{"id":"https://openalex.org/W2891939431","doi":"https://doi.org/10.18653/v1/d18-1117","title":"A Dataset for Telling the Stories of Social Media Videos","display_name":"A Dataset for Telling the Stories of Social Media Videos","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2891939431","doi":"https://doi.org/10.18653/v1/d18-1117","mag":"2891939431"},"language":"en","primary_location":{"id":"doi:10.18653/v1/d18-1117","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d18-1117","pdf_url":"https://www.aclweb.org/anthology/D18-1117.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 2018 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/D18-1117.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5041111343","display_name":"Spandana Gella","orcid":"https://orcid.org/0000-0003-2725-4476"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Spandana Gella","raw_affiliation_strings":["University of Edinburgh,"],"affiliations":[{"raw_affiliation_string":"University of Edinburgh,","institution_ids":["https://openalex.org/I98677209"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004412943","display_name":"Mike Lewis","orcid":"https://orcid.org/0000-0003-0679-6612"},"institutions":[{"id":"https://openalex.org/I2252078561","display_name":"Meta (Israel)","ror":"https://ror.org/02388em19","country_code":"IL","type":"company","lineage":["https://openalex.org/I2252078561","https://openalex.org/I4210114444"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Mike Lewis","raw_affiliation_strings":["Facebook AI Research"],"affiliations":[{"raw_affiliation_string":"Facebook AI Research","institution_ids":["https://openalex.org/I2252078561"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024481540","display_name":"Marcus Rohrbach","orcid":"https://orcid.org/0000-0001-5908-7751"},"institutions":[{"id":"https://openalex.org/I2252078561","display_name":"Meta (Israel)","ror":"https://ror.org/02388em19","country_code":"IL","type":"company","lineage":["https://openalex.org/I2252078561","https://openalex.org/I4210114444"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Marcus Rohrbach","raw_affiliation_strings":["Facebook AI Research"],"affiliations":[{"raw_affiliation_string":"Facebook AI Research","institution_ids":["https://openalex.org/I2252078561"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5041111343"],"corresponding_institution_ids":["https://openalex.org/I98677209"],"apc_list":null,"apc_paid":null,"fwci":4.8051,"has_fulltext":true,"cited_by_count":72,"citation_normalized_percentile":{"value":0.96491581,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"968","last_page":"974"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9998999834060669,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9998999834060669,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9965999722480774,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9918000102043152,"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":0.7954303622245789},{"id":"https://openalex.org/keywords/bridging","display_name":"Bridging (networking)","score":0.7605448961257935},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.6747262477874756},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.6615175008773804},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.5306856632232666},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.3135107159614563},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2836480736732483},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.08793318271636963}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7954303622245789},{"id":"https://openalex.org/C174348530","wikidata":"https://www.wikidata.org/wiki/Q188635","display_name":"Bridging (networking)","level":2,"score":0.7605448961257935},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.6747262477874756},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.6615175008773804},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.5306856632232666},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3135107159614563},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2836480736732483},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.08793318271636963}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/d18-1117","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d18-1117","pdf_url":"https://www.aclweb.org/anthology/D18-1117.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 2018 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/d18-1117","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d18-1117","pdf_url":"https://www.aclweb.org/anthology/D18-1117.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 2018 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.7699999809265137}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2891939431.pdf","grobid_xml":"https://content.openalex.org/works/W2891939431.grobid-xml"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W1572567476","https://openalex.org/W1596841185","https://openalex.org/W1895577753","https://openalex.org/W1956340063","https://openalex.org/W1987366351","https://openalex.org/W1995820507","https://openalex.org/W2078238240","https://openalex.org/W2101105183","https://openalex.org/W2111078031","https://openalex.org/W2123301721","https://openalex.org/W2139501017","https://openalex.org/W2154652894","https://openalex.org/W2164290393","https://openalex.org/W2194775991","https://openalex.org/W2335943242","https://openalex.org/W2337252826","https://openalex.org/W2425121537","https://openalex.org/W2549599535","https://openalex.org/W2619947201","https://openalex.org/W2743945814","https://openalex.org/W2784025607","https://openalex.org/W2893578842","https://openalex.org/W2914699769","https://openalex.org/W2952132648","https://openalex.org/W2962934715","https://openalex.org/W2963293463","https://openalex.org/W2963351113","https://openalex.org/W2963916161","https://openalex.org/W2963919999","https://openalex.org/W2964199361","https://openalex.org/W2964335490","https://openalex.org/W4299838440","https://openalex.org/W4301442932"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W4388870064","https://openalex.org/W4235186151","https://openalex.org/W2054685365","https://openalex.org/W2272354214","https://openalex.org/W2120383820","https://openalex.org/W2043010663","https://openalex.org/W2667588871","https://openalex.org/W4248308508","https://openalex.org/W118554674"],"abstract_inverted_index":{"Video":[0],"content":[1],"on":[2,99],"social":[3,101],"media":[4,102],"platforms":[5],"constitutes":[6],"a":[7,34,69,77,100],"major":[8],"part":[9],"of":[10,53,108],"the":[11,48,116],"communication":[12],"between":[13],"people,":[14],"as":[15,76],"it":[16],"allows":[17],"everyone":[18],"to":[19,28,33,90,105,115],"share":[20],"their":[21,42],"stories.":[22],"However,":[23],"if":[24],"someone":[25],"is":[26,88],"unable":[27],"consume":[29],"video,":[30],"either":[31],"due":[32],"disability":[35],"or":[36],"network":[37],"bandwidth,":[38],"this":[39,58],"severely":[40],"limits":[41],"participation":[43],"and":[44,62,93],"communication.":[45],"Automatically":[46],"telling":[47],"stories":[49],"using":[50],"multi-sentence":[51],"descriptions":[52],"videos":[54,96],"would":[55],"allow":[56],"bridging":[57],"gap.":[59],"To":[60],"learn":[61],"evaluate":[63],"such":[64],"models,":[65],"we":[66],"introduce":[67],"VideoStory,":[68],"new":[70,78],"large-scale":[71],"dataset":[72,87],"for":[73,80],"video":[74,82,109],"description":[75],"challenge":[79],"multisentence":[81],"description.":[83],"Our":[84],"VideoStory":[85],"captions":[86],"complementary":[89],"prior":[91],"work":[92],"contains":[94],"20k":[95],"posted":[97],"publicly":[98],"platform":[103],"amounting":[104],"396":[106],"hours":[107],"with":[110],"123k":[111],"sentences,":[112],"temporally":[113],"aligned":[114],"video.":[117]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":20},{"year":2020,"cited_by_count":17},{"year":2019,"cited_by_count":9}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
