{"id":"https://openalex.org/W2607916397","doi":"https://doi.org/10.1145/3041021.3054257","title":"Identification of Homographic Pun Location for Pun Understanding","display_name":"Identification of Homographic Pun Location for Pun Understanding","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2607916397","doi":"https://doi.org/10.1145/3041021.3054257","mag":"2607916397"},"language":"en","primary_location":{"id":"doi:10.1145/3041021.3054257","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3041021.3054257","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 26th International Conference on World Wide Web Companion  - WWW '17 Companion","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3041021.3054257","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048096590","display_name":"Yu-Hsiang Huang","orcid":"https://orcid.org/0000-0001-8162-7806"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Yu-Hsiang Huang","raw_affiliation_strings":["National Taiwan University, Taipei, Taiwan Roc"],"affiliations":[{"raw_affiliation_string":"National Taiwan University, Taipei, Taiwan Roc","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053932280","display_name":"Hen\u2010Hsen Huang","orcid":"https://orcid.org/0000-0001-9169-3081"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Hen-Hsen Huang","raw_affiliation_strings":["National Taiwan University, Taipei, Taiwan Roc"],"affiliations":[{"raw_affiliation_string":"National Taiwan University, Taipei, Taiwan Roc","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000334344","display_name":"Hsin\u2010Hsi Chen","orcid":"https://orcid.org/0000-0001-9757-9423"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Hsin-Hsi Chen","raw_affiliation_strings":["National Taiwan University, Taipei, Taiwan Roc"],"affiliations":[{"raw_affiliation_string":"National Taiwan University, Taipei, Taiwan Roc","institution_ids":["https://openalex.org/I16733864"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5048096590"],"corresponding_institution_ids":["https://openalex.org/I16733864"],"apc_list":null,"apc_paid":null,"fwci":1.1724,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.80288183,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"797","last_page":"798"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11795","display_name":"Humor Studies and Applications","score":0.9954000115394592,"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":0.9954000115394592,"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":0.9623000025749207,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9232000112533569,"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/pun","display_name":"Pun","score":0.9776860475540161},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6741030216217041},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6663110256195068},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6531541347503662},{"id":"https://openalex.org/keywords/nominate","display_name":"NOMINATE","score":0.584073543548584},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.18637242913246155},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09854122996330261},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.07043832540512085},{"id":"https://openalex.org/keywords/philosophy","display_name":"Philosophy","score":0.05492272973060608}],"concepts":[{"id":"https://openalex.org/C23929507","wikidata":"https://www.wikidata.org/wiki/Q263668","display_name":"Pun","level":2,"score":0.9776860475540161},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6741030216217041},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6663110256195068},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6531541347503662},{"id":"https://openalex.org/C140367253","wikidata":"https://www.wikidata.org/wiki/Q6954911","display_name":"NOMINATE","level":2,"score":0.584073543548584},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.18637242913246155},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09854122996330261},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.07043832540512085},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.05492272973060608},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3041021.3054257","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3041021.3054257","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 26th International Conference on World Wide Web Companion  - WWW '17 Companion","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3041021.3054257","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3041021.3054257","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 26th International Conference on World Wide Web Companion  - WWW '17 Companion","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W2127289991","https://openalex.org/W2250418535","https://openalex.org/W2251092808","https://openalex.org/W2463691193"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2521605489","https://openalex.org/W2468827065","https://openalex.org/W2347675287","https://openalex.org/W4244590767","https://openalex.org/W2358197094","https://openalex.org/W2356950681","https://openalex.org/W2386163479","https://openalex.org/W2364338477"],"abstract_inverted_index":{"This":[0],"paper":[1],"introduces":[2],"a":[3],"novel":[4],"framework":[5],"for":[6,33],"homographic":[7],"pun":[8,25,34,40],"location":[9],"identification.":[10,35],"Two":[11],"observations,":[12],"the":[13,16,20,24,39,45,56],"existence":[14],"of":[15,23,58],"support":[17],"term":[18],"and":[19,42],"preferred":[21],"positions":[22],"in":[26],"context,":[27],"are":[28],"considered":[29],"as":[30],"crucial":[31],"hints":[32],"We":[36],"first":[37],"nominate":[38],"candidates,":[41],"then":[43],"select":[44],"most":[46],"probable":[47],"one":[48],"based":[49],"on":[50],"various":[51],"strategies.":[52],"Experimental":[53],"results":[54],"show":[55],"effectiveness":[57],"our":[59],"method.":[60]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
