{"id":"https://openalex.org/W3209879215","doi":"https://doi.org/10.1109/sped53181.2021.9587432","title":"Word Embeddings for Romanian Language and Their Use for Synonyms Detection","display_name":"Word Embeddings for Romanian Language and Their Use for Synonyms Detection","publication_year":2021,"publication_date":"2021-10-13","ids":{"openalex":"https://openalex.org/W3209879215","doi":"https://doi.org/10.1109/sped53181.2021.9587432","mag":"3209879215"},"language":"en","primary_location":{"id":"doi:10.1109/sped53181.2021.9587432","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sped53181.2021.9587432","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Conference on Speech Technology and Human-Computer Dialogue (SpeD)","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/A5051483640","display_name":"Claudiu Marius Popescu","orcid":"https://orcid.org/0000-0001-9131-2752"},"institutions":[{"id":"https://openalex.org/I158333966","display_name":"Technical University of Cluj-Napoca","ror":"https://ror.org/03r8nwp71","country_code":"RO","type":"education","lineage":["https://openalex.org/I158333966"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Claudiu Marius Popescu","raw_affiliation_strings":["Signal Processing Group, Technical Univ. of Cluj-Napoca, Cluj-Napoca, Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Signal Processing Group, Technical Univ. of Cluj-Napoca, Cluj-Napoca, Romania","institution_ids":["https://openalex.org/I158333966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036243309","display_name":"Corneliu Rusu","orcid":"https://orcid.org/0000-0001-5209-2734"},"institutions":[{"id":"https://openalex.org/I158333966","display_name":"Technical University of Cluj-Napoca","ror":"https://ror.org/03r8nwp71","country_code":"RO","type":"education","lineage":["https://openalex.org/I158333966"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Corneliu Rusu","raw_affiliation_strings":["Signal Processing Group, Technical Univ. of Cluj-Napoca, Cluj-Napoca, Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Signal Processing Group, Technical Univ. of Cluj-Napoca, Cluj-Napoca, Romania","institution_ids":["https://openalex.org/I158333966"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072184884","display_name":"L\u0103crimioara Grama","orcid":"https://orcid.org/0000-0003-0383-5196"},"institutions":[{"id":"https://openalex.org/I158333966","display_name":"Technical University of Cluj-Napoca","ror":"https://ror.org/03r8nwp71","country_code":"RO","type":"education","lineage":["https://openalex.org/I158333966"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Lacrimioara Grama","raw_affiliation_strings":["Signal Processing Group, Technical Univ. of Cluj-Napoca, Cluj-Napoca, Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Signal Processing Group, Technical Univ. of Cluj-Napoca, Cluj-Napoca, Romania","institution_ids":["https://openalex.org/I158333966"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I158333966"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15167316,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"19","issue":null,"first_page":"151","last_page":"155"},"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":0.996999979019165,"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/T12380","display_name":"Authorship Attribution and Profiling","score":0.9837999939918518,"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/word2vec","display_name":"Word2vec","score":0.8915998935699463},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.842599630355835},{"id":"https://openalex.org/keywords/romanian","display_name":"Romanian","score":0.8223214149475098},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.7753527164459229},{"id":"https://openalex.org/keywords/automatic-summarization","display_name":"Automatic summarization","score":0.7203348875045776},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.7191332578659058},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.639458179473877},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.6277742981910706},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5525310039520264},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.46711692214012146},{"id":"https://openalex.org/keywords/word-embedding","display_name":"Word embedding","score":0.4629541039466858},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.174951434135437},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.11468884348869324},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.08780142664909363},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.08167406916618347}],"concepts":[{"id":"https://openalex.org/C2776461190","wikidata":"https://www.wikidata.org/wiki/Q22673982","display_name":"Word2vec","level":3,"score":0.8915998935699463},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.842599630355835},{"id":"https://openalex.org/C129400051","wikidata":"https://www.wikidata.org/wiki/Q7913","display_name":"Romanian","level":2,"score":0.8223214149475098},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.7753527164459229},{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.7203348875045776},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.7191332578659058},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.639458179473877},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.6277742981910706},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5525310039520264},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.46711692214012146},{"id":"https://openalex.org/C2777462759","wikidata":"https://www.wikidata.org/wiki/Q18395344","display_name":"Word embedding","level":3,"score":0.4629541039466858},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.174951434135437},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.11468884348869324},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.08780142664909363},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.08167406916618347},{"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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sped53181.2021.9587432","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sped53181.2021.9587432","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Conference on Speech Technology and Human-Computer Dialogue (SpeD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.800000011920929}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1498436455","https://openalex.org/W1614298861","https://openalex.org/W2098162425","https://openalex.org/W2153579005","https://openalex.org/W2250539671","https://openalex.org/W2250784218","https://openalex.org/W2493916176","https://openalex.org/W2888493969","https://openalex.org/W2896457183","https://openalex.org/W2913901224","https://openalex.org/W2963341956","https://openalex.org/W2963626623","https://openalex.org/W2998704965","https://openalex.org/W3111962842","https://openalex.org/W3114757058","https://openalex.org/W3135465795","https://openalex.org/W4285719527","https://openalex.org/W4294170691","https://openalex.org/W4367858557","https://openalex.org/W6636510571","https://openalex.org/W6680532216","https://openalex.org/W6682691769","https://openalex.org/W6691729351","https://openalex.org/W6719819555","https://openalex.org/W6723250868","https://openalex.org/W6755207826","https://openalex.org/W6758993734"],"related_works":["https://openalex.org/W2946409105","https://openalex.org/W3152932816","https://openalex.org/W2985392712","https://openalex.org/W4382201653","https://openalex.org/W3133567596","https://openalex.org/W2798009317","https://openalex.org/W4312127319","https://openalex.org/W2998070955","https://openalex.org/W3175524270","https://openalex.org/W4313247739"],"abstract_inverted_index":{"The":[0,38,64,83,92],"aim":[1],"of":[2,28,50,98],"this":[3,81],"paper":[4],"is":[5],"to":[6],"present":[7],"some":[8,70],"results":[9,93],"on":[10,18,72],"word":[11,26],"embeddings":[12,27,39,65,99],"for":[13,61,80],"the":[14,19,46,57,62,86,104],"Romanian":[15,47],"language,":[16],"based":[17],"word2vec":[20],"method.":[21],"More":[22],"concretely,":[23],"we":[24,44],"generate":[25],"different":[29,33],"lengths,":[30],"and":[31,35,43,85],"using":[32,75],"preprocessing":[34],"training":[36],"techniques.":[37],"are":[40,66,88],"general":[41],"purpose,":[42],"use":[45],"language":[48],"version":[49],"Wikipedia":[51],"as":[52],"corpus.":[53],"We":[54],"also":[55],"evaluate":[56],"computational":[58],"resources":[59],"needed":[60],"task.":[63],"validated":[67],"by":[68],"performing":[69],"experiments":[71],"synonyms":[73],"detection,":[74],"a":[76],"new":[77],"dataset":[78,87],"created":[79],"purpose.":[82],"code":[84],"made":[89],"publicly":[90],"available.":[91],"indicate":[94],"that":[95],"these":[96],"types":[97],"can":[100],"be":[101],"used":[102],"with":[103],"summarization":[105],"approaches.":[106]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}