{"id":"https://openalex.org/W3046327691","doi":"https://doi.org/10.1145/3383583.3398526","title":"The ACL FWS-RC: A Dataset for Recognition and Classification of Sentence about Future Works","display_name":"The ACL FWS-RC: A Dataset for Recognition and Classification of Sentence about Future Works","publication_year":2020,"publication_date":"2020-08-01","ids":{"openalex":"https://openalex.org/W3046327691","doi":"https://doi.org/10.1145/3383583.3398526","mag":"3046327691"},"language":"en","primary_location":{"id":"doi:10.1145/3383583.3398526","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3383583.3398526","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM/IEEE Joint Conference on Digital Libraries in 2020","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/A5112891814","display_name":"Wenke Hao","orcid":"https://orcid.org/0009-0008-9232-2811"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wenke Hao","raw_affiliation_strings":["Nanjing University of Science and Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106627817","display_name":"Zhicheng Li","orcid":"https://orcid.org/0009-0009-7804-5632"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhicheng Li","raw_affiliation_strings":["Nanjing University of Science and Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040647168","display_name":"Yuchen Qian","orcid":"https://orcid.org/0009-0004-6567-8792"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuchen Qian","raw_affiliation_strings":["Nanjing University of Science and Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100665235","display_name":"Yuzhuo Wang","orcid":"https://orcid.org/0000-0002-9749-8591"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuzhuo Wang","raw_affiliation_strings":["Nanjing University of Science and Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056318061","display_name":"Chengzhi Zhang","orcid":"https://orcid.org/0000-0001-9522-2914"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengzhi Zhang","raw_affiliation_strings":["Nanjing University of Science and Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5112891814"],"corresponding_institution_ids":["https://openalex.org/I36399199"],"apc_list":null,"apc_paid":null,"fwci":0.7954,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.78310927,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"261","last_page":"269"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9994000196456909,"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":0.9994000196456909,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9993000030517578,"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/T11719","display_name":"Data Quality and Management","score":0.9921000003814697,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.781460165977478},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.7188941240310669},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.6731055974960327},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6602389216423035},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5616189241409302},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5382964015007019},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.47465354204177856},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.47064393758773804}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.781460165977478},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.7188941240310669},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.6731055974960327},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6602389216423035},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5616189241409302},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5382964015007019},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.47465354204177856},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.47064393758773804},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3383583.3398526","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3383583.3398526","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM/IEEE Joint Conference on Digital Libraries in 2020","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.8199999928474426}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1981971048","https://openalex.org/W1982061482","https://openalex.org/W2129498318","https://openalex.org/W2129647599","https://openalex.org/W2146691185","https://openalex.org/W2252037756","https://openalex.org/W2331870320","https://openalex.org/W2531638282","https://openalex.org/W2602331152","https://openalex.org/W2964283354","https://openalex.org/W2981163821","https://openalex.org/W3013901503","https://openalex.org/W3016611451","https://openalex.org/W4235670450"],"related_works":["https://openalex.org/W2361861616","https://openalex.org/W2263699433","https://openalex.org/W2377979023","https://openalex.org/W2218034408","https://openalex.org/W2392921965","https://openalex.org/W2358755282","https://openalex.org/W2625833328","https://openalex.org/W1533177136","https://openalex.org/W4380994516","https://openalex.org/W2251519152"],"abstract_inverted_index":{"Sentences":[0],"about":[1,104],"future":[2,105,147,216,222],"work":[3,106,148,217],"(FWS)":[4],"mentioned":[5],"in":[6,53,86,149,168,174,218],"the":[7,37,50,54,63,67,78,92,117,123,146,161,169,172,178,185,190,197,200,206,228,235],"academic":[8,32,72,219],"papers":[9,33,85],"are":[10,99,107,119,125,132],"very":[11],"important,":[12],"which":[13,131,194],"contain":[14],"valuable":[15],"information":[16],"and":[17,44,74,77,101,122,138,140,203,208,231],"can":[18],"provide":[19,196],"researchers":[20,210],"with":[21],"new":[22],"research":[23,93,214],"topics":[24],"or":[25],"directions.":[26],"At":[27],"present,":[28],"researchers'":[29],"analysis":[30],"of":[31,39,62,71,80,171,180,192,205,227,234],"mainly":[34],"focuses":[35],"on":[36,66,215],"content":[38,70],"citations,":[40],"bibliographic":[41],"information,":[42],"etc.,":[43],"little":[45,166],"attention":[46],"is":[47,165,184],"paid":[48],"to":[49,211],"FWS":[51,64,118,173,207,229],"contained":[52],"full":[55,68],"text.":[56],"This":[57],"paper":[58],"constructs":[59],"a":[60],"corpus":[61,191,230],"based":[65],"text":[69],"papers,":[73],"analyzes":[75],"characteristics":[76],"rules":[79],"FWS.":[81,236],"Taking":[82],"4,024":[83],"conference":[84],"Natural":[87],"Language":[88],"Processing":[89],"(NLP)":[90],"as":[91],"object,":[94],"three":[95],"basic":[96],"annotation":[97],"specifications":[98],"formulated,":[100],"3,067":[102],"sentences":[103,124,156],"extracted":[108],"from":[109],"4,509":[110],"chapters":[111],"by":[112],"manual":[113],"annotation.":[114],"Then,":[115],"all":[116],"manually":[120],"coded,":[121],"classified":[126],"into":[127],"6":[128],"main":[129],"categories,":[130],"method,":[133],"resources,":[134],"evaluation,":[135],"application,":[136],"problem":[137],"other,":[139],"17":[141],"sub-categories.":[142],"Finally,":[143],"we":[144],"analyze":[145],"different":[150],"types.":[151],"The":[152],"results":[153],"show":[154],"that":[155],"mentioning":[157],"methods":[158],"account":[159],"for":[160,199],"highest":[162],"proportion.":[163],"There":[164],"difference":[167],"number":[170],"other":[175],"categories.":[176],"To":[177],"best":[179],"our":[181],"knowledge,":[182],"this":[183],"first":[186],"attempt":[187],"at":[188],"constructing":[189],"FWS,":[193],"will":[195],"basis":[198],"automatic":[201,232],"extraction":[202,233],"classification":[204],"facilitate":[209],"conduct":[212],"large-scale":[213],"papers.":[220],"Our":[221],"works":[223],"include":[224],"extending":[225],"scale":[226]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}