{"id":"https://openalex.org/W2798353995","doi":"https://doi.org/10.18653/v1/p18-2121","title":"Pretraining Sentiment Classifiers with Unlabeled Dialog Data","display_name":"Pretraining Sentiment Classifiers with Unlabeled Dialog Data","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2798353995","doi":"https://doi.org/10.18653/v1/p18-2121","mag":"2798353995"},"language":"en","primary_location":{"id":"doi:10.18653/v1/p18-2121","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p18-2121","pdf_url":"https://www.aclweb.org/anthology/P18-2121.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 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/P18-2121.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5037129157","display_name":"Toru Shimizu","orcid":"https://orcid.org/0000-0003-1385-477X"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Toru Shimizu","raw_affiliation_strings":["Yahoo Japan Corporation"],"affiliations":[{"raw_affiliation_string":"Yahoo Japan Corporation","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017387514","display_name":"Nobuyuki Shimizu","orcid":"https://orcid.org/0000-0001-6767-3662"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nobuyuki Shimizu","raw_affiliation_strings":["Yahoo Japan Corporation"],"affiliations":[{"raw_affiliation_string":"Yahoo Japan Corporation","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110773745","display_name":"Hayato Kobayashi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210126580","display_name":"RIKEN Center for Advanced Intelligence Project","ror":"https://ror.org/03ckxwf91","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210110652","https://openalex.org/I4210126580"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hayato Kobayashi","raw_affiliation_strings":["Riken AIP","Yahoo Japan Corporation"],"affiliations":[{"raw_affiliation_string":"Riken AIP","institution_ids":["https://openalex.org/I4210126580"]},{"raw_affiliation_string":"Yahoo Japan Corporation","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5037129157"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9773,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.81363776,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"764","last_page":"770"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9997000098228455,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9997000098228455,"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":0.998199999332428,"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":0.9977999925613403,"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/dialog-box","display_name":"Dialog box","score":0.776494026184082},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7054668664932251},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6832611560821533},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.6315328478813171},{"id":"https://openalex.org/keywords/labeled-data","display_name":"Labeled data","score":0.4473148286342621},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4295429587364197},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3299434781074524},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32537946105003357},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.12227517366409302}],"concepts":[{"id":"https://openalex.org/C173853756","wikidata":"https://www.wikidata.org/wiki/Q86915","display_name":"Dialog box","level":2,"score":0.776494026184082},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7054668664932251},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6832611560821533},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.6315328478813171},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.4473148286342621},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4295429587364197},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3299434781074524},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32537946105003357},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.12227517366409302}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/p18-2121","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p18-2121","pdf_url":"https://www.aclweb.org/anthology/P18-2121.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 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/p18-2121","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p18-2121","pdf_url":"https://www.aclweb.org/anthology/P18-2121.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 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.6299999952316284,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2798353995.pdf","grobid_xml":"https://content.openalex.org/works/W2798353995.grobid-xml"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W6908809","https://openalex.org/W104683736","https://openalex.org/W2112251034","https://openalex.org/W2113125055","https://openalex.org/W2118585731","https://openalex.org/W2124156373","https://openalex.org/W2130942839","https://openalex.org/W2144378002","https://openalex.org/W2168681026","https://openalex.org/W2250243742","https://openalex.org/W2250879510","https://openalex.org/W2251924628","https://openalex.org/W2252215182","https://openalex.org/W2263859238","https://openalex.org/W2464112344","https://openalex.org/W2469552799","https://openalex.org/W2473593971","https://openalex.org/W2514567832","https://openalex.org/W2555428947","https://openalex.org/W2562439797","https://openalex.org/W2565875961","https://openalex.org/W2572971737","https://openalex.org/W2750752261","https://openalex.org/W2759477115","https://openalex.org/W2785925437","https://openalex.org/W2949709688","https://openalex.org/W2952729433","https://openalex.org/W2963357083","https://openalex.org/W4297673324","https://openalex.org/W4307459710"],"related_works":["https://openalex.org/W3107474891","https://openalex.org/W3192794374","https://openalex.org/W4200526184","https://openalex.org/W1872130062","https://openalex.org/W4285815787","https://openalex.org/W4281608370","https://openalex.org/W3107602296","https://openalex.org/W3015597294","https://openalex.org/W2901590103","https://openalex.org/W3021397509"],"abstract_inverted_index":{"The":[0],"huge":[1],"cost":[2],"of":[3,36,56,101],"creating":[4],"labeled":[5],"training":[6],"data":[7,27,84],"is":[8],"a":[9,29,46,51,57,63,68,73,78],"common":[10],"problem":[11],"for":[12,67],"supervised":[13],"learning":[14],"tasks":[15],"such":[16],"as":[17,72],"sentiment":[18,64,102],"classification.":[19],"Recent":[20],"studies":[21],"showed":[22],"that":[23,94],"pretraining":[24,79],"with":[25,81],"unlabeled":[26,82],"via":[28,87],"language":[30,53,58,110],"model":[31,111],"can":[32,97],"improve":[33,98],"the":[34,44,99],"performance":[35,100],"classification":[37,65],"models.":[38],"In":[39],"this":[40],"paper,":[41],"we":[42,61],"take":[43],"concept":[45],"step":[47],"further":[48],"by":[49],"using":[50],"conditional":[52],"model,":[54],"instead":[55],"model.":[59,90],"Specifically,":[60],"address":[62],"task":[66],"tweet":[69],"analysis":[70],"service":[71],"case":[74],"study":[75],"and":[76,104],"propose":[77],"strategy":[80,96],"dialog":[83],"(tweet-reply":[85],"pairs)":[86],"an":[88],"encoder-decoder":[89],"Experimental":[91],"results":[92],"show":[93],"our":[95],"classifiers":[103],"outperform":[105],"several":[106],"state-of-theart":[107],"strategies":[108],"including":[109],"pretraining.":[112]},"counts_by_year":[{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}