{"id":"https://openalex.org/W2153728818","doi":"https://doi.org/10.3115/1118675.1118688","title":"Combining contextual features for word sense disambiguation","display_name":"Combining contextual features for word sense disambiguation","publication_year":2002,"publication_date":"2002-01-01","ids":{"openalex":"https://openalex.org/W2153728818","doi":"https://doi.org/10.3115/1118675.1118688","mag":"2153728818"},"language":"en","primary_location":{"id":"doi:10.3115/1118675.1118688","is_oa":true,"landing_page_url":"https://doi.org/10.3115/1118675.1118688","pdf_url":"https://dl.acm.org/doi/pdf/10.3115/1118675.1118688","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACL-02 workshop on Word sense disambiguation recent successes and future directions -","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.3115/1118675.1118688","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5109409280","display_name":"Hoa Trang Dang","orcid":null},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Hoa Trang Dang","raw_affiliation_strings":["University of Pennsylvania, Philadelphia, PA"],"affiliations":[{"raw_affiliation_string":"University of Pennsylvania, Philadelphia, PA","institution_ids":["https://openalex.org/I79576946"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017464054","display_name":"Martha Palmer","orcid":"https://orcid.org/0000-0001-9864-6974"},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Martha Palmer","raw_affiliation_strings":["University of Pennsylvania, Philadelphia, PA"],"affiliations":[{"raw_affiliation_string":"University of Pennsylvania, Philadelphia, PA","institution_ids":["https://openalex.org/I79576946"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5109409280"],"corresponding_institution_ids":["https://openalex.org/I79576946"],"apc_list":null,"apc_paid":null,"fwci":3.4104,"has_fulltext":true,"cited_by_count":29,"citation_normalized_percentile":{"value":0.93130671,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"8","issue":null,"first_page":"88","last_page":"94"},"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":0.9998000264167786,"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":0.9977999925613403,"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/word-sense-disambiguation","display_name":"Word-sense disambiguation","score":0.882517397403717},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8340063095092773},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.7697654366493225},{"id":"https://openalex.org/keywords/semeval","display_name":"SemEval","score":0.7406373023986816},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6577529311180115},{"id":"https://openalex.org/keywords/principle-of-maximum-entropy","display_name":"Principle of maximum entropy","score":0.5608806014060974},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.5506561994552612},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.441854327917099},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.2990168333053589},{"id":"https://openalex.org/keywords/wordnet","display_name":"WordNet","score":0.16501516103744507}],"concepts":[{"id":"https://openalex.org/C51646954","wikidata":"https://www.wikidata.org/wiki/Q48522","display_name":"Word-sense disambiguation","level":3,"score":0.882517397403717},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8340063095092773},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.7697654366493225},{"id":"https://openalex.org/C44572571","wikidata":"https://www.wikidata.org/wiki/Q7448970","display_name":"SemEval","level":3,"score":0.7406373023986816},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6577529311180115},{"id":"https://openalex.org/C9679016","wikidata":"https://www.wikidata.org/wiki/Q1417473","display_name":"Principle of maximum entropy","level":2,"score":0.5608806014060974},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.5506561994552612},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.441854327917099},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.2990168333053589},{"id":"https://openalex.org/C157659113","wikidata":"https://www.wikidata.org/wiki/Q533822","display_name":"WordNet","level":2,"score":0.16501516103744507},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3115/1118675.1118688","is_oa":true,"landing_page_url":"https://doi.org/10.3115/1118675.1118688","pdf_url":"https://dl.acm.org/doi/pdf/10.3115/1118675.1118688","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACL-02 workshop on Word sense disambiguation recent successes and future directions -","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.5.7304","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.5.7304","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/W/W02/W02-0813.pdf","raw_type":"text"}],"best_oa_location":{"id":"doi:10.3115/1118675.1118688","is_oa":true,"landing_page_url":"https://doi.org/10.3115/1118675.1118688","pdf_url":"https://dl.acm.org/doi/pdf/10.3115/1118675.1118688","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACL-02 workshop on Word sense disambiguation recent successes and future directions -","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.6499999761581421,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G7226875397","display_name":"MLIAM: ISLE-International Standards for Language Engineering","funder_award_id":"9910603","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320309370","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10"},{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2153728818.pdf","grobid_xml":"https://content.openalex.org/works/W2153728818.grobid-xml"},"referenced_works_count":20,"referenced_works":["https://openalex.org/W3851596","https://openalex.org/W143727535","https://openalex.org/W1489348810","https://openalex.org/W1510514866","https://openalex.org/W1584810448","https://openalex.org/W1973972371","https://openalex.org/W1986543644","https://openalex.org/W2017258330","https://openalex.org/W2048374711","https://openalex.org/W2096175520","https://openalex.org/W2123489126","https://openalex.org/W2157025692","https://openalex.org/W2158873310","https://openalex.org/W2163918411","https://openalex.org/W2403515192","https://openalex.org/W2788296320","https://openalex.org/W2788827968","https://openalex.org/W2949743947","https://openalex.org/W2952828185","https://openalex.org/W4302585900"],"related_works":["https://openalex.org/W2101293500","https://openalex.org/W2384058382","https://openalex.org/W2000205775","https://openalex.org/W2251529656","https://openalex.org/W2324822715","https://openalex.org/W2330879361","https://openalex.org/W2140343536","https://openalex.org/W2188275805","https://openalex.org/W3012220652","https://openalex.org/W2062413478"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3,12],"present":[4],"a":[5],"maximum":[6],"entropy":[7],"Word":[8],"Sense":[9],"Disambiguation":[10],"system":[11],"developed":[13],"which":[14],"performs":[15],"competitively":[16],"on":[17],"SENSEVAL-2":[18],"test":[19],"data":[20],"for":[21],"English":[22],"verbs.":[23],"We":[24],"demonstrate":[25],"that":[26],"using":[27],"richer":[28],"linguistic":[29],"contextual":[30],"features":[31],"significantly":[32],"improves":[33],"tagging":[34],"accuracy,":[35],"and":[36,50],"compare":[37],"the":[38,56],"system's":[39],"performance":[40,44],"with":[41],"human":[42],"annotator":[43],"in":[45],"light":[46],"of":[47],"both":[48],"fine-grained":[49],"coarse-grained":[51],"sense":[52,57],"distinctions":[53],"made":[54],"by":[55],"inventory.":[58]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":2}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}