{"id":"https://openalex.org/W4403791414","doi":"https://doi.org/10.1145/3664647.3681350","title":"Hierarchical Multi-label Learning for Incremental Multilingual Text Recognition","display_name":"Hierarchical Multi-label Learning for Incremental Multilingual Text Recognition","publication_year":2024,"publication_date":"2024-10-26","ids":{"openalex":"https://openalex.org/W4403791414","doi":"https://doi.org/10.1145/3664647.3681350"},"language":"en","primary_location":{"id":"doi:10.1145/3664647.3681350","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3664647.3681350","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Multimedia","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/A5100683612","display_name":"Xiaoqian Liu","orcid":"https://orcid.org/0000-0002-2187-8598"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao-Qian Liu","raw_affiliation_strings":["Shandong University, Jinan, China"],"raw_orcid":"https://orcid.org/0000-0002-2187-8598","affiliations":[{"raw_affiliation_string":"Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100358119","display_name":"Minghui Liu","orcid":"https://orcid.org/0000-0001-7242-5452"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming-Hui Liu","raw_affiliation_strings":["Shandong University, Jinan, China"],"raw_orcid":"https://orcid.org/0000-0001-7242-5452","affiliations":[{"raw_affiliation_string":"Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021275163","display_name":"Zhen-Duo Chen","orcid":"https://orcid.org/0000-0002-3481-4892"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen-Duo Chen","raw_affiliation_strings":["Shandong University, Jinan, China"],"raw_orcid":"https://orcid.org/0000-0002-3481-4892","affiliations":[{"raw_affiliation_string":"Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052168662","display_name":"Xin Luo","orcid":"https://orcid.org/0000-0002-6901-5476"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Luo","raw_affiliation_strings":["Shandong University, Jinan, China"],"raw_orcid":"https://orcid.org/0000-0002-6901-5476","affiliations":[{"raw_affiliation_string":"Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086235570","display_name":"Xin-Shun Xu","orcid":"https://orcid.org/0000-0001-9972-7370"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin-Shun Xu","raw_affiliation_strings":["Shandong University, Jinan, China"],"raw_orcid":"https://orcid.org/0000-0001-9972-7370","affiliations":[{"raw_affiliation_string":"Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I154099455"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"8750","last_page":"8758"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","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/T10601","display_name":"Handwritten Text Recognition Techniques","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/T11550","display_name":"Text and Document Classification Technologies","score":0.996399998664856,"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":0.9954000115394592,"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":0.795590341091156},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5134969353675842},{"id":"https://openalex.org/keywords/text-recognition","display_name":"Text recognition","score":0.5070765018463135},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47185656428337097},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.36755532026290894}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.795590341091156},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5134969353675842},{"id":"https://openalex.org/C2983812711","wikidata":"https://www.wikidata.org/wiki/Q167555","display_name":"Text recognition","level":3,"score":0.5070765018463135},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47185656428337097},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.36755532026290894},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3664647.3681350","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3664647.3681350","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.699999988079071,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W2127141656","https://openalex.org/W2194187530","https://openalex.org/W2554863749","https://openalex.org/W2785383245","https://openalex.org/W2884282566","https://openalex.org/W2948734064","https://openalex.org/W2954929116","https://openalex.org/W2978036638","https://openalex.org/W2997749585","https://openalex.org/W2997864923","https://openalex.org/W3003868038","https://openalex.org/W3004846386","https://openalex.org/W3021931813","https://openalex.org/W3034856281","https://openalex.org/W3175618949","https://openalex.org/W3180392831","https://openalex.org/W3181186176","https://openalex.org/W3202415716","https://openalex.org/W3202912918","https://openalex.org/W3206651063","https://openalex.org/W4226329156","https://openalex.org/W4229030834","https://openalex.org/W4283821822","https://openalex.org/W4382463295","https://openalex.org/W4385767840","https://openalex.org/W4385767967","https://openalex.org/W4386057810","https://openalex.org/W4387968089","https://openalex.org/W4387968181","https://openalex.org/W4387968234","https://openalex.org/W4390871731","https://openalex.org/W4390874533"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W3204019825"],"abstract_inverted_index":{"Multilingual":[0,65],"text":[1],"recognition":[2],"(MLTR)":[3],"is":[4,27,74],"increasingly":[5],"essential":[6],"for":[7,64],"facilitating":[8],"cultural":[9],"communication.":[10],"However,":[11,35],"existing":[12],"methods":[13],"often":[14],"struggle":[15],"with":[16],"retaining":[17],"previous":[18],"knowledge":[19,72,79,127],"when":[20],"learning":[21,30,62],"new":[22,139],"languages.":[23],"A":[24],"straightforward":[25],"solution":[26],"performing":[28],"incremental":[29,44,52],"(IL)":[31],"on":[32,154],"MLTR":[33],"tasks.":[34],"it":[36],"ignores":[37],"the":[38,126,130],"shared":[39,78,98],"words":[40,88],"and":[41,80,89,119,138,158,166],"characters":[42,90],"across":[43],"languages,":[45],"which":[46],"we":[47,59,106],"first":[48],"term":[49],"as":[50],"an":[51],"sharing":[53],"problem.":[54],"Motivated":[55],"by":[56,125,147],"this":[57],"observation,":[58],"propose":[60],"HierArchicalMulti-label":[61],"framework":[63],"tExt":[66],"Recognition,":[67],"termed":[68],"HAMMER.":[69],"An":[70],"online":[71],"analysis":[73],"designed":[75],"to":[76,101,113,133],"identify":[77],"provide":[81],"corresponding":[82],"multi-label":[83],"language":[84,104,110,115,140],"supervision.":[85],"Specifically,":[86],"only":[87],"appearing":[91],"simultaneously":[92],"in":[93],"multiple":[94],"languages":[95],"are":[96],"considered":[97],"knowledge.":[99],"Additionally,":[100],"further":[102],"capture":[103],"dependencies,":[105],"introduce":[107],"a":[108],"hierarchical":[109],"evaluation":[111],"mechanism":[112],"predict":[114],"scores":[116],"at":[117],"word":[118],"character":[120],"levels.":[121],"These":[122],"scores,":[123],"supervised":[124],"analysis,":[128],"guide":[129],"specific":[131],"recognizers":[132],"effectively":[134],"utilize":[135],"both":[136],"old":[137],"knowledge,":[141],"thereby":[142],"mitigating":[143],"catastrophic":[144],"forgetting":[145],"caused":[146],"imbalanced":[148],"rehearsal":[149],"sets.":[150],"Extensive":[151],"experiments":[152],"conducted":[153],"benchmark":[155],"datasets,":[156],"MLT17":[157],"MLT19,":[159],"show":[160],"that":[161],"HAMMER":[162],"exhibits":[163],"remarkable":[164],"results":[165],"outperforms":[167],"other":[168],"state-of-the-art":[169],"approaches.":[170]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}