{"id":"https://openalex.org/W4389374164","doi":"https://doi.org/10.1145/3628797.3628958","title":"Domain Adaptation in Nested Named Entity Recognition From Scientific Articles in Agriculture","display_name":"Domain Adaptation in Nested Named Entity Recognition From Scientific Articles in Agriculture","publication_year":2023,"publication_date":"2023-12-06","ids":{"openalex":"https://openalex.org/W4389374164","doi":"https://doi.org/10.1145/3628797.3628958"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1145/3628797.3628958","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3628797.3628958","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"proceedings-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3628797.3628958","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5009628766","display_name":"D. T. Phan","orcid":"https://orcid.org/0009-0008-7320-0376"},"institutions":[{"id":"https://openalex.org/I47265099","display_name":"Ho Chi Minh City University of Technology","ror":"https://ror.org/04qva2324","country_code":"VN","type":"education","lineage":["https://openalex.org/I123565023","https://openalex.org/I47265099"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Doan Thai Binh Phan","raw_affiliation_strings":["University of Information Technology (UIT), VNU-HCM, Viet Nam"],"affiliations":[{"raw_affiliation_string":"University of Information Technology (UIT), VNU-HCM, Viet Nam","institution_ids":["https://openalex.org/I47265099"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102847727","display_name":"Phuoc Vinh Linh Le","orcid":"https://orcid.org/0009-0007-0094-5177"},"institutions":[{"id":"https://openalex.org/I47265099","display_name":"Ho Chi Minh City University of Technology","ror":"https://ror.org/04qva2324","country_code":"VN","type":"education","lineage":["https://openalex.org/I123565023","https://openalex.org/I47265099"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Phuoc Vinh Linh Le","raw_affiliation_strings":["University of Information Technology (UIT), VNU-HCM, Viet Nam"],"affiliations":[{"raw_affiliation_string":"University of Information Technology (UIT), VNU-HCM, Viet Nam","institution_ids":["https://openalex.org/I47265099"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081219326","display_name":"Ngoc Hoang Luong","orcid":"https://orcid.org/0000-0002-6768-1950"},"institutions":[{"id":"https://openalex.org/I47265099","display_name":"Ho Chi Minh City University of Technology","ror":"https://ror.org/04qva2324","country_code":"VN","type":"education","lineage":["https://openalex.org/I123565023","https://openalex.org/I47265099"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Ngoc Hoang Luong","raw_affiliation_strings":["University of Information Technology (UIT), VNU-HCM, Viet Nam"],"affiliations":[{"raw_affiliation_string":"University of Information Technology (UIT), VNU-HCM, Viet Nam","institution_ids":["https://openalex.org/I47265099"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039829612","display_name":"Tahar Kechadi","orcid":"https://orcid.org/0000-0002-0176-6281"},"institutions":[{"id":"https://openalex.org/I100930933","display_name":"University College Dublin","ror":"https://ror.org/05m7pjf47","country_code":"IE","type":"funder","lineage":["https://openalex.org/I100930933"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Tahar Kechadi","raw_affiliation_strings":["University College Dublin, Ireland"],"affiliations":[{"raw_affiliation_string":"University College Dublin, Ireland","institution_ids":["https://openalex.org/I100930933"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062573204","display_name":"Hung Q. Ngo","orcid":"https://orcid.org/0000-0001-8246-8392"},"institutions":[{"id":"https://openalex.org/I4210144925","display_name":"Technological University Dublin","ror":"https://ror.org/04t0qbt32","country_code":"IE","type":"funder","lineage":["https://openalex.org/I4210144925"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Hung Q. Ngo","raw_affiliation_strings":["Technological University Dublin, Ireland"],"affiliations":[{"raw_affiliation_string":"Technological University Dublin, Ireland","institution_ids":["https://openalex.org/I4210144925"]}]}],"institution_assertions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"fulltext_origin":"pdf","cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":0,"max":66},"biblio":{"volume":null,"issue":null,"first_page":"48","last_page":"55"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9926,"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":0.9926,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9666,"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":0.949,"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/named-entity-recognition","display_name":"Named Entity Recognition","score":0.71552336},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.4652646}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.77883923},{"id":"https://openalex.org/C2779135771","wikidata":"https://www.wikidata.org/wiki/Q403574","display_name":"Named-entity recognition","level":3,"score":0.71552336},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.61389524},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5694173},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5372178},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5166214},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4701626},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.4652646},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.43840548},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.38320574},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.34473574},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.12675971},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09942636},{"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/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.1145/3628797.3628958","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3628797.3628958","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1145/3628797.3628958","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3628797.3628958","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","score":0.77,"display_name":"Zero hunger"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":22,"referenced_works":["https://openalex.org/W2296283641","https://openalex.org/W2336532338","https://openalex.org/W2583919260","https://openalex.org/W2602633191","https://openalex.org/W2799321649","https://openalex.org/W2804221886","https://openalex.org/W2952594430","https://openalex.org/W2963568202","https://openalex.org/W3034744126","https://openalex.org/W3035375600","https://openalex.org/W3035543689","https://openalex.org/W3081260973","https://openalex.org/W3099591453","https://openalex.org/W3176680950","https://openalex.org/W3177329835","https://openalex.org/W3187731984","https://openalex.org/W3210939742","https://openalex.org/W3214678605","https://openalex.org/W4225964816","https://openalex.org/W4241461138","https://openalex.org/W4283525004","https://openalex.org/W4385571159"],"related_works":["https://openalex.org/W4241018868","https://openalex.org/W3091569222","https://openalex.org/W3006227201","https://openalex.org/W2999302224","https://openalex.org/W2983934248","https://openalex.org/W2916255597","https://openalex.org/W2334378031","https://openalex.org/W2075635421","https://openalex.org/W1605730749","https://openalex.org/W1495833002"],"abstract_inverted_index":{"In":[0],"the":[1,6,74,83,87,113,115,150,173,229],"realm":[2],"of":[3,54,175],"digital":[4],"agriculture,":[5],"ability":[7],"to":[8,63,70,76,138,228,234],"make":[9],"timely,":[10],"profitable,":[11],"and":[12,21,34,42,57,141,163],"actionable":[13],"decisions":[14],"depends":[15],"on":[16],"agronomists":[17],"using":[18],"agricultural":[19,35,43,64,88,129,162],"data":[20,238],"related":[22],"cultivated":[23],"data,":[24],"including":[25],"text":[26,134],"sources":[27],"such":[28],"as":[29,100],"news":[30],"articles,":[31],"farm":[32],"notes,":[33],"scientific":[36,164,179],"reports.":[37],"Named":[38],"entity":[39,44,65,123,130,199],"recognition":[40,45,66,131],"(NER)":[41],"(AGER)":[46],"facilitate":[47],"semantic":[48],"understanding,":[49],"enabling":[50],"precise":[51],"identification,":[52],"categorization":[53],"farming":[55,108],"components,":[56],"knowledge":[58,142],"discovery.":[59],"However,":[60],"current":[61],"approaches":[62],"encounter":[67],"limitations":[68],"due":[69],"limited":[71],"resources.":[72],"Moreover,":[73],"necessity":[75],"identify":[77],"nested":[78,122],"named":[79],"entities":[80],"emerges":[81],"from":[82,132,178],"complexities":[84],"inherent":[85],"in":[86],"domain.":[89,146],"Relevant":[90],"information":[91,139],"often":[92],"traverses":[93],"multiple":[94],"interconnected":[95],"elements":[96],"rather":[97],"than":[98],"residing":[99],"isolated":[101],"entities.":[102],"For":[103],"instance,":[104],"comprehending":[105],"a":[106,121,125,154,186,204],"target":[107],"practice":[109],"might":[110],"necessitate":[111],"pinpointing":[112],"crop,":[114],"associated":[116],"nutrients,":[117],"or":[118],"diseases\u2014each":[119],"constituting":[120],"within":[124,144],"broader":[126],"context.":[127],"Consequently,":[128],"unstructured":[133],"gives":[135],"high":[136,224],"importance":[137],"retrieval":[140],"construction":[143],"this":[145,221],"This":[147,170,182],"study":[148,183],"constructs":[149],"SAGRI":[151],"dataset,":[152],"incorporating":[153],"novel":[155],"tagset":[156,171],"for":[157,197],"AGER":[158],"that":[159,209],"encompasses":[160],"prevalent":[161],"concepts,":[165],"methodically":[166],"established":[167],"through":[168],"annotation.":[169],"enables":[172],"extraction":[174],"domain-independent":[176],"concepts":[177],"article":[180],"abstracts.":[181],"also":[184],"introduces":[185],"cutting-edge":[187],"deep":[188],"learning":[189,207],"baseline":[190],"with":[191,216],"an":[192],"advanced":[193],"Triaffine":[194],"attention":[195],"mechanism":[196],"robust":[198],"extraction.":[200],"Additionally,":[201],"it":[202],"presents":[203],"pioneering":[205],"few-shot":[206],"strategy":[208,222],"optimizes":[210],"cross-domain":[211],"categorization,":[212],"mainly":[213],"when":[214],"dealing":[215],"scarce":[217],"training":[218,237],"data.":[219],"Notably,":[220],"achieves":[223],"F1":[225],"scores":[226],"compared":[227],"baseline,":[230],"underscoring":[231],"its":[232],"potential":[233],"curtail":[235],"required":[236],"considerably.":[239]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4389374164","counts_by_year":[],"updated_date":"2025-02-22T07:01:01.410080","created_date":"2023-12-07"}