{"id":"https://openalex.org/W2536940021","doi":"https://doi.org/10.1109/fskd.2016.7603531","title":"Construction of Khmer entity annotation corpus based on constrained conditional random fields","display_name":"Construction of Khmer entity annotation corpus based on constrained conditional random fields","publication_year":2016,"publication_date":"2016-08-01","ids":{"openalex":"https://openalex.org/W2536940021","doi":"https://doi.org/10.1109/fskd.2016.7603531","mag":"2536940021"},"language":"en","primary_location":{"id":"doi:10.1109/fskd.2016.7603531","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2016.7603531","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)","raw_type":"proceedings-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/A5101007190","display_name":"Shu-Hui Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I10660446","display_name":"Kunming University of Science and Technology","ror":"https://ror.org/00xyeez13","country_code":"CN","type":"education","lineage":["https://openalex.org/I10660446"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shuhui Huang","raw_affiliation_strings":["Key Lab of Intelligent Information Processing, Kunming University of Science and Technology, Kunming, China"],"affiliations":[{"raw_affiliation_string":"Key Lab of Intelligent Information Processing, Kunming University of Science and Technology, Kunming, China","institution_ids":["https://openalex.org/I10660446"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078060439","display_name":"Xin Yan","orcid":"https://orcid.org/0000-0001-6143-9795"},"institutions":[{"id":"https://openalex.org/I10660446","display_name":"Kunming University of Science and Technology","ror":"https://ror.org/00xyeez13","country_code":"CN","type":"education","lineage":["https://openalex.org/I10660446"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Yan","raw_affiliation_strings":["Key Lab of Intelligent Information Processing, Kunming University of Science and Technology, Kunming, China"],"affiliations":[{"raw_affiliation_string":"Key Lab of Intelligent Information Processing, Kunming University of Science and Technology, Kunming, China","institution_ids":["https://openalex.org/I10660446"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100619287","display_name":"Zhengtao Yu","orcid":"https://orcid.org/0000-0002-4012-461X"},"institutions":[{"id":"https://openalex.org/I10660446","display_name":"Kunming University of Science and Technology","ror":"https://ror.org/00xyeez13","country_code":"CN","type":"education","lineage":["https://openalex.org/I10660446"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengtao Yu","raw_affiliation_strings":["Key Lab of Intelligent Information Processing, Kunming University of Science and Technology, Kunming, China"],"affiliations":[{"raw_affiliation_string":"Key Lab of Intelligent Information Processing, Kunming University of Science and Technology, Kunming, China","institution_ids":["https://openalex.org/I10660446"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009164263","display_name":"Qingling Lei","orcid":null},"institutions":[{"id":"https://openalex.org/I10660446","display_name":"Kunming University of Science and Technology","ror":"https://ror.org/00xyeez13","country_code":"CN","type":"education","lineage":["https://openalex.org/I10660446"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingling Lei","raw_affiliation_strings":["Key Lab of Intelligent Information Processing, Kunming University of Science and Technology, Kunming, China"],"affiliations":[{"raw_affiliation_string":"Key Lab of Intelligent Information Processing, Kunming University of Science and Technology, Kunming, China","institution_ids":["https://openalex.org/I10660446"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101007190"],"corresponding_institution_ids":["https://openalex.org/I10660446"],"apc_list":null,"apc_paid":null,"fwci":0.4285,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.79309273,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"3","issue":null,"first_page":"2246","last_page":"2251"},"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":0.9997000098228455,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9948999881744385,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/conditional-random-field","display_name":"Conditional random field","score":0.9449454545974731},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.8459596633911133},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8049877882003784},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6891474723815918},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.677608847618103},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6181420087814331},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5970426797866821},{"id":"https://openalex.org/keywords/vocabulary","display_name":"Vocabulary","score":0.5733954310417175},{"id":"https://openalex.org/keywords/named-entity-recognition","display_name":"Named-entity recognition","score":0.5653917789459229},{"id":"https://openalex.org/keywords/text-segmentation","display_name":"Text segmentation","score":0.5478522181510925},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.5348025560379028},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.4291667640209198},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32595035433769226},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08722251653671265}],"concepts":[{"id":"https://openalex.org/C152565575","wikidata":"https://www.wikidata.org/wiki/Q1124538","display_name":"Conditional random field","level":2,"score":0.9449454545974731},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.8459596633911133},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8049877882003784},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6891474723815918},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.677608847618103},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6181420087814331},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5970426797866821},{"id":"https://openalex.org/C2777601683","wikidata":"https://www.wikidata.org/wiki/Q6499736","display_name":"Vocabulary","level":2,"score":0.5733954310417175},{"id":"https://openalex.org/C2779135771","wikidata":"https://www.wikidata.org/wiki/Q403574","display_name":"Named-entity recognition","level":3,"score":0.5653917789459229},{"id":"https://openalex.org/C98501671","wikidata":"https://www.wikidata.org/wiki/Q1948408","display_name":"Text segmentation","level":3,"score":0.5478522181510925},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.5348025560379028},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.4291667640209198},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32595035433769226},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08722251653671265},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fskd.2016.7603531","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2016.7603531","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6399999856948853,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W37695403","https://openalex.org/W103729224","https://openalex.org/W1502020468","https://openalex.org/W1967350923","https://openalex.org/W2028738040","https://openalex.org/W2045993505","https://openalex.org/W2123512824","https://openalex.org/W2144934730","https://openalex.org/W2147880316","https://openalex.org/W2163844356","https://openalex.org/W2251551266","https://openalex.org/W2321025932","https://openalex.org/W2348509553","https://openalex.org/W2356597680","https://openalex.org/W2361483642","https://openalex.org/W2372424341","https://openalex.org/W2376971195","https://openalex.org/W2385609698","https://openalex.org/W3199852446","https://openalex.org/W6601501231","https://openalex.org/W6604173257","https://openalex.org/W6630040225","https://openalex.org/W6678414869","https://openalex.org/W6683869333","https://openalex.org/W6691768124","https://openalex.org/W6706824396","https://openalex.org/W7043576030"],"related_works":["https://openalex.org/W4250494529","https://openalex.org/W1964783010","https://openalex.org/W2399696375","https://openalex.org/W45206245","https://openalex.org/W2211396092","https://openalex.org/W2078793151","https://openalex.org/W2061834489","https://openalex.org/W2751906762","https://openalex.org/W3088215229","https://openalex.org/W3047727388"],"abstract_inverted_index":{"It":[0],"is":[1,28,52,76,102],"hard":[2],"to":[3],"solve":[4,32],"the":[5,26,44,67,99],"problem":[6],"of":[7,60,80,88],"considerable":[8],"segmentation":[9,17,47],"error":[10],"caused":[11],"by":[12],"out-of-vocabulary":[13],"words,":[14],"so":[15],"for":[16],"task":[18],"based":[19],"on":[20,43],"Constrained":[21,35],"Conditional":[22,36],"Random":[23,37],"Fields":[24,38],"Model,":[25,39],"Precision":[27],"relatively":[29],"low.":[30],"To":[31],"this":[33,55],"problem,":[34],"which":[40,72],"exploits":[41],"constraints":[42],"Khmer":[45,68],"word":[46],"and":[48,64],"named":[49],"entity":[50,69,90],"recognition,":[51],"proposed":[53,100],"in":[54,85],"paper.":[56],"With":[57],"a":[58],"series":[59],"segmentation,":[61],"POS":[62],"tagging":[63],"NER":[65],"tasks,":[66],"annotation":[70,91],"corpus":[71],"contains":[73],"more":[74],"entities":[75],"constructed.":[77],"Several":[78],"groups":[79],"experiments":[81],"are":[82],"set":[83],"up":[84],"each":[86],"link":[87],"construction":[89],"corpus.":[92],"These":[93],"experimental":[94],"data":[95],"have":[96],"proven":[97],"that":[98],"method":[101],"feasible.":[103]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}