{"id":"https://openalex.org/W2337140418","doi":"https://doi.org/10.1109/ialp.2015.7451558","title":"Mongolian Named Entity Recognition using suffixes segmentation","display_name":"Mongolian Named Entity Recognition using suffixes segmentation","publication_year":2015,"publication_date":"2015-10-01","ids":{"openalex":"https://openalex.org/W2337140418","doi":"https://doi.org/10.1109/ialp.2015.7451558","mag":"2337140418"},"language":"en","primary_location":{"id":"doi:10.1109/ialp.2015.7451558","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ialp.2015.7451558","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Asian Language Processing (IALP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5090047889","display_name":"Weihua Wang","orcid":"https://orcid.org/0000-0002-3234-7151"},"institutions":[{"id":"https://openalex.org/I2722730","display_name":"Inner Mongolia University","ror":"https://ror.org/0106qb496","country_code":"CN","type":"education","lineage":["https://openalex.org/I2722730"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weihua Wang","raw_affiliation_strings":["College of Computer Science, Inner Mongolia University, Hohhot, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, Inner Mongolia University, Hohhot, China","institution_ids":["https://openalex.org/I2722730"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014372166","display_name":"Feilong Bao","orcid":"https://orcid.org/0000-0001-7312-1629"},"institutions":[{"id":"https://openalex.org/I2722730","display_name":"Inner Mongolia University","ror":"https://ror.org/0106qb496","country_code":"CN","type":"education","lineage":["https://openalex.org/I2722730"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feilong Bao","raw_affiliation_strings":["College of Computer Science, Inner Mongolia University, Hohhot, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, Inner Mongolia University, Hohhot, China","institution_ids":["https://openalex.org/I2722730"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076174513","display_name":"Guanglai Gao","orcid":"https://orcid.org/0009-0005-5513-1192"},"institutions":[{"id":"https://openalex.org/I2722730","display_name":"Inner Mongolia University","ror":"https://ror.org/0106qb496","country_code":"CN","type":"education","lineage":["https://openalex.org/I2722730"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guanglai Gao","raw_affiliation_strings":["College of Computer Science, Inner Mongolia University, Hohhot, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, Inner Mongolia University, Hohhot, China","institution_ids":["https://openalex.org/I2722730"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I2722730"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"30","issue":null,"first_page":"169","last_page":"172"},"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":0.9998000264167786,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.982200026512146,"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/agglutinative-language","display_name":"Agglutinative language","score":0.9882166981697083},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8197565078735352},{"id":"https://openalex.org/keywords/suffix","display_name":"Suffix","score":0.7358335256576538},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6752936244010925},{"id":"https://openalex.org/keywords/named-entity-recognition","display_name":"Named-entity recognition","score":0.6695501208305359},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6315592527389526},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5111439824104309},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.49952077865600586},{"id":"https://openalex.org/keywords/vocabulary","display_name":"Vocabulary","score":0.4964008927345276},{"id":"https://openalex.org/keywords/security-token","display_name":"Security token","score":0.47594451904296875},{"id":"https://openalex.org/keywords/conditional-random-field","display_name":"Conditional random field","score":0.42905205488204956},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.14701128005981445}],"concepts":[{"id":"https://openalex.org/C80875076","wikidata":"https://www.wikidata.org/wiki/Q171263","display_name":"Agglutinative language","level":3,"score":0.9882166981697083},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8197565078735352},{"id":"https://openalex.org/C2779804580","wikidata":"https://www.wikidata.org/wiki/Q102047","display_name":"Suffix","level":2,"score":0.7358335256576538},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6752936244010925},{"id":"https://openalex.org/C2779135771","wikidata":"https://www.wikidata.org/wiki/Q403574","display_name":"Named-entity recognition","level":3,"score":0.6695501208305359},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6315592527389526},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5111439824104309},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.49952077865600586},{"id":"https://openalex.org/C2777601683","wikidata":"https://www.wikidata.org/wiki/Q6499736","display_name":"Vocabulary","level":2,"score":0.4964008927345276},{"id":"https://openalex.org/C48145219","wikidata":"https://www.wikidata.org/wiki/Q1335365","display_name":"Security token","level":2,"score":0.47594451904296875},{"id":"https://openalex.org/C152565575","wikidata":"https://www.wikidata.org/wiki/Q1124538","display_name":"Conditional random field","level":2,"score":0.42905205488204956},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.14701128005981445},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/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/C165297611","wikidata":"https://www.wikidata.org/wiki/Q43249","display_name":"Morpheme","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ialp.2015.7451558","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ialp.2015.7451558","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Asian Language Processing (IALP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.7799999713897705,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W8550301","https://openalex.org/W136407171","https://openalex.org/W2020278455","https://openalex.org/W2087713756","https://openalex.org/W2106652354","https://openalex.org/W2111284344","https://openalex.org/W2137494357","https://openalex.org/W2147880316","https://openalex.org/W2401534278","https://openalex.org/W2402817887","https://openalex.org/W6600347082","https://openalex.org/W6605607646","https://openalex.org/W6680665192","https://openalex.org/W6682082992","https://openalex.org/W6713004744"],"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/W4305041692","https://openalex.org/W2078793151","https://openalex.org/W2061834489","https://openalex.org/W2751906762","https://openalex.org/W3088215229"],"abstract_inverted_index":{"Mongolian":[0,19,32,40,90],"is":[1,20,86],"an":[2,11,60,81],"agglutinative":[3,102],"language":[4],"with":[5],"the":[6,29,47,64,73,89],"complex":[7],"morphological":[8],"structures.":[9],"Building":[10],"accurate":[12],"Named":[13],"Entity":[14],"Recognition":[15],"(NER)":[16],"system":[17,42],"for":[18,88],"a":[21,76],"challenging":[22],"and":[23,38,71],"meaningful":[24],"work.":[25],"This":[26,95],"paper":[27],"analyzes":[28],"characteristic":[30],"of":[31],"suffixes":[33,74],"using":[34,72],"Narrow":[35],"Non-Break":[36],"Space":[37],"investigates":[39],"NER":[41,104],"under":[43],"three":[44],"methods":[45],"in":[46],"Condition":[48],"Random":[49],"Field":[50],"framework.":[51],"The":[52],"experiment":[53],"shows":[54],"that":[55],"segmenting":[56,70],"each":[57],"suffix":[58],"into":[59],"individual":[61],"token":[62],"achieves":[63],"best":[65],"performance":[66],"than":[67],"both":[68],"without":[69],"as":[75],"feature.":[77],"Our":[78],"approach":[79],"obtains":[80],"F-measure":[82],"=":[83],"82.71.":[84],"It":[85],"appropriate":[87],"large":[91],"scale":[92],"vocabulary":[93],"NER.":[94],"research":[96],"also":[97],"makes":[98],"sense":[99],"to":[100],"other":[101],"languages":[103],"systems.":[105]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}