{"id":"https://openalex.org/W2911560188","doi":"https://doi.org/10.18653/v1/w18-6128","title":"Step or Not: Discriminator for The Real Instructions in User-generated Recipes","display_name":"Step or Not: Discriminator for The Real Instructions in User-generated Recipes","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2911560188","doi":"https://doi.org/10.18653/v1/w18-6128","mag":"2911560188"},"language":"en","primary_location":{"id":"doi:10.18653/v1/w18-6128","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w18-6128","pdf_url":"https://www.aclweb.org/anthology/W18-6128.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 2018 EMNLP Workshop W-NUT: The 4th Workshop on Noisy User-generated Text","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/W18-6128.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5004353100","display_name":"Shintaro Inuzuka","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shintaro Inuzuka","raw_affiliation_strings":["Cookpad Inc. Yebisu Garden Place Tower 12F, 4-20-3 Ebisu, Shibuya-ku, Tokyo, 150-6012, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cookpad Inc. Yebisu Garden Place Tower 12F, 4-20-3 Ebisu, Shibuya-ku, Tokyo, 150-6012, Japan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113492601","display_name":"Takahiko Ito","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Takahiko Ito","raw_affiliation_strings":["Cookpad Inc. Yebisu Garden Place Tower 12F, 4-20-3 Ebisu, Shibuya-ku, Tokyo, 150-6012, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cookpad Inc. Yebisu Garden Place Tower 12F, 4-20-3 Ebisu, Shibuya-ku, Tokyo, 150-6012, Japan","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071534235","display_name":"Jun Harashima","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jun Harashima","raw_affiliation_strings":["Cookpad Inc. Yebisu Garden Place Tower 12F, 4-20-3 Ebisu, Shibuya-ku, Tokyo, 150-6012, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cookpad Inc. Yebisu Garden Place Tower 12F, 4-20-3 Ebisu, Shibuya-ku, Tokyo, 150-6012, Japan","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"214","last_page":"214"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9819999933242798,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9819999933242798,"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":0.9605000019073486,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9523000121116638,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/recipe","display_name":"Recipe","score":0.9915943145751953},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8180822730064392},{"id":"https://openalex.org/keywords/discriminator","display_name":"Discriminator","score":0.701694130897522},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.623778223991394},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.6209300756454468},{"id":"https://openalex.org/keywords/publication","display_name":"Publication","score":0.5071384906768799},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.49487656354904175},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.487447053194046},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3934396505355835},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37310993671417236},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.15676522254943848}],"concepts":[{"id":"https://openalex.org/C2778671685","wikidata":"https://www.wikidata.org/wiki/Q219239","display_name":"Recipe","level":2,"score":0.9915943145751953},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8180822730064392},{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.701694130897522},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.623778223991394},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.6209300756454468},{"id":"https://openalex.org/C41458344","wikidata":"https://www.wikidata.org/wiki/Q732577","display_name":"Publication","level":2,"score":0.5071384906768799},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.49487656354904175},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.487447053194046},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3934396505355835},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37310993671417236},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.15676522254943848},{"id":"https://openalex.org/C112698675","wikidata":"https://www.wikidata.org/wiki/Q37038","display_name":"Advertising","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C31903555","wikidata":"https://www.wikidata.org/wiki/Q1637030","display_name":"Food science","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/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/w18-6128","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w18-6128","pdf_url":"https://www.aclweb.org/anthology/W18-6128.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 2018 EMNLP Workshop W-NUT: The 4th Workshop on Noisy User-generated Text","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/w18-6128","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w18-6128","pdf_url":"https://www.aclweb.org/anthology/W18-6128.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 2018 EMNLP Workshop W-NUT: The 4th Workshop on Noisy User-generated Text","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.6899999976158142,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2911560188.pdf","grobid_xml":"https://content.openalex.org/works/W2911560188.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W258429745","https://openalex.org/W3161239248","https://openalex.org/W2561508161","https://openalex.org/W3195543079","https://openalex.org/W2098178683","https://openalex.org/W3207562294","https://openalex.org/W2604742737","https://openalex.org/W3021194804","https://openalex.org/W4386893202","https://openalex.org/W4388686419"],"abstract_inverted_index":{"In":[0,144],"a":[1,13,93,99],"recipe":[2,7,59,72,126],"sharing":[3],"service,":[4],"users":[5],"publish":[6],"instructions":[8],"in":[9,50,87],"the":[10,20,27,51,55,58,103,117,129,142],"form":[11],"of":[12,15,19,26,32,54,119,131],"series":[14],"steps.":[16],"However,":[17,63],"some":[18],"\u201csteps\u201d":[21],"are":[22],"not":[23,114],"actually":[24,105],"part":[25],"cooking":[28],"process.":[29],"Specifically,":[30],"advertisements":[31],"recipes":[33],"themselves":[34],"(e.g.,":[35,41],"\u201cintroduced":[36],"on":[37],"TV\u201d)":[38],"and":[39,102,124,128],"comments":[40],"\u201cThanks":[42],"for":[43,107],"many":[44],"messages\u201d)":[45],"may":[46],"often":[47],"be":[48],"included":[49],"step":[52,101,104],"section":[53],"recipe,":[56],"like":[57],"author\u2019s":[60],"communication":[61],"tool.":[62],"such":[64,81,98],"fake":[65,100],"steps":[66,127],"can":[67],"cause":[68],"problems":[69],"when":[70,76],"using":[71],"search":[73],"indexing":[74],"or":[75],"being":[77],"spoken":[78],"by":[79,122],"devices":[80],"as":[82],"smart":[83],"speakers.":[84],"As":[85],"presented":[86],"this":[88],"talk,":[89],"we":[90],"have":[91],"constructed":[92],"discriminator":[94],"that":[95,156],"distinguishes":[96],"between":[97],"used":[106],"cooking.":[108],"This":[109],"project":[110],"includes,":[111],"but":[112],"is":[113],"limited":[115],"to,":[116],"creation":[118],"annotation":[120],"data":[121],"classifying":[123],"analyzing":[125],"construction":[130],"identification":[132],"models.":[133],"Our":[134],"models":[135,149],"use":[136,157],"only":[137],"text":[138],"information":[139],"to":[140],"identify":[141],"step.":[143],"our":[145],"test,":[146],"machine":[147],"learning":[148],"achieved":[150],"higher":[151],"accuracy":[152],"than":[153],"rule-based":[154],"methods":[155],"manually":[158],"chosen":[159],"clue":[160],"words.":[161]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}