{"id":"https://openalex.org/W2801805865","doi":"https://doi.org/10.1109/taslp.2018.2830117","title":"A Simple and Effective Neural Model for Joint Word Segmentation and POS Tagging","display_name":"A Simple and Effective Neural Model for Joint Word Segmentation and POS Tagging","publication_year":2018,"publication_date":"2018-04-27","ids":{"openalex":"https://openalex.org/W2801805865","doi":"https://doi.org/10.1109/taslp.2018.2830117","mag":"2801805865"},"language":"en","primary_location":{"id":"doi:10.1109/taslp.2018.2830117","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taslp.2018.2830117","pdf_url":null,"source":{"id":"https://openalex.org/S4210169297","display_name":"IEEE/ACM Transactions on Audio Speech and Language Processing","issn_l":"2329-9290","issn":["2329-9290","2329-9304"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM Transactions on Audio, Speech, and Language Processing","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/A5004953265","display_name":"Meishan Zhang","orcid":"https://orcid.org/0000-0001-6335-1340"},"institutions":[{"id":"https://openalex.org/I1300757298","display_name":"Heilongjiang University of Science and Technology","ror":"https://ror.org/030xwyx96","country_code":"CN","type":"education","lineage":["https://openalex.org/I1300757298"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meishan Zhang","raw_affiliation_strings":["School of Computer Science and Technology, Heilongjiang University, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0001-6335-1340","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Heilongjiang University, Harbin, China","institution_ids":["https://openalex.org/I1300757298"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100608122","display_name":"Nan Yu","orcid":"https://orcid.org/0000-0001-6051-1126"},"institutions":[{"id":"https://openalex.org/I1300757298","display_name":"Heilongjiang University of Science and Technology","ror":"https://ror.org/030xwyx96","country_code":"CN","type":"education","lineage":["https://openalex.org/I1300757298"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nan Yu","raw_affiliation_strings":["School of Computer Science and Technology, Heilongjiang University, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Heilongjiang University, Harbin, China","institution_ids":["https://openalex.org/I1300757298"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101990229","display_name":"Guohong Fu","orcid":"https://orcid.org/0000-0001-6882-6181"},"institutions":[{"id":"https://openalex.org/I1300757298","display_name":"Heilongjiang University of Science and Technology","ror":"https://ror.org/030xwyx96","country_code":"CN","type":"education","lineage":["https://openalex.org/I1300757298"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guohong Fu","raw_affiliation_strings":["School of Computer Science and Technology, Heilongjiang University, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Heilongjiang University, Harbin, China","institution_ids":["https://openalex.org/I1300757298"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I1300757298"],"apc_list":null,"apc_paid":null,"fwci":5.7329,"has_fulltext":false,"cited_by_count":54,"citation_normalized_percentile":{"value":0.96766214,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"26","issue":"9","first_page":"1528","last_page":"1538"},"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/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9842000007629395,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.7861989736557007},{"id":"https://openalex.org/keywords/sequence-labeling","display_name":"Sequence labeling","score":0.7407287359237671},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7106163501739502},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.7055546641349792},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.6314877867698669},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5875601768493652},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5807777047157288},{"id":"https://openalex.org/keywords/text-segmentation","display_name":"Text segmentation","score":0.5610419511795044},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5395457148551941},{"id":"https://openalex.org/keywords/character","display_name":"Character (mathematics)","score":0.5389732718467712},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.5205851197242737},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.517874002456665},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.5097669959068298},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.42872127890586853},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3536533713340759},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3299107849597931},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.09815943241119385}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7861989736557007},{"id":"https://openalex.org/C35639132","wikidata":"https://www.wikidata.org/wiki/Q7452468","display_name":"Sequence labeling","level":3,"score":0.7407287359237671},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7106163501739502},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.7055546641349792},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.6314877867698669},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5875601768493652},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5807777047157288},{"id":"https://openalex.org/C98501671","wikidata":"https://www.wikidata.org/wiki/Q1948408","display_name":"Text segmentation","level":3,"score":0.5610419511795044},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5395457148551941},{"id":"https://openalex.org/C2780861071","wikidata":"https://www.wikidata.org/wiki/Q1062934","display_name":"Character (mathematics)","level":2,"score":0.5389732718467712},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5205851197242737},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.517874002456665},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.5097669959068298},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.42872127890586853},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3536533713340759},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3299107849597931},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.09815943241119385},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/taslp.2018.2830117","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taslp.2018.2830117","pdf_url":null,"source":{"id":"https://openalex.org/S4210169297","display_name":"IEEE/ACM Transactions on Audio Speech and Language Processing","issn_l":"2329-9290","issn":["2329-9290","2329-9304"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM Transactions on Audio, Speech, and Language Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6899999976158142,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G3026645988","display_name":"\u6c49\u8bed\u89e3\u91ca\u6027\u610f\u89c1\u6316\u6398\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"61672211","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4335019178","display_name":null,"funder_award_id":"61602160","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8804769180","display_name":null,"funder_award_id":"F2016036","funder_id":"https://openalex.org/F4320323085","funder_display_name":"Natural Science Foundation of Heilongjiang Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320323085","display_name":"Natural Science Foundation of Heilongjiang Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":90,"referenced_works":["https://openalex.org/W86604388","https://openalex.org/W1522301498","https://openalex.org/W1575907248","https://openalex.org/W1591706642","https://openalex.org/W1677023677","https://openalex.org/W1788779403","https://openalex.org/W1832693441","https://openalex.org/W1940872118","https://openalex.org/W1990482343","https://openalex.org/W1996430422","https://openalex.org/W2003304759","https://openalex.org/W2008652694","https://openalex.org/W2036516910","https://openalex.org/W2079735306","https://openalex.org/W2101609803","https://openalex.org/W2104820387","https://openalex.org/W2105908356","https://openalex.org/W2110974939","https://openalex.org/W2119754473","https://openalex.org/W2120661206","https://openalex.org/W2130942839","https://openalex.org/W2133564696","https://openalex.org/W2134036914","https://openalex.org/W2142259548","https://openalex.org/W2153579005","https://openalex.org/W2158899491","https://openalex.org/W2160097208","https://openalex.org/W2163377725","https://openalex.org/W2165664509","https://openalex.org/W2172221237","https://openalex.org/W2250297702","https://openalex.org/W2250739653","https://openalex.org/W2250861254","https://openalex.org/W2251355345","https://openalex.org/W2251771443","https://openalex.org/W2251811146","https://openalex.org/W2252225757","https://openalex.org/W2400932086","https://openalex.org/W2512597464","https://openalex.org/W2516334389","https://openalex.org/W2525778437","https://openalex.org/W2564132432","https://openalex.org/W2595713599","https://openalex.org/W2597655663","https://openalex.org/W2606974598","https://openalex.org/W2609772914","https://openalex.org/W2740418170","https://openalex.org/W2741390671","https://openalex.org/W2757350179","https://openalex.org/W2896649846","https://openalex.org/W2952054097","https://openalex.org/W2952230511","https://openalex.org/W2962814195","https://openalex.org/W2962902328","https://openalex.org/W2963546833","https://openalex.org/W2963572611","https://openalex.org/W2963628345","https://openalex.org/W2964093505","https://openalex.org/W2964121744","https://openalex.org/W2964256307","https://openalex.org/W2964269722","https://openalex.org/W3088186095","https://openalex.org/W3145501851","https://openalex.org/W4294170691","https://openalex.org/W6603570391","https://openalex.org/W6631190155","https://openalex.org/W6634451464","https://openalex.org/W6635590879","https://openalex.org/W6637189014","https://openalex.org/W6637955137","https://openalex.org/W6640362995","https://openalex.org/W6676509622","https://openalex.org/W6677576730","https://openalex.org/W6677809766","https://openalex.org/W6679434410","https://openalex.org/W6679436768","https://openalex.org/W6681067391","https://openalex.org/W6682691769","https://openalex.org/W6683437210","https://openalex.org/W6683738474","https://openalex.org/W6683955732","https://openalex.org/W6684544359","https://openalex.org/W6685585007","https://openalex.org/W6704367797","https://openalex.org/W6713289578","https://openalex.org/W6727690538","https://openalex.org/W6735019100","https://openalex.org/W6735377749","https://openalex.org/W6737168037","https://openalex.org/W6755183338"],"related_works":["https://openalex.org/W4392255232","https://openalex.org/W2978383222","https://openalex.org/W2172629291","https://openalex.org/W2380773642","https://openalex.org/W2384559435","https://openalex.org/W2337707338","https://openalex.org/W2393940967","https://openalex.org/W2785359773","https://openalex.org/W2159591557","https://openalex.org/W2385598138"],"abstract_inverted_index":{"Joint":[0],"models":[1],"have":[2,14],"shown":[3],"stronger":[4],"capabilities":[5],"for":[6,43],"Chinese":[7,22],"word":[8],"segmentation":[9],"and":[10,13],"POS":[11],"tagging,":[12],"received":[15],"great":[16],"interests":[17],"in":[18,96],"the":[19,44,84,93,97],"community":[20],"of":[21,33],"natural":[23],"language":[24],"processing.":[25],"In":[26],"this":[27,31],"paper,":[28],"we":[29],"follow":[30],"line":[32],"work,":[34],"presenting":[35],"a":[36,49],"simple":[37],"yet":[38],"effective":[39],"sequence-to-sequence":[40],"neural":[41,59,86],"model":[42,75,88],"joint":[45,87],"task,":[46],"based":[47],"on":[48,65],"well-defined":[50],"transition":[51],"system,":[52],"by":[53],"using":[54,80],"long":[55],"short":[56],"term":[57],"memory":[58],"network":[60],"structures.":[61],"We":[62],"conduct":[63],"experiments":[64],"five":[66],"different":[67],"datasets.":[68],"The":[69],"results":[70],"demonstrate":[71],"that":[72],"our":[73],"proposed":[74,85],"is":[76,89],"highly":[77],"competitive.":[78],"By":[79],"well-trained":[81],"character-level":[82],"embeddings,":[83],"able":[90],"to":[91],"obtain":[92],"best-reported":[94],"performances":[95],"literature.":[98]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":17},{"year":2020,"cited_by_count":12},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
