{"id":"https://openalex.org/W2160053217","doi":"https://doi.org/10.3115/1219840.1219890","title":"Domain kernels for word sense disambiguation","display_name":"Domain kernels for word sense disambiguation","publication_year":2005,"publication_date":"2005-01-01","ids":{"openalex":"https://openalex.org/W2160053217","doi":"https://doi.org/10.3115/1219840.1219890","mag":"2160053217"},"language":"en","primary_location":{"id":"doi:10.3115/1219840.1219890","is_oa":true,"landing_page_url":"https://doi.org/10.3115/1219840.1219890","pdf_url":"https://dl.acm.org/doi/pdf/10.3115/1219840.1219890","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics - ACL '05","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.3115/1219840.1219890","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5087419620","display_name":"Alfio Gliozzo","orcid":"https://orcid.org/0000-0002-8044-2911"},"institutions":[{"id":"https://openalex.org/I4210097842","display_name":"Istituto Centrale per la Ricerca Scientifica e Tecnologica Applicata al Mare","ror":"https://ror.org/014cycx13","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210097842"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Alfio Gliozzo","raw_affiliation_strings":["ITC-irst, Istituto per la Ricerca Scientifica e Tecnologica, Trento, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ITC-irst, Istituto per la Ricerca Scientifica e Tecnologica, Trento, Italy","institution_ids":["https://openalex.org/I4210097842"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062913763","display_name":"Claudio Giuliano","orcid":"https://orcid.org/0000-0002-2329-6372"},"institutions":[{"id":"https://openalex.org/I4210097842","display_name":"Istituto Centrale per la Ricerca Scientifica e Tecnologica Applicata al Mare","ror":"https://ror.org/014cycx13","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210097842"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Claudio Giuliano","raw_affiliation_strings":["ITC-irst, Istituto per la Ricerca Scientifica e Tecnologica, Trento, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ITC-irst, Istituto per la Ricerca Scientifica e Tecnologica, Trento, Italy","institution_ids":["https://openalex.org/I4210097842"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006685038","display_name":"Carlo Strapparava","orcid":"https://orcid.org/0000-0002-9365-0242"},"institutions":[{"id":"https://openalex.org/I4210097842","display_name":"Istituto Centrale per la Ricerca Scientifica e Tecnologica Applicata al Mare","ror":"https://ror.org/014cycx13","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210097842"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Carlo Strapparava","raw_affiliation_strings":["ITC-irst, Istituto per la Ricerca Scientifica e Tecnologica, Trento, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ITC-irst, Istituto per la Ricerca Scientifica e Tecnologica, Trento, Italy","institution_ids":["https://openalex.org/I4210097842"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210097842"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":73,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"403","last_page":"410"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":1.0,"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":1.0,"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":0.9993000030517578,"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/T12031","display_name":"Speech and dialogue systems","score":0.9979000091552734,"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/computer-science","display_name":"Computer science","score":0.7452966570854187},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7083849906921387},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6415829062461853},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5796741247177124},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5418745279312134},{"id":"https://openalex.org/keywords/tree-kernel","display_name":"Tree kernel","score":0.5383558869361877},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5187280774116516},{"id":"https://openalex.org/keywords/syntagmatic-analysis","display_name":"Syntagmatic analysis","score":0.46910104155540466},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.45626118779182434},{"id":"https://openalex.org/keywords/semi-supervised-learning","display_name":"Semi-supervised learning","score":0.4474209249019623},{"id":"https://openalex.org/keywords/polynomial-kernel","display_name":"Polynomial kernel","score":0.4454859495162964},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.4016960859298706},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3730916678905487},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.22874635457992554},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17958775162696838},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.08543798327445984},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.08002224564552307}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7452966570854187},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7083849906921387},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6415829062461853},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5796741247177124},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5418745279312134},{"id":"https://openalex.org/C140417398","wikidata":"https://www.wikidata.org/wiki/Q16933942","display_name":"Tree kernel","level":5,"score":0.5383558869361877},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5187280774116516},{"id":"https://openalex.org/C29155451","wikidata":"https://www.wikidata.org/wiki/Q3625450","display_name":"Syntagmatic analysis","level":2,"score":0.46910104155540466},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.45626118779182434},{"id":"https://openalex.org/C58973888","wikidata":"https://www.wikidata.org/wiki/Q1041418","display_name":"Semi-supervised learning","level":2,"score":0.4474209249019623},{"id":"https://openalex.org/C160446489","wikidata":"https://www.wikidata.org/wiki/Q7226642","display_name":"Polynomial kernel","level":4,"score":0.4454859495162964},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.4016960859298706},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3730916678905487},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.22874635457992554},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17958775162696838},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.08543798327445984},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.08002224564552307},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3115/1219840.1219890","is_oa":true,"landing_page_url":"https://doi.org/10.3115/1219840.1219890","pdf_url":"https://dl.acm.org/doi/pdf/10.3115/1219840.1219890","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics - ACL '05","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.100.7565","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.100.7565","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://tcc.itc.it/projects/ontotext/Publications/acl2005-final.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.128.4995","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.128.4995","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://acl.ldc.upenn.edu/p/p05/p05-1050.pdf","raw_type":"text"}],"best_oa_location":{"id":"doi:10.3115/1219840.1219890","is_oa":true,"landing_page_url":"https://doi.org/10.3115/1219840.1219890","pdf_url":"https://dl.acm.org/doi/pdf/10.3115/1219840.1219890","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics - ACL '05","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.7599999904632568,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2160053217.pdf","grobid_xml":"https://content.openalex.org/works/W2160053217.grobid-xml"},"referenced_works_count":16,"referenced_works":["https://openalex.org/W22702538","https://openalex.org/W98435347","https://openalex.org/W1510073064","https://openalex.org/W1563088657","https://openalex.org/W1601740268","https://openalex.org/W1956559956","https://openalex.org/W1974406477","https://openalex.org/W1996156594","https://openalex.org/W2094618127","https://openalex.org/W2147152072","https://openalex.org/W2161103800","https://openalex.org/W2166843810","https://openalex.org/W2325227998","https://openalex.org/W2552183030","https://openalex.org/W3160981298","https://openalex.org/W3161401723"],"related_works":["https://openalex.org/W3013206934","https://openalex.org/W2130792056","https://openalex.org/W2160392347","https://openalex.org/W1535136526","https://openalex.org/W32136235","https://openalex.org/W2088821791","https://openalex.org/W1590832708","https://openalex.org/W2090782076","https://openalex.org/W1984421104","https://openalex.org/W4294351650"],"abstract_inverted_index":{"In":[0,19],"this":[1],"paper":[2],"we":[3],"present":[4],"a":[5,21,38,65],"supervised":[6,54],"Word":[7],"Sense":[8],"Disambiguation":[9],"methodology,":[10],"that":[11,45],"exploits":[12],"kernel":[13,24,39],"methods":[14],"to":[15,28,48],"model":[16],"sense":[17],"distinctions.":[18],"particular":[20],"combination":[22],"of":[23,75,96,102],"functions":[25],"is":[26,59,71],"adopted":[27],"estimate":[29],"independently":[30],"both":[31],"syntagmatic":[32],"and":[33,69],"domain":[34],"similarity.":[35],"We":[36,78],"defined":[37],"function,":[40],"namely":[41],"the":[42,53,92,100],"Domain":[43,76],"Kernel,":[44],"allowed":[46],"us":[47],"plug":[49],"\"external":[50],"knowledge\"":[51],"into":[52],"learning":[55],"process.":[56],"External":[57],"knowledge":[58],"acquired":[60],"from":[61],"unlabeled":[62],"data":[63,105],"in":[64,87],"totally":[66],"unsupervised":[67],"way,":[68],"it":[70],"represented":[72],"by":[73],"means":[74],"Models.":[77],"evaluated":[79],"our":[80],"methodology":[81],"on":[82],"several":[83],"lexical":[84],"sample":[85],"tasks":[86],"different":[88],"languages,":[89],"outperforming":[90],"significantly":[91],"state-of-the-art":[93],"for":[94,107],"each":[95],"them,":[97],"while":[98],"reducing":[99],"amount":[101],"labeled":[103],"training":[104],"required":[106],"learning.":[108]},"counts_by_year":[{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":6},{"year":2012,"cited_by_count":6}],"updated_date":"2026-07-19T07:52:34.831488","created_date":"2025-10-10T00:00:00"}
