[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-187155-en":3,"doc-seo-187155-105":30,"detail-sidebar-cat-1-en-105":92},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":11,"category_id":12,"category_name":13,"doc_title":14,"doc_description":15,"doc_content":16,"file_id":17,"file_url":18,"file_type":19,"file_size":20,"view_count":11,"is_deleted":4,"is_public":11,"is_downloadable":11,"audit_status":11,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":27,"seo_description":15,"update_tm":28,"read_time":29},187155,687197207057,"Sage","https://ap-avatar.wpscdn.com/davatar_29158cc5080c5b710cf443261637dec0",1,11,"Presentations","UD dependency relations and PoS tagging templates evaluation","Evaluation of templates and tagging rules for Universal Dependencies parsing and part-of-speech (PoS) identification. Dependency relations coverage and accuracy are reported, including precision, recall, F-measure, and overall accuracy for B/I/O tagging states. Separate metrics quantify PoS tag performance with the same B/I/O breakdown. Additional template-level rules specify starting and final tag behavior with example rule patterns, and classifier experiments compare XGBClassifier and XGBRFClassifier performance using precision, recall, F-measure, and accuracy values.","| \\# Sentences | 790 |\n| --- | --- |\n| \\# Tokens | 16,672 |\n| \\# CoNLL fields | 10 |\n| \\# UD Relations | 38 |\n| \\# UD PoS Tag | 16 |\n| Data quantity | 1020 kB |\n\n\n| token | deprel | upos | deps | IOB-format |\n| --- | --- | --- | --- | --- |\n| Averris | root | PROPN | 0 | B |\n| no | - | - | - | I |\n| em | case | ADP | 2 | I |\n| o | det | DET | 3 | I |\n| poder | nmod | NOUN | 1 | I |\n\n\n|  | Templates | Rules | Accuracy |\n| --- | --- | --- | --- |\n| UD dependency relations | 8 | 57 | 87,42% |\n| UD PoS Tag | 2 | 6 | 91,44% |\n\n\n| Template | Starting tag | Final tag | Rule |\n| --- | --- | --- | --- |\n| 017 | ‘B’ | ‘I’ | (token[-1], ’det’),(token[1],’flat:name’) |\n| 009 | ‘B’ | ‘O’ | (token[-1],’nsubj’) |\n| 017 | ‘B’ | ‘I’ | (token[-1],’case’),(token[1],’flat:name’) |\n| 000 | ‘I’ | ‘B’ | (tag [-1],’O’) |\n| 010 | ’B’ | ‘O’ | (token [1]),’acl:relcl’) |\n| 017 | ‘I’ | ‘B’ | (token[-1], ’root’),(token[1]),’obj’) |\n\n\n| Template | Starting tag | Final tag | Rule |\n| --- | --- | --- | --- |\n| 017 | ‘O’ | ‘B’ | (token[-1],’ADP’),(token[1],’NOUN’) |\n| 017 | ‘O’ | ‘I’ | (token[-1],’DET’),(token[1],’NOUN’) |\n| 017 | ‘O’ | ‘B’ | (token[-1],’ADP’),(token[1],’PROPN’) |\n| 017 | ‘O’ | ‘I’ | (token[-1],’NUM’),(token[1],’NOUN’) |\n| 001 | ’O’ | ‘B’ | (tag [1]), ’I’) |\n| 017 | ‘O’ | ‘B’ | (token[-1],’ADP’),(token[1]),’SCONJ’) |\n\n\n| Tags |  | Metrics |  |  |\n| --- | --- | --- | --- | --- |\n|  | Precision | Recall | F-measure | Accuracy |\n| UD relations |  |  |  | 87,42 |\n| B | 78,66 | 88,02 | 83,08 | – |\n| I | 88,79 | 76,34 | 82,09 | – |\n| O | 88,94 | 89,47 | 89,20 | – |\n| UD PoS Tag |  |  |  | 91,44 |\n| B | 92,18 | 93,81 | 92,99 | – |\n| I | 90,91 | 85,89 | 88,33 | – |\n| O | 91,05 | 92,91 | 91,97 | – |\n\n\n| Classifiers |  | Metrics |  |  |\n| --- | --- | --- | --- | --- |\n|  | Precision | Recall | F-measure | Accuracy |\n| XGBClassifier | 87,19 | 86,65 | 86,78 | 86,65 |\n| XGBRFClassifier | 86,33 | 86,07 | 86,16 | 86,07 |","cbCaipGyUwuFudnJ","https://ap.wps.com/l/cbCaipGyUwuFudnJ","pdf",7511480,101,"English","en",105,"# UD dependency relations\n## Template rules and constraints\n## Tag-state metrics (B/I/O)\n# UD PoS tag\n## PoS performance breakdown (B/I/O)\n# Classifier comparison\n## XGBClassifier vs XGBRFClassifier","[{\"question\":\"What is being evaluated in this document?\",\"answer\":\"UD dependency relations and PoS tagging are evaluated using template rules and metrics such as precision, recall, F-measure, and accuracy.\"},{\"question\":\"How are tagging states (B/I/O) used in the results?\",\"answer\":\"Results break down performance by B, I, and O states, reporting precision, recall, F-measure, and accuracy for both UD relations and PoS tags.\"},{\"question\":\"Which classifiers are compared and what metrics are reported?\",\"answer\":\"XGBClassifier and XGBRFClassifier are compared, with precision, recall, F-measure, and accuracy reported for each.\"}]","UD dependency relations and PoS tagging templates evaluation | 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