乐胖代购免代理版

{"id":"https://openalex.org/W2908319297","doi":"https://doi.org/10.23919/fruct.2018.8588101","title":"Pragmatic Markers in Russian Spoken Speech: an Experience of Systematization and Annotation for the Improvement of NLP Tasks","display_name":"Pragmatic Markers in Russian Spoken Speech: an Experience of Systematization and Annotation for the Improvement of NLP Tasks","publication_year":2018,"publication_date":"2018-11-01","ids":{"openalex":"https://openalex.org/W2908319297","doi":"https://doi.org/10.23919/fruct.2018.8588101","mag":"2908319297"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.23919/fruct.2018.8588101","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5006804545","display_name":"Natalia Bogdanova-Beglarian","orcid":"https://orcid.org/0000-0002-7652-0358"},"institutions":[{"id":"https://openalex.org/I172901346","display_name":"St Petersburg University","ror":"https://ror.org/023znxa73","country_code":"RU","type":"education","lineage":["https://openalex.org/I172901346"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Natalia Bogdanova-Beglarian","raw_affiliation_strings":["Saint Petersburg State University, Saint Petersburg, Russia"],"affiliations":[{"raw_affiliation_string":"Saint Petersburg State University, Saint Petersburg, Russia","institution_ids":["https://openalex.org/I172901346"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038789718","display_name":"Olga Blinova","orcid":"https://orcid.org/0000-0002-5665-3495"},"institutions":[{"id":"https://openalex.org/I172901346","display_name":"St Petersburg University","ror":"https://ror.org/023znxa73","country_code":"RU","type":"education","lineage":["https://openalex.org/I172901346"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Olga Blinova","raw_affiliation_strings":["Saint Petersburg State University, Saint Petersburg, Russia"],"affiliations":[{"raw_affiliation_string":"Saint Petersburg State University, Saint Petersburg, Russia","institution_ids":["https://openalex.org/I172901346"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078241249","display_name":"Tatiana Sherstinova","orcid":"https://orcid.org/0000-0002-9085-3378"},"institutions":[{"id":"https://openalex.org/I172901346","display_name":"St Petersburg University","ror":"https://ror.org/023znxa73","country_code":"RU","type":"education","lineage":["https://openalex.org/I172901346"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Tatiana Sherstinova","raw_affiliation_strings":["Saint Petersburg State University, Saint Petersburg, Russia"],"affiliations":[{"raw_affiliation_string":"Saint Petersburg State University, Saint Petersburg, Russia","institution_ids":["https://openalex.org/I172901346"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027157510","display_name":"Gregory Martynenko","orcid":"https://orcid.org/0000-0002-5962-2395"},"institutions":[{"id":"https://openalex.org/I172901346","display_name":"St Petersburg University","ror":"https://ror.org/023znxa73","country_code":"RU","type":"education","lineage":["https://openalex.org/I172901346"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Gregory Martynenko","raw_affiliation_strings":["Saint Petersburg State University, Saint Petersburg, Russia"],"affiliations":[{"raw_affiliation_string":"Saint Petersburg State University, Saint Petersburg, Russia","institution_ids":["https://openalex.org/I172901346"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061658947","display_name":"Kristina Zaides","orcid":"https://orcid.org/0009-0002-4088-910X"},"institutions":[{"id":"https://openalex.org/I172901346","display_name":"St Petersburg University","ror":"https://ror.org/023znxa73","country_code":"RU","type":"education","lineage":["https://openalex.org/I172901346"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Kristina Zaides","raw_affiliation_strings":["Saint Petersburg State University, Saint Petersburg, Russia"],"affiliations":[{"raw_affiliation_string":"Saint Petersburg State University, Saint Petersburg, Russia","institution_ids":["https://openalex.org/I172901346"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.645,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":4,"citation_normalized_percentile":{"value":0.618386,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":77,"max":79},"biblio":{"volume":null,"issue":null,"first_page":"69","last_page":"77"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9935,"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":0.9935,"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/T14159","display_name":"Discourse Analysis and Cultural Communication","score":0.9924,"subfield":{"id":"https://openalex.org/subfields/3316","display_name":"Cultural Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12031","display_name":"Speech and dialogue systems","score":0.9602,"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":[],"concepts":[{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.795243},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.77188766},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.7288416},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.61758965},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5828697},{"id":"https://openalex.org/C2780876879","wikidata":"https://www.wikidata.org/wiki/Q3054749","display_name":"Meaning (existential)","level":2,"score":0.45473036},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.32569817},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.14490432},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.23919/fruct.2018.8588101","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality education","id":"https://metadata.un.org/sdg/4","score":0.55}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":24,"referenced_works":["https://openalex.org/W1733983371","https://openalex.org/W1975879668","https://openalex.org/W1985661114","https://openalex.org/W1996538932","https://openalex.org/W2003319686","https://openalex.org/W2045738181","https://openalex.org/W2053154970","https://openalex.org/W206403164","https://openalex.org/W2069463708","https://openalex.org/W2141766660","https://openalex.org/W2157721048","https://openalex.org/W2291018135","https://openalex.org/W2468726214","https://openalex.org/W2511920761","https://openalex.org/W2743158939","https://openalex.org/W2767201398","https://openalex.org/W2780853053","https://openalex.org/W2888699951","https://openalex.org/W2915085887","https://openalex.org/W3021916629","https://openalex.org/W361562734","https://openalex.org/W4236946849","https://openalex.org/W4254974543","https://openalex.org/W85752199"],"related_works":["https://openalex.org/W4380994516","https://openalex.org/W2625833328","https://openalex.org/W2392921965","https://openalex.org/W2377979023","https://openalex.org/W2361861616","https://openalex.org/W2358755282","https://openalex.org/W2263699433","https://openalex.org/W2251519152","https://openalex.org/W2218034408","https://openalex.org/W1533177136"],"abstract_inverted_index":{"Pragmatic":[0],"markers":[1,44,75,96],"are":[2,26],"an":[3],"integral":[4],"part":[5],"of":[6,35,42,49,55,60,73,94,102,105,114],"spontaneous":[7],"spoken":[8],"speech,":[9],"however,":[10],"they":[11],"still":[12],"have":[13],"no":[14],"systematic":[15],"scientific":[16],"description.":[17],"These":[18],"speech":[19,46],"elements":[20],"perform":[21],"mostly":[22],"pragmatic":[23,43,74,95],"functions":[24],"and":[25,76,80,98],"characterized":[27],"by":[28,111],"almost":[29,50],"complete":[30],"absence":[31],"(or":[32],"significant":[33],"weakening)":[34],"lexical":[36],"and/or":[37],"grammatical":[38],"meaning.":[39],"The":[40],"frequency":[41],"in":[45],"exceeds":[47],"that":[48],"all":[51],"content":[52],"words.":[53],"Because":[54],"that,":[56],"for":[57,83],"the":[58,91,100],"improvement":[59],"many":[61],"current":[62,87],"NLP":[63],"tasks,":[64],"it":[65],"is":[66],"very":[67],"important":[68],"to":[69,77],"obtain":[70],"proper":[71],"systematization":[72],"develop":[78],"effective":[79],"reliable":[81],"schemes":[82],"their":[84,106],"annotation.":[85],"In":[86],"research,":[88],"we":[89],"describe":[90],"preliminary":[92],"set":[93],"categories":[97],"present":[99],"results":[101],"two":[103],"stages":[104],"pilot":[107],"annotation":[108],"made":[109],"independently":[110],"a":[112],"group":[113],"experts.":[115]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2908319297","counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3}],"updated_date":"2024-12-11T08:09:51.803237","created_date":"2019-01-11"}