{"id":"https://openalex.org/W2953813570","doi":"https://doi.org/10.18653/v1/p19-1079","title":"Multi-Task Networks with Universe, Group, and Task Feature Learning","display_name":"Multi-Task Networks with Universe, Group, and Task Feature Learning","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2953813570","doi":"https://doi.org/10.18653/v1/p19-1079","mag":"2953813570"},"language":"en","primary_location":{"id":"doi:10.18653/v1/p19-1079","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p19-1079","pdf_url":"https://www.aclweb.org/anthology/P19-1079.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 57th Annual Meeting of the Association for Computational Linguistics","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/P19-1079.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5021440488","display_name":"Shiva Pentyala","orcid":"https://orcid.org/0000-0002-2985-9113"},"institutions":[{"id":"https://openalex.org/I2801613365","display_name":"Mitchell Institute","ror":"https://ror.org/03ds72003","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I2801613365"]},{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Shiva Pentyala","raw_affiliation_strings":["Texas A&M University","\u2020Texas A&M University"],"affiliations":[{"raw_affiliation_string":"Texas A&M University","institution_ids":["https://openalex.org/I2801613365","https://openalex.org/I91045830"]},{"raw_affiliation_string":"\u2020Texas A&M University","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023578096","display_name":"Mengwen Liu","orcid":"https://orcid.org/0000-0001-8006-5995"},"institutions":[{"id":"https://openalex.org/I2801613365","display_name":"Mitchell Institute","ror":"https://ror.org/03ds72003","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I2801613365"]},{"id":"https://openalex.org/I4210089985","display_name":"Amazon (Germany)","ror":"https://ror.org/00b9ktm87","country_code":"DE","type":"company","lineage":["https://openalex.org/I1311688040","https://openalex.org/I4210089985"]},{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["DE","US"],"is_corresponding":false,"raw_author_name":"Mengwen Liu","raw_affiliation_strings":["Texas A&M University","Amazon"],"affiliations":[{"raw_affiliation_string":"Texas A&M University","institution_ids":["https://openalex.org/I2801613365","https://openalex.org/I91045830"]},{"raw_affiliation_string":"Amazon","institution_ids":["https://openalex.org/I4210089985"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079131136","display_name":"Markus Dreyer","orcid":null},"institutions":[{"id":"https://openalex.org/I2801613365","display_name":"Mitchell Institute","ror":"https://ror.org/03ds72003","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I2801613365"]},{"id":"https://openalex.org/I4210089985","display_name":"Amazon (Germany)","ror":"https://ror.org/00b9ktm87","country_code":"DE","type":"company","lineage":["https://openalex.org/I1311688040","https://openalex.org/I4210089985"]},{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["DE","US"],"is_corresponding":false,"raw_author_name":"Markus Dreyer","raw_affiliation_strings":["Texas A&M University","Amazon"],"affiliations":[{"raw_affiliation_string":"Texas A&M University","institution_ids":["https://openalex.org/I2801613365","https://openalex.org/I91045830"]},{"raw_affiliation_string":"Amazon","institution_ids":["https://openalex.org/I4210089985"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5021440488"],"corresponding_institution_ids":["https://openalex.org/I2801613365","https://openalex.org/I91045830"],"apc_list":null,"apc_paid":null,"fwci":0.289,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.65744084,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"820","last_page":"830"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":1.0,"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/T10028","display_name":"Topic Modeling","score":1.0,"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":0.9998999834060669,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9954000115394592,"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":0.7888790965080261},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.7711062431335449},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.6604251861572266},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6469894647598267},{"id":"https://openalex.org/keywords/hierarchy","display_name":"Hierarchy","score":0.6358038187026978},{"id":"https://openalex.org/keywords/multi-task-learning","display_name":"Multi-task learning","score":0.5732181668281555},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5058700442314148},{"id":"https://openalex.org/keywords/task-analysis","display_name":"Task analysis","score":0.4690680205821991},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4473895728588104},{"id":"https://openalex.org/keywords/group","display_name":"Group (periodic table)","score":0.4388803243637085},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3693699836730957},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.33441752195358276},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07043945789337158}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7888790965080261},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.7711062431335449},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.6604251861572266},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6469894647598267},{"id":"https://openalex.org/C31170391","wikidata":"https://www.wikidata.org/wiki/Q188619","display_name":"Hierarchy","level":2,"score":0.6358038187026978},{"id":"https://openalex.org/C28006648","wikidata":"https://www.wikidata.org/wiki/Q6934509","display_name":"Multi-task learning","level":3,"score":0.5732181668281555},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5058700442314148},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.4690680205821991},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4473895728588104},{"id":"https://openalex.org/C2781311116","wikidata":"https://www.wikidata.org/wiki/Q83306","display_name":"Group (periodic table)","level":2,"score":0.4388803243637085},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3693699836730957},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.33441752195358276},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07043945789337158},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C34447519","wikidata":"https://www.wikidata.org/wiki/Q179522","display_name":"Market economy","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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.18653/v1/p19-1079","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p19-1079","pdf_url":"https://www.aclweb.org/anthology/P19-1079.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 57th Annual Meeting of the Association for Computational Linguistics","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1907.01791","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1907.01791","pdf_url":"https://arxiv.org/pdf/1907.01791","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"mag:2953813570","is_oa":true,"landing_page_url":"https://arxiv.org/abs/1907.01791","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1907.01791","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1907.01791","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.18653/v1/p19-1079","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p19-1079","pdf_url":"https://www.aclweb.org/anthology/P19-1079.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 57th Annual Meeting of the Association for Computational Linguistics","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2953813570.pdf","grobid_xml":"https://content.openalex.org/works/W2953813570.grobid-xml"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W1896424170","https://openalex.org/W2064675550","https://openalex.org/W2097550833","https://openalex.org/W2117130368","https://openalex.org/W2123257246","https://openalex.org/W2131479143","https://openalex.org/W2133491790","https://openalex.org/W2143104527","https://openalex.org/W2147880316","https://openalex.org/W2165644552","https://openalex.org/W2166721725","https://openalex.org/W2250539671","https://openalex.org/W2296283641","https://openalex.org/W2473329891","https://openalex.org/W2511131004","https://openalex.org/W2516255829","https://openalex.org/W2550821151","https://openalex.org/W2570431255","https://openalex.org/W2579721581","https://openalex.org/W2803392141","https://openalex.org/W2890407764","https://openalex.org/W2891884907","https://openalex.org/W2953384591","https://openalex.org/W2962897020","https://openalex.org/W2963153906","https://openalex.org/W2963586307","https://openalex.org/W2963826681","https://openalex.org/W2963842982","https://openalex.org/W2963974889","https://openalex.org/W2964061809","https://openalex.org/W2964121744","https://openalex.org/W2964285114","https://openalex.org/W3209042722"],"related_works":["https://openalex.org/W2965495421","https://openalex.org/W2752440022","https://openalex.org/W2411466998","https://openalex.org/W2955609886","https://openalex.org/W2963315891","https://openalex.org/W2595713599","https://openalex.org/W2524603105","https://openalex.org/W3109885824","https://openalex.org/W2264866997","https://openalex.org/W3121286072","https://openalex.org/W2604685013","https://openalex.org/W3115751686","https://openalex.org/W3016369563","https://openalex.org/W2142533342","https://openalex.org/W2953542613","https://openalex.org/W3106274079","https://openalex.org/W3036615999","https://openalex.org/W2898996181","https://openalex.org/W3111703041","https://openalex.org/W3130994486"],"abstract_inverted_index":{"We":[0,49],"present":[1],"methods":[2],"for":[3],"multi-task":[4],"learning":[5,60],"that":[6,57],"take":[7],"advantage":[8],"of":[9,12,23,53,67,77],"natural":[10],"groupings":[11],"related":[13],"tasks.":[14],"Task":[15],"groups":[16,34],"may":[17],"be":[18,44],"defined":[19],"along":[20],"known":[21],"properties":[22],"the":[24,39,47,65,75],"tasks,":[25,69],"such":[26],"as":[27,72,74],"task":[28,33,70],"domain":[29],"or":[30],"language.":[31],"Such":[32],"represent":[35],"supervised":[36],"information":[37],"at":[38,64],"inter-task":[40],"level":[41],"and":[42],"can":[43],"encoded":[45],"into":[46],"model.":[48],"investigate":[50],"two":[51],"variants":[52],"neural":[54],"network":[55],"architectures":[56],"accomplish":[58],"this,":[59],"different":[61],"feature":[62],"spaces":[63],"levels":[66],"individual":[68],"groups,":[71],"well":[73],"universe":[76],"all":[78],"tasks:":[79]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}
