{"id":"https://openalex.org/W4385762375","doi":"https://doi.org/10.1017/s1351324923000359","title":"Toward a shallow discourse parser for Turkish","display_name":"Toward a shallow discourse parser for Turkish","publication_year":2023,"publication_date":"2023-08-11","ids":{"openalex":"https://openalex.org/W4385762375","doi":"https://doi.org/10.1017/s1351324923000359"},"language":"en","primary_location":{"id":"doi:10.1017/s1351324923000359","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1017/s1351324923000359","pdf_url":"https://www.cambridge.org/core/services/aop-cambridge-core/content/view/A55864CDF9182D54B4163C912FB79EAD/S1351324923000359a.pdf/div-class-title-toward-a-shallow-discourse-parser-for-turkish-div.pdf","source":{"id":"https://openalex.org/S18088403","display_name":"Natural Language Engineering","issn_l":"1351-3249","issn":["1351-3249","1469-8110"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311721","host_organization_name":"Cambridge University Press","host_organization_lineage":["https://openalex.org/P4310311721","https://openalex.org/P4310311702"],"host_organization_lineage_names":["Cambridge University Press","University of Cambridge"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Natural Language Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://www.cambridge.org/core/services/aop-cambridge-core/content/view/A55864CDF9182D54B4163C912FB79EAD/S1351324923000359a.pdf/div-class-title-toward-a-shallow-discourse-parser-for-turkish-div.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5052206755","display_name":"Ferhat Kutlu","orcid":"https://orcid.org/0000-0002-0419-3327"},"institutions":[{"id":"https://openalex.org/I201799495","display_name":"Middle East Technical University","ror":"https://ror.org/014weej12","country_code":"TR","type":"education","lineage":["https://openalex.org/I201799495"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Ferhat Kutlu","raw_affiliation_strings":["Graduate School of Informatics, Cognitive Science Department, Middle East Technical University, \u00c7ankaya/Ankara, Turkey"],"affiliations":[{"raw_affiliation_string":"Graduate School of Informatics, Cognitive Science Department, Middle East Technical University, \u00c7ankaya/Ankara, Turkey","institution_ids":["https://openalex.org/I201799495"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071509092","display_name":"Deniz Zeyrek","orcid":"https://orcid.org/0000-0001-9248-0141"},"institutions":[{"id":"https://openalex.org/I201799495","display_name":"Middle East Technical University","ror":"https://ror.org/014weej12","country_code":"TR","type":"education","lineage":["https://openalex.org/I201799495"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Deniz Zeyrek","raw_affiliation_strings":["Graduate School of Informatics, Cognitive Science Department, Middle East Technical University, \u00c7ankaya/Ankara, Turkey"],"affiliations":[{"raw_affiliation_string":"Graduate School of Informatics, Cognitive Science Department, Middle East Technical University, \u00c7ankaya/Ankara, Turkey","institution_ids":["https://openalex.org/I201799495"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002870078","display_name":"Murathan Kurfal\u0131","orcid":"https://orcid.org/0000-0002-7020-8275"},"institutions":[{"id":"https://openalex.org/I161593684","display_name":"Stockholm University","ror":"https://ror.org/05f0yaq80","country_code":"SE","type":"education","lineage":["https://openalex.org/I161593684"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Murathan Kurfal\u0131","raw_affiliation_strings":["Linguistics Department, Stockholm University, Stockholm, Sweden"],"affiliations":[{"raw_affiliation_string":"Linguistics Department, Stockholm University, Stockholm, Sweden","institution_ids":["https://openalex.org/I161593684"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5052206755"],"corresponding_institution_ids":["https://openalex.org/I201799495"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09680875,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"30","issue":"5","first_page":"1009","last_page":"1034"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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/T10028","display_name":"Topic Modeling","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/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/T13629","display_name":"Text Readability and Simplification","score":0.9969000220298767,"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/computer-science","display_name":"Computer science","score":0.8452788591384888},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.7009642124176025},{"id":"https://openalex.org/keywords/turkish","display_name":"Turkish","score":0.6641966700553894},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.6406589150428772},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6313090920448303},{"id":"https://openalex.org/keywords/automatic-summarization","display_name":"Automatic summarization","score":0.6309936046600342},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.6125502586364746},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5473241806030273},{"id":"https://openalex.org/keywords/realization","display_name":"Realization (probability)","score":0.5354711413383484},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.44880181550979614},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.44349780678749084},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.42812296748161316}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8452788591384888},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.7009642124176025},{"id":"https://openalex.org/C2781121862","wikidata":"https://www.wikidata.org/wiki/Q256","display_name":"Turkish","level":2,"score":0.6641966700553894},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.6406589150428772},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6313090920448303},{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.6309936046600342},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.6125502586364746},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5473241806030273},{"id":"https://openalex.org/C2781089630","wikidata":"https://www.wikidata.org/wiki/Q21856745","display_name":"Realization (probability)","level":2,"score":0.5354711413383484},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.44880181550979614},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.44349780678749084},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.42812296748161316},{"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/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"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},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1017/s1351324923000359","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1017/s1351324923000359","pdf_url":"https://www.cambridge.org/core/services/aop-cambridge-core/content/view/A55864CDF9182D54B4163C912FB79EAD/S1351324923000359a.pdf/div-class-title-toward-a-shallow-discourse-parser-for-turkish-div.pdf","source":{"id":"https://openalex.org/S18088403","display_name":"Natural Language Engineering","issn_l":"1351-3249","issn":["1351-3249","1469-8110"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311721","host_organization_name":"Cambridge University Press","host_organization_lineage":["https://openalex.org/P4310311721","https://openalex.org/P4310311702"],"host_organization_lineage_names":["Cambridge University Press","University of Cambridge"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Natural Language Engineering","raw_type":"journal-article"},{"id":"pmh:oai:https://open.metu.edu.tr:11511/104994","is_oa":true,"landing_page_url":"https://hdl.handle.net/11511/104994","pdf_url":"https://open.metu.edu.tr/bitstream/handle/11511/104994/toward-a-shallow-discourse-parser-for-turkish.pdf","source":{"id":"https://openalex.org/S4306402495","display_name":"OpenMETU (Middle East Technical University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I201799495","host_organization_name":"Middle East Technical University","host_organization_lineage":["https://openalex.org/I201799495"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Journal Article"}],"best_oa_location":{"id":"doi:10.1017/s1351324923000359","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1017/s1351324923000359","pdf_url":"https://www.cambridge.org/core/services/aop-cambridge-core/content/view/A55864CDF9182D54B4163C912FB79EAD/S1351324923000359a.pdf/div-class-title-toward-a-shallow-discourse-parser-for-turkish-div.pdf","source":{"id":"https://openalex.org/S18088403","display_name":"Natural Language Engineering","issn_l":"1351-3249","issn":["1351-3249","1469-8110"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311721","host_organization_name":"Cambridge University Press","host_organization_lineage":["https://openalex.org/P4310311721","https://openalex.org/P4310311702"],"host_organization_lineage_names":["Cambridge University Press","University of Cambridge"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Natural Language Engineering","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.5899999737739563}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4385762375.pdf"},"referenced_works_count":70,"referenced_works":["https://openalex.org/W115543958","https://openalex.org/W1495022714","https://openalex.org/W1563792215","https://openalex.org/W1902237438","https://openalex.org/W1975879668","https://openalex.org/W2033043215","https://openalex.org/W2070285512","https://openalex.org/W2070327778","https://openalex.org/W2085996979","https://openalex.org/W2109318894","https://openalex.org/W2109462987","https://openalex.org/W2115792525","https://openalex.org/W2121227244","https://openalex.org/W2131861279","https://openalex.org/W2133564696","https://openalex.org/W2152197045","https://openalex.org/W2158847908","https://openalex.org/W2164777277","https://openalex.org/W2170496269","https://openalex.org/W2238788688","https://openalex.org/W2250201115","https://openalex.org/W2250652819","https://openalex.org/W2251416368","https://openalex.org/W2251623545","https://openalex.org/W2251828655","https://openalex.org/W2252200119","https://openalex.org/W2408372179","https://openalex.org/W2514355019","https://openalex.org/W2550821151","https://openalex.org/W2573602082","https://openalex.org/W2577250310","https://openalex.org/W2585105539","https://openalex.org/W2740228984","https://openalex.org/W2785781346","https://openalex.org/W2806243762","https://openalex.org/W2806321739","https://openalex.org/W2883393997","https://openalex.org/W2884987911","https://openalex.org/W2896457183","https://openalex.org/W2898856000","https://openalex.org/W2910453440","https://openalex.org/W2931179098","https://openalex.org/W2952750383","https://openalex.org/W2954982705","https://openalex.org/W2962751614","https://openalex.org/W2962881743","https://openalex.org/W2972504770","https://openalex.org/W2990591037","https://openalex.org/W2991289992","https://openalex.org/W2998864486","https://openalex.org/W3004203327","https://openalex.org/W3031430352","https://openalex.org/W3034870693","https://openalex.org/W3089089104","https://openalex.org/W3104465866","https://openalex.org/W3211954325","https://openalex.org/W4283267625","https://openalex.org/W4285130250","https://openalex.org/W4316466775","https://openalex.org/W6605734490","https://openalex.org/W6658389934","https://openalex.org/W6678277124","https://openalex.org/W6683444260","https://openalex.org/W6684381896","https://openalex.org/W6684468177","https://openalex.org/W6729214272","https://openalex.org/W6739398559","https://openalex.org/W6739901393","https://openalex.org/W6757817989","https://openalex.org/W6783716539"],"related_works":["https://openalex.org/W2366403280","https://openalex.org/W1495108544","https://openalex.org/W2091301346","https://openalex.org/W3148229873","https://openalex.org/W2150160875","https://openalex.org/W4242223894","https://openalex.org/W1517524280","https://openalex.org/W4389760904","https://openalex.org/W4306886878","https://openalex.org/W4323520239"],"abstract_inverted_index":{"Abstract":[0],"One":[1],"of":[2,7,41,102,114,123,135,180,210,224,235,242,263,273,277,295,317,324,327],"the":[3,16,37,68,72,98,120,133,147,157,177,181,198,207,221,225,233,240,260,264,275,284,293,296,307,312,318,325],"most":[4,99],"interesting":[5],"aspects":[6,272],"natural":[8],"language":[9,139,298,304],"is":[10,130,170,315],"how":[11],"texts":[12],"cohere,":[13],"which":[14],"involves":[15],"pragmatic":[17],"or":[18],"semantic":[19],"relations":[20,43,77],"that":[21,64,162,253,268,283,311],"hold":[22],"between":[23],"clauses":[24],"(addition,":[25],"cause-effect,":[26],"conditional,":[27],"similarity),":[28],"referred":[29],"to":[30,49,52,176,189,215],"as":[31,45,56,82,142],"discourse":[32,42,76,104,115,158,278],"relations.":[33,127,186,329],"A":[34],"focus":[35],"on":[36,109,132,175,192,239],"identification":[38,113],"and":[39,61,85,93,119,125,145,184,267,305],"classification":[40,122,179,241],"appears":[44],"an":[46,143],"imperative":[47],"challenge":[48],"be":[50],"resolved":[51],"support":[53],"tasks":[54],"such":[55,81],"text":[57],"summarization,":[58],"dialogue":[59],"systems,":[60],"machine":[62],"translation":[63],"need":[65],"information":[66],"above":[67],"clause":[69],"level.":[70],"Despite":[71],"recent":[73],"interest":[74],"in":[75,78,106,164,213,289,300,306,322],"well-known":[79],"languages":[80],"English,":[83],"data":[84,149,237],"experiments":[86,191],"are":[87,270,286],"still":[88],"needed":[89],"for":[90],"typologically":[91,302],"different":[92,303],"less-resourced":[94],"languages.":[95],"We":[96,154,281],"report":[97,206],"comprehensive":[100],"investigation":[101],"shallow":[103],"parsing":[105],"Turkish,":[107],"focusing":[108],"two":[110],"main":[111],"sub-tasks:":[112],"relation":[116,159,243,279],"realization":[117,160,244],"types":[118,276],"sense":[121,178],"explicit":[124,183],"implicit":[126,185],"The":[128,250],"work":[129],"based":[131],"approach":[134],"fine-tuning":[136],"a":[137,165,193,247,301],"pre-trained":[138],"model":[140],"(BERT)":[141],"encoder":[144],"classifying":[146],"encoded":[148],"with":[150],"neural":[151],"network-based":[152],"classifiers.":[153],"firstly":[155],"identify":[156],"type":[161,245],"holds":[163],"given":[166,310],"text,":[167],"if":[168],"there":[169,269],"any.":[171],"Then,":[172],"we":[173,204,231],"move":[174],"identified":[182],"In":[187],"addition":[188],"in-domain":[190],"held-out":[194],"test":[195],"set":[196],"from":[197],"Turkish":[199,222],"Discourse":[200,228,320],"Bank":[201],"(TDB":[202],"1.2),":[203],"also":[205],"out-domain":[208],"performance":[209,294],"our":[211,254],"models":[212,255,299],"order":[214],"evaluate":[216],"its":[217],"generalization":[218],"abilities,":[219],"using":[220],"part":[223],"TED":[226],"Multilingual":[227],"Bank.":[229],"Finally,":[230],"explore":[232],"effect":[234],"multilingual":[236],"aggregation":[238],"through":[246],"cross-lingual":[248],"experiment.":[249],"results":[251],"suggest":[252],"perform":[256],"relatively":[257],"well":[258],"despite":[259],"limited":[261],"size":[262],"TDB":[265,313],"1.2":[266,314],"language-specific":[271],"detecting":[274],"realization.":[280],"believe":[282],"findings":[285],"important":[287],"both":[288],"providing":[290],"insights":[291],"regarding":[292],"modern":[297],"low-resource":[308],"scenario,":[309],"1/20th":[316],"Penn":[319],"TreeBank":[321],"terms":[323],"number":[326],"total":[328]},"counts_by_year":[],"updated_date":"2026-03-11T14:59:36.786465","created_date":"2025-10-10T00:00:00"}