{"id":"https://openalex.org/W4386272720","doi":"https://doi.org/10.48550/arxiv.2308.14280","title":"FonMTL: Towards Multitask Learning for the Fon Language","display_name":"FonMTL: Towards Multitask Learning for the Fon Language","publication_year":2023,"publication_date":"2023-08-28","ids":{"openalex":"https://openalex.org/W4386272720","doi":"https://doi.org/10.48550/arxiv.2308.14280"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2308.14280","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2308.14280","pdf_url":"https://arxiv.org/pdf/2308.14280","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2308.14280","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5058219704","display_name":"Bonaventure F. P. Dossou","orcid":"https://orcid.org/0000-0002-0519-1761"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Dossou, Bonaventure F. P.","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020760948","display_name":"Iffanice Houndayi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Houndayi, Iffanice","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092715750","display_name":"Pamely Zantou","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zantou, Pamely","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5029414679","display_name":"Gilles Hacheme","orcid":"https://orcid.org/0000-0002-9465-6558"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hacheme, Gilles","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5058219704"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9961000084877014,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9961000084877014,"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/T10028","display_name":"Topic Modeling","score":0.9957000017166138,"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/T12031","display_name":"Speech and dialogue systems","score":0.9783999919891357,"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":0.8278074860572815},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.7369248867034912},{"id":"https://openalex.org/keywords/multi-task-learning","display_name":"Multi-task learning","score":0.6759670376777649},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5406221151351929},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5379636287689209},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5231983661651611},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.5035983920097351},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.45022767782211304},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.4445730149745941},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.41383013129234314},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39323028922080994},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.11973652243614197}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8278074860572815},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.7369248867034912},{"id":"https://openalex.org/C28006648","wikidata":"https://www.wikidata.org/wiki/Q6934509","display_name":"Multi-task learning","level":3,"score":0.6759670376777649},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5406221151351929},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5379636287689209},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5231983661651611},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.5035983920097351},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.45022767782211304},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.4445730149745941},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.41383013129234314},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39323028922080994},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.11973652243614197},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2308.14280","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2308.14280","pdf_url":"https://arxiv.org/pdf/2308.14280","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"doi:10.48550/arxiv.2308.14280","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2308.14280","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2308.14280","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2308.14280","pdf_url":"https://arxiv.org/pdf/2308.14280","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.7900000214576721}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4386272720.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2180954594","https://openalex.org/W2052835778","https://openalex.org/W2049003611","https://openalex.org/W2108418243","https://openalex.org/W2127804977","https://openalex.org/W164103134","https://openalex.org/W2787352659","https://openalex.org/W1970611213","https://openalex.org/W3105492668","https://openalex.org/W4234125632"],"abstract_inverted_index":{"The":[0],"Fon":[1,85],"language,":[2,16],"spoken":[3],"by":[4,47],"an":[5],"average":[6],"2":[7],"million":[8],"of":[9,44,92,99,169],"people,":[10],"is":[11,33,191],"a":[12,18,29,34,45,161],"truly":[13],"low-resourced":[14],"African":[15],"with":[17],"limited":[19],"online":[20],"presence,":[21],"and":[22,97,120,137,175],"existing":[23],"datasets":[24],"(just":[25],"to":[26,39,72,113,129,148,165],"name":[27],"but":[28,52],"few).":[30],"Multitask":[31],"learning":[32,35],"paradigm":[36],"that":[37,178],"aims":[38],"improve":[40],"the":[41,68,84,90,118,135,167,179],"generalization":[42],"capacity":[43],"model":[46,76,109],"sharing":[48],"knowledge":[49],"across":[50],"different":[51,171],"related":[53],"tasks:":[54],"this":[55,64],"could":[56],"be":[57],"prevalent":[58],"in":[59,79,186],"very":[60],"data-scarce":[61],"scenarios.":[62],"In":[63],"paper,":[65],"we":[66,88,121,159],"present":[67],"first":[69],"explorative":[70],"approach":[71,183],"multitask":[73],"learning,":[74],"for":[75,83,103,117,126,140],"capabilities":[77],"enhancement":[78],"Natural":[80],"Language":[81],"Processing":[82],"language.":[86],"Specifically,":[87],"explore":[89],"tasks":[91,139],"Named":[93],"Entity":[94],"Recognition":[95],"(NER)":[96],"Part":[98],"Speech":[100],"Tagging":[101],"(POS)":[102],"Fon.":[104],"We":[105],"leverage":[106,166],"two":[107,170],"language":[108,152],"heads":[110],"as":[111],"encoders":[112],"build":[114],"shared":[115],"representations":[116],"inputs,":[119],"use":[122],"linear":[123],"layers":[124],"blocks":[125],"classification":[127],"relative":[128],"each":[130],"task.":[131],"Our":[132,189],"results":[133],"on":[134,155],"NER":[136],"POS":[138],"Fon,":[141],"show":[142],"competitive":[143],"(or":[144],"better)":[145],"performances":[146],"compared":[147],"several":[149],"multilingual":[150],"pretrained":[151],"models":[153],"finetuned":[154],"single":[156],"tasks.":[157],"Additionally,":[158],"perform":[160],"few":[162],"ablation":[163],"studies":[164],"efficiency":[168],"loss":[172,181],"combination":[173],"strategies":[174],"find":[176],"out":[177],"equal":[180],"weighting":[182],"works":[184],"best":[185],"our":[187],"case.":[188],"code":[190],"open-sourced":[192],"at":[193],"https://github.com/bonaventuredossou/multitask_fon.":[194]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-13T16:22:10.518609","created_date":"2023-08-31T00:00:00"}
