{"id":"https://openalex.org/W2753112823","doi":"https://doi.org/10.18653/v1/s17-2010","title":"HumorHawk at SemEval-2017 Task 6: Mixing Meaning and Sound for Humor Recognition","display_name":"HumorHawk at SemEval-2017 Task 6: Mixing Meaning and Sound for Humor Recognition","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2753112823","doi":"https://doi.org/10.18653/v1/s17-2010","mag":"2753112823"},"language":"en","primary_location":{"id":"doi:10.18653/v1/s17-2010","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/s17-2010","pdf_url":"https://www.aclweb.org/anthology/S17-2010.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 11th International Workshop on Semantic Evaluation (SemEval-2017)","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/S17-2010.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5032351486","display_name":"David M. Donahue","orcid":null},"institutions":[{"id":"https://openalex.org/I133738476","display_name":"University of Massachusetts Lowell","ror":"https://ror.org/03hamhx47","country_code":"US","type":"education","lineage":["https://openalex.org/I133738476"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David Donahue","raw_affiliation_strings":["Dept. of Computer Science University of Massachusetts Lowell 198 Riverside St, Lowell, MA 01854"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science University of Massachusetts Lowell 198 Riverside St, Lowell, MA 01854","institution_ids":["https://openalex.org/I133738476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038929654","display_name":"Alexey Romanov","orcid":"https://orcid.org/0009-0004-0678-4456"},"institutions":[{"id":"https://openalex.org/I133738476","display_name":"University of Massachusetts Lowell","ror":"https://ror.org/03hamhx47","country_code":"US","type":"education","lineage":["https://openalex.org/I133738476"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alexey Romanov","raw_affiliation_strings":["Dept. of Computer Science University of Massachusetts Lowell 198 Riverside St, Lowell, MA 01854"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science University of Massachusetts Lowell 198 Riverside St, Lowell, MA 01854","institution_ids":["https://openalex.org/I133738476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071360545","display_name":"Anna Rumshisky","orcid":null},"institutions":[{"id":"https://openalex.org/I133738476","display_name":"University of Massachusetts Lowell","ror":"https://ror.org/03hamhx47","country_code":"US","type":"education","lineage":["https://openalex.org/I133738476"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anna Rumshisky","raw_affiliation_strings":["Dept. of Computer Science University of Massachusetts Lowell 198 Riverside St, Lowell, MA 01854"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science University of Massachusetts Lowell 198 Riverside St, Lowell, MA 01854","institution_ids":["https://openalex.org/I133738476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I133738476"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"98","last_page":"102"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11795","display_name":"Humor Studies and Applications","score":0.998199999332428,"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":0.998199999332428,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9825999736785889,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T12390","display_name":"Comics and Graphic Narratives","score":0.9014000296592712,"subfield":{"id":"https://openalex.org/subfields/1213","display_name":"Visual Arts and Performing Arts"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/semeval","display_name":"SemEval","score":0.8425266146659851},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7927442193031311},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.682441234588623},{"id":"https://openalex.org/keywords/meaning","display_name":"Meaning (existential)","score":0.6652562022209167},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6089606285095215},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.587690532207489},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5679553151130676},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.5343536138534546},{"id":"https://openalex.org/keywords/character","display_name":"Character (mathematics)","score":0.527700662612915},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5097882151603699},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.45836102962493896},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3540726900100708},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.15726658701896667},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07012614607810974},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.06239044666290283}],"concepts":[{"id":"https://openalex.org/C44572571","wikidata":"https://www.wikidata.org/wiki/Q7448970","display_name":"SemEval","level":3,"score":0.8425266146659851},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7927442193031311},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.682441234588623},{"id":"https://openalex.org/C2780876879","wikidata":"https://www.wikidata.org/wiki/Q3054749","display_name":"Meaning (existential)","level":2,"score":0.6652562022209167},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6089606285095215},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.587690532207489},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5679553151130676},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.5343536138534546},{"id":"https://openalex.org/C2780861071","wikidata":"https://www.wikidata.org/wiki/Q1062934","display_name":"Character (mathematics)","level":2,"score":0.527700662612915},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5097882151603699},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.45836102962493896},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3540726900100708},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.15726658701896667},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07012614607810974},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.06239044666290283},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/s17-2010","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/s17-2010","pdf_url":"https://www.aclweb.org/anthology/S17-2010.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 11th International Workshop on Semantic Evaluation (SemEval-2017)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/s17-2010","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/s17-2010","pdf_url":"https://www.aclweb.org/anthology/S17-2010.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 11th International Workshop on Semantic Evaluation (SemEval-2017)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.8500000238418579}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2753112823.pdf","grobid_xml":"https://content.openalex.org/works/W2753112823.grobid-xml"},"referenced_works_count":20,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1908341209","https://openalex.org/W2033175753","https://openalex.org/W2116782398","https://openalex.org/W2187020092","https://openalex.org/W2250539671","https://openalex.org/W2295598076","https://openalex.org/W2340815412","https://openalex.org/W2411979717","https://openalex.org/W2461338233","https://openalex.org/W2463691193","https://openalex.org/W2471817187","https://openalex.org/W2567437343","https://openalex.org/W2574717657","https://openalex.org/W2577662094","https://openalex.org/W2592080077","https://openalex.org/W2753059774","https://openalex.org/W2964121744","https://openalex.org/W3101913037","https://openalex.org/W3102476541"],"related_works":["https://openalex.org/W3029012650","https://openalex.org/W1988325893","https://openalex.org/W2776212826","https://openalex.org/W3214323197","https://openalex.org/W2805679416","https://openalex.org/W4385571001","https://openalex.org/W2805889480","https://openalex.org/W2805207564","https://openalex.org/W2364761595","https://openalex.org/W2367724584"],"abstract_inverted_index":{"This":[0],"paper":[1],"describes":[2],"the":[3,43,56,97],"winning":[4],"system":[5,29],"for":[6],"SemEval-2017":[7],"Task":[8],"6:":[9],"#HashtagWars:":[10],"Learning":[11],"a":[12,63,80],"Sense":[13],"of":[14],"Humor.":[15],"Humor":[16],"detection":[17],"has":[18],"up":[19],"until":[20],"now":[21],"been":[22],"predominantly":[23],"addressed":[24],"using":[25],"feature-based":[26],"approaches.":[27],"Our":[28],"utilizes":[30],"recurrent":[31],"deep":[32],"learning":[33],"methods":[34],"with":[35,62,79],"dense":[36],"embeddings":[37,59],"to":[38,49,67,71],"predict":[39],"humorous":[40],"tweets":[41],"from":[42],"@midnight":[44],"show":[45],"#HashtagWars.":[46],"In":[47],"order":[48],"include":[50],"both":[51],"meaning":[52],"and":[53,84],"sound":[54],"in":[55,88,96],"analysis,":[57],"GloVe":[58],"are":[60],"combined":[61,78],"novel":[64],"phonetic":[65],"representation":[66],"serve":[68],"as":[69],"input":[70],"an":[72,85,89],"LSTM":[73],"component.":[74],"The":[75],"output":[76],"is":[77],"character-based":[81],"CNN":[82],"model,":[83],"XG-Boost":[86],"component":[87],"ensemble":[90],"model":[91],"which":[92],"achieved":[93],"0.675":[94],"accuracy":[95],"official":[98],"task":[99],"evaluation.":[100]},"counts_by_year":[{"year":2021,"cited_by_count":5},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-19T07:52:34.831488","created_date":"2025-10-10T00:00:00"}