{"id":"https://openalex.org/W4408354309","doi":"https://doi.org/10.1109/icassp49660.2025.10888432","title":"Domain-Independent Automatic Generation of Descriptive Texts for Time-Series Data","display_name":"Domain-Independent Automatic Generation of Descriptive Texts for Time-Series Data","publication_year":2025,"publication_date":"2025-03-12","ids":{"openalex":"https://openalex.org/W4408354309","doi":"https://doi.org/10.1109/icassp49660.2025.10888432"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49660.2025.10888432","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10888432","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-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/A5004979745","display_name":"Kota Dohi","orcid":"https://orcid.org/0000-0001-6478-6792"},"institutions":[{"id":"https://openalex.org/I65143321","display_name":"Hitachi (Japan)","ror":"https://ror.org/02exqgm79","country_code":"JP","type":"company","lineage":["https://openalex.org/I65143321"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Kota Dohi","raw_affiliation_strings":["Hitachi Ltd.,R&D Group"],"affiliations":[{"raw_affiliation_string":"Hitachi Ltd.,R&D Group","institution_ids":["https://openalex.org/I65143321"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101926797","display_name":"Akihiko Ito","orcid":"https://orcid.org/0000-0001-5265-0791"},"institutions":[{"id":"https://openalex.org/I65143321","display_name":"Hitachi (Japan)","ror":"https://ror.org/02exqgm79","country_code":"JP","type":"company","lineage":["https://openalex.org/I65143321"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Aoi Ito","raw_affiliation_strings":["Hitachi Ltd.,R&D Group"],"affiliations":[{"raw_affiliation_string":"Hitachi Ltd.,R&D Group","institution_ids":["https://openalex.org/I65143321"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110952925","display_name":"Harsh Purohit","orcid":null},"institutions":[{"id":"https://openalex.org/I65143321","display_name":"Hitachi (Japan)","ror":"https://ror.org/02exqgm79","country_code":"JP","type":"company","lineage":["https://openalex.org/I65143321"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Harsh Purohit","raw_affiliation_strings":["Hitachi Ltd.,R&D Group"],"affiliations":[{"raw_affiliation_string":"Hitachi Ltd.,R&D Group","institution_ids":["https://openalex.org/I65143321"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040972515","display_name":"Tomoya Nishida","orcid":"https://orcid.org/0000-0002-1969-2268"},"institutions":[{"id":"https://openalex.org/I65143321","display_name":"Hitachi (Japan)","ror":"https://ror.org/02exqgm79","country_code":"JP","type":"company","lineage":["https://openalex.org/I65143321"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tomoya Nishida","raw_affiliation_strings":["Hitachi Ltd.,R&D Group"],"affiliations":[{"raw_affiliation_string":"Hitachi Ltd.,R&D Group","institution_ids":["https://openalex.org/I65143321"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102765536","display_name":"Takashi Endo","orcid":"https://orcid.org/0000-0002-9857-1869"},"institutions":[{"id":"https://openalex.org/I65143321","display_name":"Hitachi (Japan)","ror":"https://ror.org/02exqgm79","country_code":"JP","type":"company","lineage":["https://openalex.org/I65143321"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takashi Endo","raw_affiliation_strings":["Hitachi Ltd.,R&D Group"],"affiliations":[{"raw_affiliation_string":"Hitachi Ltd.,R&D Group","institution_ids":["https://openalex.org/I65143321"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052394367","display_name":"Yohei Kawaguchi","orcid":"https://orcid.org/0000-0002-2329-5441"},"institutions":[{"id":"https://openalex.org/I65143321","display_name":"Hitachi (Japan)","ror":"https://ror.org/02exqgm79","country_code":"JP","type":"company","lineage":["https://openalex.org/I65143321"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yohei Kawaguchi","raw_affiliation_strings":["Hitachi Ltd.,R&D Group"],"affiliations":[{"raw_affiliation_string":"Hitachi Ltd.,R&D Group","institution_ids":["https://openalex.org/I65143321"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5004979745"],"corresponding_institution_ids":["https://openalex.org/I65143321"],"apc_list":null,"apc_paid":null,"fwci":3.1486,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.89722588,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9753999710083008,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9753999710083008,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11106","display_name":"Data Management and Algorithms","score":0.9488999843597412,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.9271000027656555,"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/computer-science","display_name":"Computer science","score":0.7400833964347839},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.7280921339988708},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5580452084541321},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.497344046831131},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3485645651817322},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3420066833496094},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1437707543373108},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.13865813612937927}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7400833964347839},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.7280921339988708},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5580452084541321},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.497344046831131},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3485645651817322},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3420066833496094},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1437707543373108},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.13865813612937927},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49660.2025.10888432","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10888432","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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":24,"referenced_works":["https://openalex.org/W1956340063","https://openalex.org/W2101105183","https://openalex.org/W2133512280","https://openalex.org/W2250318122","https://openalex.org/W2506483933","https://openalex.org/W2741690481","https://openalex.org/W2945447901","https://openalex.org/W2970641574","https://openalex.org/W3090149233","https://openalex.org/W3177318507","https://openalex.org/W4206304710","https://openalex.org/W4313122483","https://openalex.org/W4366548330","https://openalex.org/W4393147046","https://openalex.org/W6623048583","https://openalex.org/W6682631176","https://openalex.org/W6682685716","https://openalex.org/W6696727890","https://openalex.org/W6757817989","https://openalex.org/W6761205521","https://openalex.org/W6769627184","https://openalex.org/W6797155008","https://openalex.org/W6803567076","https://openalex.org/W6845576796"],"related_works":["https://openalex.org/W1919101720","https://openalex.org/W4390822878","https://openalex.org/W4246257243","https://openalex.org/W96888382","https://openalex.org/W4386126592","https://openalex.org/W3204019825","https://openalex.org/W2119012848","https://openalex.org/W2622688551","https://openalex.org/W1550175370","https://openalex.org/W1990205660"],"abstract_inverted_index":{"Due":[0],"to":[1,13,29],"scarcity":[2],"of":[3,46,91],"time-series":[4,18,36,47,96],"data":[5,19,48,97],"annotated":[6],"with":[7],"descriptive":[8,15,33,50,93],"texts,":[9],"training":[10],"a":[11,27,79],"model":[12,83],"generate":[14,31],"texts":[16,34,94],"for":[17,43,71,95],"is":[20,89],"challenging.":[21],"In":[22],"this":[23],"study,":[24],"we":[25,65],"propose":[26],"method":[28],"systematically":[30],"domain-independent":[32],"from":[35],"data.":[37],"We":[38],"identify":[39],"two":[40],"distinct":[41],"approaches":[42],"creating":[44],"pairs":[45],"and":[49,55],"texts:":[51],"the":[52,56,61,67,86],"forward":[53],"approach":[54],"backward":[57,63],"approach.":[58],"By":[59],"implementing":[60],"novel":[62,99],"approach,":[64],"create":[66],"Temporal":[68],"Automated":[69],"Captions":[70],"Observations":[72],"(TACO)":[73],"dataset.":[74],"Experimental":[75],"results":[76],"demonstrate":[77],"that":[78],"contrastive":[80],"learning":[81],"based":[82],"trained":[84],"using":[85],"TACO":[87],"dataset":[88],"capable":[90],"generating":[92],"in":[98],"domains.":[100]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-12-28T23:10:05.387466","created_date":"2025-10-10T00:00:00"}