{"id":"https://openalex.org/W3082724149","doi":null,"title":"Unified Humor Detection Based on Sentence-pair Augmentation and Transfer Learning","display_name":"Unified Humor Detection Based on Sentence-pair Augmentation and Transfer Learning","publication_year":2020,"publication_date":"2020-11-01","ids":{"openalex":"https://openalex.org/W3082724149","mag":"3082724149"},"language":"en","primary_location":{"id":"mag:3082724149","doi":null,"is_oa":false,"landing_page_url":"https://www.aclweb.org/anthology/2020.eamt-1.7.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5033151808","display_name":"Minghan Wang","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Minghan Wang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101662205","display_name":"Hao Yang","orcid":"https://orcid.org/0000-0002-3599-9876","observed_orcids":["https://orcid.org/0000-0002-3599-9876"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hao Yang","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-3599-9876","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013250925","display_name":"Ying Hua Qin","orcid":"https://orcid.org/0000-0003-4606-7174","observed_orcids":["https://orcid.org/0000-0003-4606-7174"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ying Qin","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0003-4606-7174","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047846625","display_name":"Shiliang Sun","orcid":"https://orcid.org/0000-0001-7069-3752","observed_orcids":["https://orcid.org/0000-0001-7069-3752"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shiliang Sun","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0001-7069-3752","affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5058452875","display_name":"Yao Hua Deng","orcid":"https://orcid.org/0000-0002-0065-734X","observed_orcids":["https://orcid.org/0000-0002-0065-734X"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yao Deng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4274,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.654778,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"53","last_page":"59"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11795","display_name":"Humor Studies and Applications","score":0.6689000129699707,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11795","display_name":"Humor Studies and Applications","score":0.6689000129699707,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.2632000148296356,"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":0.054499998688697815,"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/humor-detection","display_name":"humor detection","score":0.9959999918937683},{"id":"https://openalex.org/keywords/multilingual-text-classification","display_name":"multilingual text classification","score":0.6639999747276306},{"id":"https://openalex.org/keywords/transfer-learning","display_name":"transfer learning","score":0.6880000233650208},{"id":"https://openalex.org/keywords/multilingual-bert","display_name":"multilingual BERT","score":0.9419999718666077},{"id":"https://openalex.org/keywords/chinese-humor","display_name":"Chinese humor","score":0.4970000088214874},{"id":"https://openalex.org/keywords/russian-humor","display_name":"Russian humor","score":0.9929999709129333},{"id":"https://openalex.org/keywords/spanish-humor","display_name":"Spanish humor","score":1.0}],"concepts":[{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.8006606698036194},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.7425109148025513},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7222774028778076},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7011114954948425},{"id":"https://openalex.org/C2776612492","wikidata":"https://www.wikidata.org/wiki/Q131138","display_name":"Joke","level":2,"score":0.627252459526062},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.47541290521621704},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.45016252994537354},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.37075698375701904},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.2301311492919922},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:3082724149","doi":null,"is_oa":false,"landing_page_url":"https://www.aclweb.org/anthology/2020.eamt-1.7.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2136939460","https://openalex.org/W2163605009","https://openalex.org/W2251785914","https://openalex.org/W2493916176","https://openalex.org/W2798812533","https://openalex.org/W2908510526","https://openalex.org/W2951804840","https://openalex.org/W2963341956","https://openalex.org/W2970252517","https://openalex.org/W2970380064","https://openalex.org/W2971342645"],"related_works":["https://openalex.org/W6889798040","https://openalex.org/W7167062139","https://openalex.org/W4303981828","https://openalex.org/W7166837174","https://openalex.org/W4392962854","https://openalex.org/W4389523730","https://openalex.org/W3023708404","https://openalex.org/W4306377653","https://openalex.org/W3184941768","https://openalex.org/W7221223425"],"abstract_inverted_index":{"We":[0,41,58],"propose":[1,49,59],"a":[2,14,84,92],"unified":[3],"multilingual":[4,26],"model":[5,20],"for":[6],"humor":[7,96,119],"detection":[8,97,120],"which":[9,52,75,112],"can":[10],"be":[11],"trained":[12],"under":[13],"transfer":[15],"learning":[16],"framework.":[17],"1)":[18],"The":[19],"is":[21,29],"built":[22],"based":[23],"on":[24,34,94],"pre-trained":[25],"BERT,":[27],"thereby":[28],"able":[30],"to":[31,67],"make":[32],"predictions":[33],"Chinese,":[35],"Russian":[36],"and":[37,48,81,91,104,106],"Spanish":[38,103],"corpora.":[39],"2)":[40],"step":[42],"out":[43],"from":[44],"single":[45],"sentence":[46],"classification":[47],"sequence-pair":[50],"prediction":[51],"considers":[53],"the":[54,60,69,73,79,114],"inter-sentence":[55],"relationship.":[56],"3)":[57],"Sentence":[61],"Discrepancy":[62],"Prediction":[63],"(SDP)":[64],"loss,":[65],"aiming":[66],"measure":[68],"semantic":[70],"discrepancy":[71],"of":[72,83,116],"sequence-pair,":[74],"often":[76],"appears":[77],"in":[78,99,118],"setup":[80],"punchline":[82],"joke.":[85],"Our":[86],"method":[87],"achieves":[88],"two":[89],"SoTA":[90],"second-place":[93],"three":[95,100],"corpora":[98],"languages":[101],"(Russian,":[102],"Chinese),":[105],"also":[107],"improves":[108],"F1-score":[109],"by":[110],"4%-6%,":[111],"demonstrates":[113],"effectiveness":[115],"it":[117],"tasks.":[121]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2021,"cited_by_count":2}],"updated_date":"2026-09-29T14:09:16.559479","created_date":"2020-09-08T00:00:00"}
