{"id":"https://openalex.org/W2995089337","doi":"https://doi.org/10.18653/v1/w19-8666","title":"Towards Summarization for Social Media - Results of the TL;DR Challenge","display_name":"Towards Summarization for Social Media - Results of the TL;DR Challenge","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2995089337","doi":"https://doi.org/10.18653/v1/w19-8666","mag":"2995089337"},"language":"en","primary_location":{"id":"doi:10.18653/v1/w19-8666","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w19-8666","pdf_url":"https://www.aclweb.org/anthology/W19-8666.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 12th International Conference on Natural Language Generation","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/W19-8666.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5004664764","display_name":"Shahbaz Syed","orcid":"https://orcid.org/0000-0002-4821-1507"},"institutions":[{"id":"https://openalex.org/I926574661","display_name":"Leipzig University","ror":"https://ror.org/03s7gtk40","country_code":"DE","type":"education","lineage":["https://openalex.org/I926574661"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Shahbaz Syed","raw_affiliation_strings":["Leipzig University"],"affiliations":[{"raw_affiliation_string":"Leipzig University","institution_ids":["https://openalex.org/I926574661"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037682495","display_name":"Michael V\u00f6lske","orcid":"https://orcid.org/0000-0002-9283-6846"},"institutions":[{"id":"https://openalex.org/I51441396","display_name":"Bauhaus-Universit\u00e4t Weimar","ror":"https://ror.org/033bb5z47","country_code":"DE","type":"education","lineage":["https://openalex.org/I51441396"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Michael V\u00f6lske","raw_affiliation_strings":["Bauhaus-Universit\u00e4t Weimar"],"affiliations":[{"raw_affiliation_string":"Bauhaus-Universit\u00e4t Weimar","institution_ids":["https://openalex.org/I51441396"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016933602","display_name":"Nedim Lipka","orcid":"https://orcid.org/0000-0002-3779-7784"},"institutions":[{"id":"https://openalex.org/I8204097","display_name":"Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen","ror":"https://ror.org/05591te55","country_code":"DE","type":"education","lineage":["https://openalex.org/I8204097"]},{"id":"https://openalex.org/I1306409833","display_name":"Adobe Systems (United States)","ror":"https://ror.org/059tvcg64","country_code":"US","type":"company","lineage":["https://openalex.org/I1306409833"]}],"countries":["DE","US"],"is_corresponding":false,"raw_author_name":"Nedim Lipka","raw_affiliation_strings":["Adobe Research d LMU Munich"],"affiliations":[{"raw_affiliation_string":"Adobe Research d LMU Munich","institution_ids":["https://openalex.org/I8204097","https://openalex.org/I1306409833"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027915931","display_name":"Benno Stein","orcid":"https://orcid.org/0000-0001-9033-2217"},"institutions":[{"id":"https://openalex.org/I51441396","display_name":"Bauhaus-Universit\u00e4t Weimar","ror":"https://ror.org/033bb5z47","country_code":"DE","type":"education","lineage":["https://openalex.org/I51441396"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Benno Stein","raw_affiliation_strings":["Bauhaus-Universitt Weimar","Bauhaus-Universit\u00e4t Weimar"],"affiliations":[{"raw_affiliation_string":"Bauhaus-Universitt Weimar","institution_ids":["https://openalex.org/I51441396"]},{"raw_affiliation_string":"Bauhaus-Universit\u00e4t Weimar","institution_ids":["https://openalex.org/I51441396"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071144367","display_name":"Hinrich Sch\u00fctze","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hinrich Sch\u00fctze","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5083712311","display_name":"Martin Potthast","orcid":"https://orcid.org/0000-0003-2451-0665"},"institutions":[{"id":"https://openalex.org/I926574661","display_name":"Leipzig University","ror":"https://ror.org/03s7gtk40","country_code":"DE","type":"education","lineage":["https://openalex.org/I926574661"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Martin Potthast","raw_affiliation_strings":["Leipzig University"],"affiliations":[{"raw_affiliation_string":"Leipzig University","institution_ids":["https://openalex.org/I926574661"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5004664764"],"corresponding_institution_ids":["https://openalex.org/I926574661"],"apc_list":null,"apc_paid":null,"fwci":0.8401,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":{"value":0.81012101,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"523","last_page":"528"},"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":0.9991000294685364,"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":0.9984999895095825,"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":0.9622212052345276},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7086175680160522},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.7026029825210571},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.44382524490356445},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.41728585958480835},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.33210644125938416},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.2923886775970459}],"concepts":[{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.9622212052345276},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7086175680160522},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.7026029825210571},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.44382524490356445},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.41728585958480835},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.33210644125938416},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.2923886775970459}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/w19-8666","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w19-8666","pdf_url":"https://www.aclweb.org/anthology/W19-8666.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 12th International Conference on Natural Language Generation","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/w19-8666","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w19-8666","pdf_url":"https://www.aclweb.org/anthology/W19-8666.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 12th International Conference on Natural Language Generation","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2995089337.pdf","grobid_xml":"https://content.openalex.org/works/W2995089337.grobid-xml"},"referenced_works_count":16,"referenced_works":["https://openalex.org/W1530435204","https://openalex.org/W2033742589","https://openalex.org/W2102065370","https://openalex.org/W2154652894","https://openalex.org/W2158751803","https://openalex.org/W2250332012","https://openalex.org/W2606974598","https://openalex.org/W2741672218","https://openalex.org/W2760781482","https://openalex.org/W2902744721","https://openalex.org/W2903536718","https://openalex.org/W2962965405","https://openalex.org/W2963607157","https://openalex.org/W2969044820","https://openalex.org/W2991605991","https://openalex.org/W2995559676"],"related_works":["https://openalex.org/W2748952813","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/W4306886878","https://openalex.org/W2888780092"],"abstract_inverted_index":{"With":[0],"most":[1],"summarization":[2,75],"research":[3],"focused":[4],"on":[5,35,41,46,81],"the":[6,16,19,22,30,36,49,87,90,98,103,112],"news":[7],"domain":[8],"and":[9,44,58,92],"scientific":[10],"papers,":[11],"little":[12],"is":[13,38,60],"known":[14],"about":[15],"capabilities":[17],"of":[18,21,33,48,52,89,97,106],"state":[20],"art":[23],"at":[24],"summarizing":[25],"more":[26],"informal":[27],"text.":[28],"Today,":[29],"vast":[31],"majority":[32],"text":[34],"web":[37],"informally":[39],"written":[40],"social":[42,78],"media,":[43,79],"staying":[45],"top":[47],"fast-paced":[50],"stream":[51],"posts":[53],"originating":[54],"from":[55],"one's":[56],"subscriptions":[57],"followees":[59],"a":[61,69,107],"burden":[62],"to":[63],"many.":[64],"The":[65],"TL;DR":[66],"challenge":[67,91],"marks":[68],"first":[70],"step":[71],"towards":[72],"developing":[73],"new":[74],"technology":[76],"for":[77],"focusing":[80],"abstractive":[82],"summarization.":[83],"This":[84],"paper":[85],"reports":[86],"results":[88],"describes":[93],"our":[94],"manual":[95],"evaluation":[96],"submissions.":[99],"Finally,":[100],"we":[101],"discuss":[102],"expected":[104],"properties":[105],"good":[108],"summary":[109],"after":[110],"analyzing":[111],"comments":[113],"provided":[114],"by":[115],"human":[116],"annotators.":[117]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
