{"id":"https://openalex.org/W3090149233","doi":"https://doi.org/10.1145/3399715.3399829","title":"Neural Data-Driven Captioning of Time-Series Line Charts","display_name":"Neural Data-Driven Captioning of Time-Series Line Charts","publication_year":2020,"publication_date":"2020-09-28","ids":{"openalex":"https://openalex.org/W3090149233","doi":"https://doi.org/10.1145/3399715.3399829","mag":"3090149233"},"language":"en","primary_location":{"id":"doi:10.1145/3399715.3399829","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3399715.3399829","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Advanced Visual Interfaces","raw_type":"proceedings-article"},"type":"conference-paper","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/A5012671378","display_name":"Andrea Spreafico","orcid":"https://orcid.org/0000-0001-9106-6811"},"institutions":[{"id":"https://openalex.org/I66752286","display_name":"University of Milano-Bicocca","ror":"https://ror.org/01ynf4891","country_code":"IT","type":"education","lineage":["https://openalex.org/I66752286"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Andrea Spreafico","raw_affiliation_strings":["University of Milano Bicocca, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Milano Bicocca, Italy","institution_ids":["https://openalex.org/I66752286"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049259877","display_name":"Giuseppe Carenini","orcid":"https://orcid.org/0000-0003-4310-0119"},"institutions":[{"id":"https://openalex.org/I141945490","display_name":"University of British Columbia","ror":"https://ror.org/03rmrcq20","country_code":"CA","type":"education","lineage":["https://openalex.org/I141945490"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Giuseppe Carenini","raw_affiliation_strings":["University of British Columbia, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of British Columbia, Canada","institution_ids":["https://openalex.org/I141945490"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.2815,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.8682411,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.9995999932289124,"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":0.9995999932289124,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9995999932289124,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9941999912261963,"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/closed-captioning","display_name":"Closed captioning","score":0.9821305274963379},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8270543217658997},{"id":"https://openalex.org/keywords/crowdsourcing","display_name":"Crowdsourcing","score":0.651107907295227},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5927267074584961},{"id":"https://openalex.org/keywords/chart","display_name":"Chart","score":0.574723482131958},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.5703502893447876},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5168826580047607},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4875149428844452},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.4729998707771301},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.47263333201408386},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.46213120222091675},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.44931405782699585},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4012492001056671},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3916488289833069},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3575274348258972},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.33835482597351074},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3296264410018921},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.1356830894947052}],"concepts":[{"id":"https://openalex.org/C157657479","wikidata":"https://www.wikidata.org/wiki/Q2367247","display_name":"Closed captioning","level":3,"score":0.9821305274963379},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8270543217658997},{"id":"https://openalex.org/C62230096","wikidata":"https://www.wikidata.org/wiki/Q275969","display_name":"Crowdsourcing","level":2,"score":0.651107907295227},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5927267074584961},{"id":"https://openalex.org/C190812933","wikidata":"https://www.wikidata.org/wiki/Q28923","display_name":"Chart","level":2,"score":0.574723482131958},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.5703502893447876},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5168826580047607},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4875149428844452},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.4729998707771301},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.47263333201408386},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.46213120222091675},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.44931405782699585},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4012492001056671},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3916488289833069},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3575274348258972},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.33835482597351074},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3296264410018921},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.1356830894947052},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3399715.3399829","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3399715.3399829","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Advanced Visual Interfaces","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W182831726","https://openalex.org/W195533127","https://openalex.org/W317957491","https://openalex.org/W884650706","https://openalex.org/W2038909631","https://openalex.org/W2158143121","https://openalex.org/W2470673105","https://openalex.org/W2886641317","https://openalex.org/W2888611489","https://openalex.org/W2888660171","https://openalex.org/W2898134908","https://openalex.org/W2963881378","https://openalex.org/W3004189960","https://openalex.org/W4299828299"],"related_works":["https://openalex.org/W4210416330","https://openalex.org/W2775506363","https://openalex.org/W3088136942","https://openalex.org/W3032998312","https://openalex.org/W135177976","https://openalex.org/W4290852288","https://openalex.org/W2949362007","https://openalex.org/W4283207562","https://openalex.org/W2963177403","https://openalex.org/W2330246314"],"abstract_inverted_index":{"The":[0],"success":[1],"of":[2,57],"neural":[3,36],"methods":[4],"for":[5,15,18],"image":[6],"captioning":[7],"suggests":[8],"that":[9,69],"similar":[10],"benefits":[11],"can":[12],"be":[13],"reaped":[14],"generating":[16],"captions":[17],"information":[19],"visualizations.":[20],"In":[21],"this":[22],"preliminary":[23],"study,":[24],"we":[25,61],"focus":[26],"on":[27],"the":[28,44,55],"very":[29],"popular":[30],"line":[31,51],"charts.":[32],"We":[33],"propose":[34],"a":[35,50,63],"model":[37,71],"which":[38],"aims":[39],"to":[40,48,54],"generate":[41],"text":[42],"from":[43],"same":[45],"data":[46],"used":[47],"create":[49],"chart.":[52],"Due":[53],"lack":[56],"suitable":[58],"training":[59],"corpora,":[60],"collected":[62],"dataset":[64],"through":[65],"crowdsourcing.":[66],"Experiments":[67],"indicate":[68],"our":[70],"outperforms":[72],"relatively":[73],"simple":[74],"non-neural":[75],"baselines.":[76]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
