{"id":"https://openalex.org/W2120008680","doi":"https://doi.org/10.1142/s0218213008004011","title":"LARGE SCALE EXPERIMENTS WITH NAIVE BAYES AND DECISION TREES FOR FUNCTION TAGGING","display_name":"LARGE SCALE EXPERIMENTS WITH NAIVE BAYES AND DECISION TREES FOR FUNCTION TAGGING","publication_year":2008,"publication_date":"2008-06-01","ids":{"openalex":"https://openalex.org/W2120008680","doi":"https://doi.org/10.1142/s0218213008004011","mag":"2120008680"},"language":"en","primary_location":{"id":"doi:10.1142/s0218213008004011","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218213008004011","pdf_url":null,"source":{"id":"https://openalex.org/S178780388","display_name":"International Journal of Artificial Intelligence Tools","issn_l":"0218-2130","issn":["0218-2130","1793-6349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal on Artificial Intelligence Tools","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5026888231","display_name":"Mihai Lintean","orcid":null},"institutions":[{"id":"https://openalex.org/I94658018","display_name":"University of Memphis","ror":"https://ror.org/01cq23130","country_code":"US","type":"education","lineage":["https://openalex.org/I94658018"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"MIHAI LINTEAN","raw_affiliation_strings":["Department of Computer Science, Institute for Intelligent Systems, The University of Memphis, Memphis, TN 38152, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Institute for Intelligent Systems, The University of Memphis, Memphis, TN 38152, USA","institution_ids":["https://openalex.org/I94658018"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045839835","display_name":"Vasile Rus","orcid":"https://orcid.org/0000-0003-3706-887X"},"institutions":[{"id":"https://openalex.org/I94658018","display_name":"University of Memphis","ror":"https://ror.org/01cq23130","country_code":"US","type":"education","lineage":["https://openalex.org/I94658018"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"VASILE RUS","raw_affiliation_strings":["Department of Computer Science, Institute for Intelligent Systems, The University of Memphis, Memphis, TN 38152, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Institute for Intelligent Systems, The University of Memphis, Memphis, TN 38152, USA","institution_ids":["https://openalex.org/I94658018"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5026888231"],"corresponding_institution_ids":["https://openalex.org/I94658018"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.09682315,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"17","issue":"03","first_page":"483","last_page":"499"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9994999766349792,"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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":0.8836323618888855},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.6900606155395508},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6766841411590576},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.6597239971160889},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.6444615721702576},{"id":"https://openalex.org/keywords/treebank","display_name":"Treebank","score":0.5502073764801025},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.521980881690979},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.5196608304977417},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4930209815502167},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4755173325538635},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.46724581718444824},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.45602744817733765},{"id":"https://openalex.org/keywords/parse-tree","display_name":"Parse tree","score":0.4539092481136322},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4186161458492279},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.1894841492176056}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8836323618888855},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.6900606155395508},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6766841411590576},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.6597239971160889},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.6444615721702576},{"id":"https://openalex.org/C206134035","wikidata":"https://www.wikidata.org/wiki/Q811525","display_name":"Treebank","level":3,"score":0.5502073764801025},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.521980881690979},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.5196608304977417},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4930209815502167},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4755173325538635},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.46724581718444824},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.45602744817733765},{"id":"https://openalex.org/C2781466058","wikidata":"https://www.wikidata.org/wiki/Q627921","display_name":"Parse tree","level":3,"score":0.4539092481136322},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4186161458492279},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.1894841492176056},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218213008004011","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218213008004011","pdf_url":null,"source":{"id":"https://openalex.org/S178780388","display_name":"International Journal of Artificial Intelligence Tools","issn_l":"0218-2130","issn":["0218-2130","1793-6349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal on Artificial Intelligence Tools","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6100000143051147,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W58522540","https://openalex.org/W179179905","https://openalex.org/W349770100","https://openalex.org/W655662964","https://openalex.org/W1508191042","https://openalex.org/W1535015163","https://openalex.org/W1550206324","https://openalex.org/W1570448133","https://openalex.org/W1594031697","https://openalex.org/W1605136288","https://openalex.org/W1625504505","https://openalex.org/W1642968378","https://openalex.org/W1840338487","https://openalex.org/W1924403233","https://openalex.org/W1986543644","https://openalex.org/W2081402703","https://openalex.org/W2092654472","https://openalex.org/W2097606805","https://openalex.org/W2098162425","https://openalex.org/W2110416098","https://openalex.org/W2111022379","https://openalex.org/W2118558954","https://openalex.org/W2119325477","https://openalex.org/W2125055259","https://openalex.org/W2127071136","https://openalex.org/W2149706766","https://openalex.org/W2151170651","https://openalex.org/W2158890594","https://openalex.org/W2914250182","https://openalex.org/W3198494294","https://openalex.org/W4232724009","https://openalex.org/W4285719527","https://openalex.org/W4297957988"],"related_works":["https://openalex.org/W1043255351","https://openalex.org/W2135057643","https://openalex.org/W1533278948","https://openalex.org/W1781980207","https://openalex.org/W2109902858","https://openalex.org/W28706907","https://openalex.org/W2949524199","https://openalex.org/W2104399512","https://openalex.org/W2949154094","https://openalex.org/W2951759144"],"abstract_inverted_index":{"This":[0],"paper":[1,96],"describes":[2],"the":[3,17,55,73,98,103,112,127,152,160,171],"use":[4],"of":[5,19,92,102,114,132,154,165,173],"two":[6,104],"machine":[7],"learning":[8],"techniques,":[9,105],"naive":[10,106,149],"Bayes":[11,107,150],"and":[12,72,108],"decision":[13,109,145,166],"trees,":[14,110],"to":[15,23,46,76,88,170],"address":[16],"task":[18,74,113,153,172],"assigning":[20],"function":[21,56,65,115,139,155],"tags":[22,31,57,116],"nodes":[24,48],"in":[25,49,83],"a":[26,61,70,80,84,90,123,130],"syntactic":[27,50,136],"parse":[28,51,85],"tree.":[29],"Function":[30],"are":[32],"extra":[33],"functional":[34,174],"information,":[35],"such":[36],"as":[37,60,69],"logical":[38],"subject":[39],"or":[40],"predicate,":[41],"that":[42,144],"can":[43],"be":[44],"added":[45],"certain":[47],"trees.":[52],"We":[53,141],"model":[54],"assignment":[58],"problem":[59],"classification":[62],"problem.":[63],"Each":[64],"tag":[66],"is":[67,75,120,159],"regarded":[68],"class":[71],"find":[77],"what":[78],"class/tag":[79],"given":[81],"node":[82],"tree":[86],"belongs":[87],"from":[89],"set":[91],"predefined":[93],"classes/tags.":[94],"The":[95,118],"offers":[97],"first":[99,161],"systematic":[100],"comparison":[101,119],"for":[111,151],"assignment.":[117],"based":[121,168],"on":[122],"standardized":[124],"data":[125],"set,":[126],"Penn":[128],"Treebank,":[129],"collection":[131],"sentences":[133],"annotated":[134],"with":[135],"information":[137],"including":[138],"tags.":[140],"found":[142],"out":[143],"trees":[146,167],"generally":[147],"outperform":[148],"tagging.":[156,175],"Furthermore,":[157],"this":[158],"large":[162],"scale":[163],"evaluation":[164],"solutions":[169]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}