{"id":"https://openalex.org/W2983179362","doi":"https://doi.org/10.18653/v1/d19-5555","title":"Unsupervised Neologism Normalization Using Embedding Space Mapping","display_name":"Unsupervised Neologism Normalization Using Embedding Space Mapping","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2983179362","doi":"https://doi.org/10.18653/v1/d19-5555","mag":"2983179362"},"language":"en","primary_location":{"id":"doi:10.18653/v1/d19-5555","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-5555","pdf_url":"https://www.aclweb.org/anthology/D19-5555.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 5th Workshop on Noisy User-generated Text (W-NUT 2019)","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/D19-5555.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5089887413","display_name":"Nasser Zalmout","orcid":null},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nasser Zalmout","raw_affiliation_strings":["Computational Approaches to Modeling Language Lab New York University Abu Dhabi, UAE"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computational Approaches to Modeling Language Lab New York University Abu Dhabi, UAE","institution_ids":["https://openalex.org/I57206974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005163929","display_name":"Kapil Thadani","orcid":null},"institutions":[{"id":"https://openalex.org/I4210134091","display_name":"Yahoo (United States)","ror":"https://ror.org/040dkzz12","country_code":"US","type":"company","lineage":["https://openalex.org/I4210134091"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kapil Thadani","raw_affiliation_strings":["Yahoo Research, New York, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yahoo Research, New York, USA","institution_ids":["https://openalex.org/I4210134091"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113662152","display_name":"Aasish Pappu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210122154","display_name":"Photon Spot (United States)","ror":"https://ror.org/01yxc0v75","country_code":"US","type":"company","lineage":["https://openalex.org/I4210122154"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aasish Pappu","raw_affiliation_strings":["Spotify Research, New York, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Spotify Research, New York, USA","institution_ids":["https://openalex.org/I4210122154"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":13,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"425","last_page":"430"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","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/T10181","display_name":"Natural Language Processing Techniques","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/T10028","display_name":"Topic Modeling","score":0.9984999895095825,"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/T12380","display_name":"Authorship Attribution and Profiling","score":0.9983000159263611,"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/neologism","display_name":"Neologism","score":0.9801615476608276},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7989553213119507},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.749870777130127},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.7217962145805359},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6296300888061523},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.46225661039352417},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.23985028266906738}],"concepts":[{"id":"https://openalex.org/C93285893","wikidata":"https://www.wikidata.org/wiki/Q130989","display_name":"Neologism","level":2,"score":0.9801615476608276},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7989553213119507},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.749870777130127},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.7217962145805359},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6296300888061523},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.46225661039352417},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.23985028266906738},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/d19-5555","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-5555","pdf_url":"https://www.aclweb.org/anthology/D19-5555.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 5th Workshop on Noisy User-generated Text (W-NUT 2019)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/d19-5555","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-5555","pdf_url":"https://www.aclweb.org/anthology/D19-5555.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 5th Workshop on Noisy User-generated Text (W-NUT 2019)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.8100000023841858}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2983179362.pdf","grobid_xml":"https://content.openalex.org/works/W2983179362.grobid-xml"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W46679369","https://openalex.org/W168564468","https://openalex.org/W371426616","https://openalex.org/W1631260214","https://openalex.org/W1964583889","https://openalex.org/W2016871293","https://openalex.org/W2018616927","https://openalex.org/W2057900969","https://openalex.org/W2101105183","https://openalex.org/W2112255502","https://openalex.org/W2153579005","https://openalex.org/W2163942301","https://openalex.org/W2250320835","https://openalex.org/W2250423567","https://openalex.org/W2251237590","https://openalex.org/W2546744831","https://openalex.org/W2567058318","https://openalex.org/W2625915052","https://openalex.org/W2741755398","https://openalex.org/W2962784628","https://openalex.org/W4285719527","https://openalex.org/W4294170691","https://openalex.org/W4295276571"],"related_works":["https://openalex.org/W2982661860","https://openalex.org/W1629787887","https://openalex.org/W2377045322","https://openalex.org/W2360259438","https://openalex.org/W3196372138","https://openalex.org/W2978187168","https://openalex.org/W4286272845","https://openalex.org/W2372225004","https://openalex.org/W2014938407","https://openalex.org/W3204019825"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"an":[3,67],"approach":[4,69,87],"for":[5,46,51,58,70],"detecting":[6,71],"and":[7,27,55,73,94,106,123],"normalizing":[8,75],"neologisms":[9,48,72,122],"in":[10,41],"social":[11],"media":[12],"content.":[13,64],"Neologisms":[14],"refer":[15],"to":[16,22,77,97],"recent":[17],"expressions":[18],"that":[19],"are":[20,28,49],"specific":[21],"certain":[23],"entities":[24],"or":[25],"events":[26],"being":[29],"increasingly":[30],"used":[31],"by":[32],"the":[33,90,99,111],"public,":[34],"but":[35],"have":[36],"not":[37],"yet":[38],"been":[39],"accepted":[40],"mainstream":[42],"language.":[43],"Automated":[44],"methods":[45],"handling":[47],"important":[50],"natural":[52],"language":[53],"understanding":[54],"normalization,":[56],"especially":[57],"informal":[59],"genres":[60],"with":[61,120],"user":[62],"generated":[63],"We":[65,109],"present":[66],"unsupervised":[68],"then":[74],"them":[76],"canonical":[78],"words":[79],"without":[80],"relying":[81],"on":[82,89,114],"parallel":[83],"training":[84],"data.":[85],"Our":[86],"builds":[88],"text":[91],"normalization":[92],"literature":[93],"introduces":[95],"adaptations":[96],"fit":[98],"specificities":[100],"of":[101,117],"this":[102],"task,":[103],"including":[104],"phonetic":[105],"etymological":[107],"considerations.":[108],"evaluate":[110],"proposed":[112],"techniques":[113],"a":[115],"dataset":[116],"Reddit":[118],"comments,":[119],"detected":[121],"corresponding":[124],"normalizations.":[125]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":4}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}