{"id":"https://openalex.org/W3088846751","doi":"https://doi.org/10.18653/v1/w19-1404","title":"Char-","display_name":"Char-","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W3088846751","doi":"https://doi.org/10.18653/v1/w19-1404","mag":"3088846751"},"language":"en","primary_location":{"id":"doi:10.18653/v1/w19-1404","doi":"https://doi.org/10.18653/v1/w19-1404","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w19-1404","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Sixth Workshop on","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.18653/v1/w19-1404","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5051011436","display_name":"Chernyak Ekaterina Leonidovna","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I56085075","display_name":"University of Tartu","ror":"https://ror.org/03z77qz90","country_code":"EE","type":"education","lineage":["https://openalex.org/I56085075"]}],"countries":["EE"],"is_corresponding":false,"raw_author_name":"Ekaterina Chernyak","raw_affiliation_strings":["University of Tartu Tartu, Estonia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Tartu Tartu, Estonia","institution_ids":["https://openalex.org/I56085075"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Maria Ponomareva","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Maria Ponomareva","raw_affiliation_strings":["Moscow, Russia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Moscow, Russia","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081917232","display_name":"Kirill Milintsevich","orcid":"https://orcid.org/0000-0001-9253-1682","observed_orcids":["https://orcid.org/0000-0001-9253-1682"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kirill Milintsevich","raw_affiliation_strings":["Moscow, Russia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Moscow, Russia","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"35","last_page":"41"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.6312999725341797,"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":0.6312999725341797,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.30219998955726624,"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":0.014999999664723873,"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/russian-language","display_name":"Russian language","score":0.5239999890327454},{"id":"https://openalex.org/keywords/ukrainians","display_name":"Ukrainians","score":0.6589999794960022},{"id":"https://openalex.org/keywords/belarusians","display_name":"Belarusians","score":0.9890000224113464},{"id":"https://openalex.org/keywords/sequence-labeling","display_name":"sequence labeling","score":0.7080000042915344},{"id":"https://openalex.org/keywords/recurrent-neural-networks","display_name":"recurrent neural networks","score":0.9980000257492065},{"id":"https://openalex.org/keywords/transfer-learning","display_name":"transfer learning","score":0.6790000200271606},{"id":"https://openalex.org/keywords/cross-lingual-transfer","display_name":"cross-lingual transfer","score":0.8650000095367432},{"id":"https://openalex.org/keywords/low-resource-languages","display_name":"low-resource languages","score":0.8080000281333923}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8241859674453735},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.734333872795105},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6515980362892151},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.6431607604026794},{"id":"https://openalex.org/C35639132","wikidata":"https://www.wikidata.org/wiki/Q7452468","display_name":"Sequence labeling","level":3,"score":0.6158669590950012},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6151350736618042},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.5925850868225098},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.5693490505218506},{"id":"https://openalex.org/C21036866","wikidata":"https://www.wikidata.org/wiki/Q181767","display_name":"Stress (linguistics)","level":2,"score":0.47028425335884094},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.443278431892395},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.40333136916160583},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.10050350427627563},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06329825520515442},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/w19-1404","doi":"https://doi.org/10.18653/v1/w19-1404","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w19-1404","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Sixth Workshop on","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/w19-1404","doi":"https://doi.org/10.18653/v1/w19-1404","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w19-1404","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Sixth Workshop on","raw_type":"proceedings-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1562955078","https://openalex.org/W2101609803","https://openalex.org/W2117937335","https://openalex.org/W2121127625","https://openalex.org/W2130942839","https://openalex.org/W2250741688","https://openalex.org/W2251723447","https://openalex.org/W2252222397","https://openalex.org/W2270364989","https://openalex.org/W2311921240","https://openalex.org/W2468328197","https://openalex.org/W2561747913","https://openalex.org/W2600565200","https://openalex.org/W2604703149","https://openalex.org/W2753398138","https://openalex.org/W2760700295","https://openalex.org/W2962902328","https://openalex.org/W2964222437"],"related_works":["https://openalex.org/W2948492631","https://openalex.org/W2760700295","https://openalex.org/W2394856069","https://openalex.org/W4298176742","https://openalex.org/W2251114096","https://openalex.org/W2886711982","https://openalex.org/W7014763482","https://openalex.org/W2308486447","https://openalex.org/W7055706998","https://openalex.org/W2964015966"],"abstract_inverted_index":{"We":[0,32,65],"explore":[1,55],"how":[2],"well":[3],"a":[4,73,76],"sequence":[5],"labeling":[6],"approach,":[7],"namely,":[8],"recurrent":[9],"neural":[10],"network,":[11],"is":[12,69],"suited":[13],"for":[14,41,62],"the":[15,27,38,42,59,63,85,88],"task":[16],"of":[17,58,87],"resource-poor":[18],"and":[19,45,54,79],"POS":[20],"tagging":[21],"free":[22],"word":[23,39],"stress":[24],"detection":[25],"in":[26,75],"Russian,":[28],"Ukranian,":[29],"Belarusian":[30],"languages.":[31],"present":[33],"new":[34],"datasets,":[35],"annotated":[36],"with":[37],"stress,":[40],"three":[43,52],"languages":[44,53,83],"compare":[46],"several":[47],"RNN":[48],"models":[49],"trained":[50],"on":[51],"possible":[56,70],"applications":[57],"transfer":[60],"learning":[61],"task.":[64],"show":[66],"that":[67,80],"it":[68],"to":[71],"train":[72],"model":[74],"cross-lingual":[77],"setting":[78],"using":[81],"additional":[82],"improves":[84],"quality":[86],"results.":[89]},"counts_by_year":[],"updated_date":"2026-10-14T16:39:01.820549","created_date":"2020-10-01T00:00:00"}
