{"id":"https://openalex.org/W2464112344","doi":"https://doi.org/10.18653/v1/n16-1016","title":"A Long Short-Term Memory Framework for Predicting Humor in Dialogues","display_name":"A Long Short-Term Memory Framework for Predicting Humor in Dialogues","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2464112344","doi":"https://doi.org/10.18653/v1/n16-1016","mag":"2464112344"},"language":"en","primary_location":{"id":"doi:10.18653/v1/n16-1016","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/n16-1016","pdf_url":null,"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 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.18653/v1/n16-1016","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5052137623","display_name":"Dario Bertero","orcid":"https://orcid.org/0000-0003-0065-0751"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dario Bertero","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5065856469","display_name":"Pascale Fung","orcid":"https://orcid.org/0000-0002-0628-7132"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pascale Fung","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":null,"has_fulltext":false,"cited_by_count":95,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"130","last_page":"135"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11795","display_name":"Humor Studies and Applications","score":0.9991999864578247,"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":0.9991999864578247,"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/T11148","display_name":"Language, Metaphor, and Cognition","score":0.9657999873161316,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive 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":0.9025999903678894,"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/term","display_name":"Term (time)","score":0.7385858297348022},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6647164821624756},{"id":"https://openalex.org/keywords/long-term-memory","display_name":"Long-term memory","score":0.5551936030387878},{"id":"https://openalex.org/keywords/long-short-term-memory","display_name":"Long short term memory","score":0.5352784991264343},{"id":"https://openalex.org/keywords/short-term-memory","display_name":"Short-term memory","score":0.4170655906200409},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.40488678216934204},{"id":"https://openalex.org/keywords/cognitive-science","display_name":"Cognitive science","score":0.3959023356437683},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37926164269447327},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.3589034676551819},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.2515344023704529},{"id":"https://openalex.org/keywords/working-memory","display_name":"Working memory","score":0.15550580620765686},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.1387043595314026},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.09451562166213989},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.09289327263832092},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.07283949851989746}],"concepts":[{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.7385858297348022},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6647164821624756},{"id":"https://openalex.org/C24590219","wikidata":"https://www.wikidata.org/wiki/Q18601","display_name":"Long-term memory","level":3,"score":0.5551936030387878},{"id":"https://openalex.org/C133488467","wikidata":"https://www.wikidata.org/wiki/Q6673524","display_name":"Long short term memory","level":4,"score":0.5352784991264343},{"id":"https://openalex.org/C179226034","wikidata":"https://www.wikidata.org/wiki/Q18599","display_name":"Short-term memory","level":4,"score":0.4170655906200409},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.40488678216934204},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.3959023356437683},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37926164269447327},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.3589034676551819},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.2515344023704529},{"id":"https://openalex.org/C21963081","wikidata":"https://www.wikidata.org/wiki/Q11337567","display_name":"Working memory","level":3,"score":0.15550580620765686},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.1387043595314026},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.09451562166213989},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.09289327263832092},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.07283949851989746},{"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":2,"locations":[{"id":"doi:10.18653/v1/n16-1016","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/n16-1016","pdf_url":null,"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 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-77757","is_oa":false,"landing_page_url":"https://repository.hkust.edu.hk/ir/Record/1783.1-77757","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference paper"}],"best_oa_location":{"id":"doi:10.18653/v1/n16-1016","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/n16-1016","pdf_url":null,"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 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W38739846","https://openalex.org/W56758227","https://openalex.org/W1614298861","https://openalex.org/W1976927724","https://openalex.org/W2009578396","https://openalex.org/W2041400887","https://openalex.org/W2064675550","https://openalex.org/W2081580037","https://openalex.org/W2095705004","https://openalex.org/W2112344871","https://openalex.org/W2115613106","https://openalex.org/W2143612262","https://openalex.org/W2147880316","https://openalex.org/W2158899491","https://openalex.org/W2159640018","https://openalex.org/W2250710744","https://openalex.org/W2251676327","https://openalex.org/W2251785914","https://openalex.org/W2251920663","https://openalex.org/W2263859238","https://openalex.org/W2398610312","https://openalex.org/W2574717657","https://openalex.org/W2949952998"],"related_works":["https://openalex.org/W4225519494","https://openalex.org/W4294018740","https://openalex.org/W2963503898","https://openalex.org/W1494049244","https://openalex.org/W2323713234","https://openalex.org/W2619402516","https://openalex.org/W2066294400","https://openalex.org/W1985942784","https://openalex.org/W2181792687","https://openalex.org/W4253897977"],"abstract_inverted_index":{"We":[0,18,37,77,97],"propose":[1],"a":[2,7,22,46,55,72],"first-ever":[3],"attempt":[4],"to":[5,13,65,99,105,111],"employ":[6,100],"Long":[8,47],"Short-Term":[9,48],"memory":[10],"based":[11],"framework":[12,62],"predict":[14],"humor":[15,44,102],"in":[16],"dialogues.":[17],"analyze":[19],"data":[20],"from":[21,54],"popular":[23],"TV-sitcom,":[24],"whose":[25],"canned":[26],"laughters":[27],"give":[28],"an":[29],"indication":[30],"of":[31,42,69,90],"when":[32],"the":[33,39,67,80,84,88,95],"audience":[34],"would":[35],"react.":[36],"model":[38,104],"setup-punchline":[40,85],"relation":[41,86],"conversational":[43],"with":[45,50],"Memory,":[49],"utterance":[51],"encodings":[52],"obtained":[53],"Convolutional":[56],"Neural":[57],"Network.":[58],"Out":[59],"neural":[60],"network":[61],"is":[63],"able":[64,110],"improve":[66],"F-score":[68],"8%":[70],"over":[71],"Conditional":[73],"Random":[74],"Field":[75],"baseline.":[76],"show":[78],"how":[79],"LSTM":[81],"effectively":[82],"models":[83],"reducing":[87],"number":[89],"false":[91],"positives":[92],"and":[93],"increasing":[94],"recall.":[96],"aim":[98],"our":[101],"prediction":[103],"build":[106],"effective":[107],"empathetic":[108],"machine":[109],"understand":[112],"jokes.":[113]},"counts_by_year":[{"year":2026,"cited_by_count":26},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":14},{"year":2020,"cited_by_count":15},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":12},{"year":2017,"cited_by_count":7},{"year":2016,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
