on User Interface Software and Technology","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2208.09323","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2208.09323","pdf_url":"https://arxiv.org/pdf/2208.09323","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"},{"id":"pmh:oai:eref.uni-bayreuth.de:71673","is_oa":false,"landing_page_url":"https://eref.uni-bayreuth.de/71673/","pdf_url":null,"source":{"id":"https://openalex.org/S4377196442","display_name":"ERef Bayreuth (University of Bayreuth)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I54009628","host_organization_name":"University of Bayreuth","host_organization_lineage":["https://openalex.org/I54009628"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Veranstaltungsbeitrag"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2208.09323","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2208.09323","pdf_url":"https://arxiv.org/pdf/2208.09323","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"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.8700000047683716,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":60,"referenced_works":["https://openalex.org/W1514520715","https://openalex.org/W1525595230","https://openalex.org/W1560738766","https://openalex.org/W1592309905","https://openalex.org/W1603598191","https://openalex.org/W1674613622","https://openalex.org/W2048207804","https://openalex.org/W2055248210","https://openalex.org/W2068989703","https://openalex.org/W2106518779","https://openalex.org/W2145756155","https://openalex.org/W2160061599","https://openalex.org/W2236262502","https://openalex.org/W2329223578","https://openalex.org/W2345610716","https://openalex.org/W2373570000","https://openalex.org/W2399327359","https://openalex.org/W2547774094","https://openalex.org/W2606974598","https://openalex.org/W2610781091","https://openalex.org/W2741986794","https://openalex.org/W2770595187","https://openalex.org/W2790165607","https://openalex.org/W2906463257","https://openalex.org/W2933377349","https://openalex.org/W2941884113","https://openalex.org/W2947160092","https://openalex.org/W2965962253","https://openalex.org/W2971034336","https://openalex.org/W2980850520","https://openalex.org/W3003486610","https://openalex.org/W3009091046","https://openalex.org/W3029313935","https://openalex.org/W3029893033","https://openalex.org/W3030637800","https://openalex.org/W3093820610","https://openalex.org/W3105899904","https://openalex.org/W3105992359","https://openalex.org/W3123978464","https://openalex.org/W3135247699","https://openalex.org/W3162821954","https://openalex.org/W3175938739","https://openalex.org/W3186905265","https://openalex.org/W3199492011","https://openalex.org/W3206316161","https://openalex.org/W3212389159","https://openalex.org/W4213435830","https://openalex.org/W4213451626","https://openalex.org/W4220747294","https://openalex.org/W4221055872","https://openalex.org/W4225012671","https://openalex.org/W4239019441","https://openalex.org/W4288089799","https://openalex.org/W4289489477","https://openalex.org/W4300126213","https://openalex.org/W4391002330","https://openalex.org/W4394748224","https://openalex.org/W4394950525","https://openalex.org/W6681325015","https://openalex.org/W7005745757"],"related_works":["https://openalex.org/W2377059580","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/W3010337296","https://openalex.org/W4206715480","https://openalex.org/W3162550545"],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2,41,70,76],"text":[3,27,114,150],"editor":[4],"to":[5,35,40,92,107,118],"help":[6],"users":[7,48,82],"plan,":[8],"structure":[9],"and":[10,61,73,89,96,115,130,152],"reflect":[11],"on":[12,86],"their":[13,87,99],"writing":[14,88],"process.":[15],"It":[16],"provides":[17],"continuously":[18],"updated":[19],"paragraph-wise":[20],"summaries":[21,80],"as":[22],"margin":[23],"annotations,":[24],"using":[25],"automatic":[26],"summarization.":[28],"Summary":[29],"levels":[30],"range":[31],"from":[32,121],"full":[33],"text,":[34],"selected":[36],"(central)":[37],"sentences,":[38],"down":[39],"collection":[42],"of":[43,98,112,134],"keywords.":[44],"To":[45],"understand":[46],"how":[47],"interact":[49],"with":[50,140],"this":[51,127],"system":[52],"during":[53],"writing,":[54],"we":[55],"conducted":[56],"two":[57],"user":[58],"studies":[59],"(N=4":[60],"N=8)":[62],"in":[63],"which":[64],"people":[65],"wrote":[66],"analytic":[67],"essays":[68],"about":[69],"given":[71],"topic":[72],"article.":[74],"As":[75],"key":[77],"finding,":[78],"the":[79,94,105,113,122,132],"gave":[81],"an":[83,110],"external":[84],"perspective":[85],"helped":[90],"them":[91],"revise":[93],"content":[95],"scope":[97],"drafted":[100],"paragraphs.":[101],"People":[102],"further":[103],"used":[104],"tool":[106],"quickly":[108],"gain":[109],"overview":[111],"developed":[116],"strategies":[117],"integrate":[119],"insights":[120],"automated":[123],"summaries.":[124],"More":[125],"broadly,":[126],"work":[128],"explores":[129],"highlights":[131],"value":[133],"designing":[135],"AI":[136],"tools":[137],"for":[138],"writers,":[139],"Natural":[141],"Language":[142],"Processing":[143],"(NLP)":[144],"capabilities":[145],"that":[146],"go":[147],"beyond":[148],"direct":[149],"generation":[151],"correction.":[153]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":33},{"year":2024,"cited_by_count":24},{"year":2023,"cited_by_count":18}],"updated_date":"2026-04-14T08:04:32.555800","created_date":"2022-08-23T00:00:00"}
