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Publication Year: 2026

41 to 50 of 1,365 Results

navez_spacy_off_the_shelf_ner_sm_evalpertype-2.csv Aug 25, 2026 - Replication Data for: From nineteenth-century letters to entities: "a NER pipeline for French correspondence and its methodological lessons" - Article for Digital Humanities Benelux Journal Comma Separated Values - 1.1 KB - MD5: 1c6948aab25b26cdc34d89384e66544a Evaluation metrics for each entity type recognised by the off-the-shelf fr_core_news_sm model (PER, LOC and ORG). Enables comparison of model performance across entity categories.
navez_spacy_off_the_shelf_ner_sm_mismatches.csv Aug 25, 2026 - Replication Data for: From nineteenth-century letters to entities: "a NER pipeline for French correspondence and its methodological lessons" - Article for Digital Humanities Benelux Journal Comma Separated Values - 2.2 MB - MD5: fdd354911d784ba25ace9972ad447335 Token-level comparison between predicted and gold-standard IOB labels for the off-the-shelf fr_core_news_sm model. Used for qualitative error analysis and identification of recurring recognition errors.
navez_spacy_off_the_shelf_ner_sm_results.csv Aug 25, 2026 - Replication Data for: From nineteenth-century letters to entities: "a NER pipeline for French correspondence and its methodological lessons" - Article for Digital Humanities Benelux Journal Comma Separated Values - 157.2 KB - MD5: 5f684b97b3c570eb8ada7751bdb6a075 Model predictions generated by the off-the-shelf fr_core_news_sm model using the isolated NER component (Workflow 1). Contains predicted entities, spans, labels and corresponding gold-standard annotations for the held-out test set.
navez_spacy_off_the_shelf_nlp_lg_evalall-2.csv Aug 25, 2026 - Replication Data for: From nineteenth-century letters to entities: "a NER pipeline for French correspondence and its methodological lessons" - Article for Digital Humanities Benelux Journal Comma Separated Values - 434 B - MD5: 0b166ca4796478707cf53976e9ed3da1 Overall evaluation results for the complete fr_core_news_lg NLP pipeline. Reports precision, recall and F1 scores under the Strict, Exact, Partial and Type evaluation scenarios using the Nervaluate framework.
navez_spacy_off_the_shelf_nlp_lg_evalpertype-2.csv Aug 25, 2026 - Replication Data for: From nineteenth-century letters to entities: "a NER pipeline for French correspondence and its methodological lessons" - Article for Digital Humanities Benelux Journal Comma Separated Values - 1.0 KB - MD5: 02002572ce6487ca896a367b54f4d998 Evaluation metrics for each entity type recognised by the complete fr_core_news_lg pipeline (PER, LOC and ORG). Enables comparison with the isolated NER workflow and the custom-trained model.
navez_spacy_off_the_shelf_nlp_lg_mismatches.csv Aug 25, 2026 - Replication Data for: From nineteenth-century letters to entities: "a NER pipeline for French correspondence and its methodological lessons" - Article for Digital Humanities Benelux Journal Comma Separated Values - 1.9 MB - MD5: 66e42633a3ae8e4f7ac2aa2bec9ba813 Token-level comparison between predicted and gold-standard IOB labels for the complete fr_core_news_lg NLP pipeline. Used for qualitative error analysis and comparison with the isolated NER workflow.
navez_spacy_off_the_shelf_nlp_lg_results.csv Aug 25, 2026 - Replication Data for: From nineteenth-century letters to entities: "a NER pipeline for French correspondence and its methodological lessons" - Article for Digital Humanities Benelux Journal Comma Separated Values - 156.8 KB - MD5: 0c0b15b22c6286d52351ce6df21146e7 Model predictions generated by the off-the-shelf fr_core_news_lg model using the complete spaCy NLP pipeline (Workflow 2). Contains predicted entities, spans, labels and corresponding gold-standard annotations for the held-out test set.
navez_spacy_off_the_shelf_nlp_sm_evalall-2.csv Aug 25, 2026 - Replication Data for: From nineteenth-century letters to entities: "a NER pipeline for French correspondence and its methodological lessons" - Article for Digital Humanities Benelux Journal Comma Separated Values - 438 B - MD5: 60738aaa0921c5c4de7de9e63ecca08a Overall evaluation results for the complete fr_core_news_sm NLP pipeline. Reports precision, recall and F1 scores under the Strict, Exact, Partial and Type evaluation scenarios using the Nervaluate framework.
navez_spacy_off_the_shelf_nlp_sm_evalpertype-2.csv Aug 25, 2026 - Replication Data for: From nineteenth-century letters to entities: "a NER pipeline for French correspondence and its methodological lessons" - Article for Digital Humanities Benelux Journal Comma Separated Values - 1.0 KB - MD5: 0063ddb26e8f5f36183bac8e2cffb6d2 Evaluation metrics for each entity type recognised by the complete fr_core_news_sm pipeline (PER, LOC and ORG). Enables comparison with the isolated NER workflow.
navez_spacy_off_the_shelf_nlp_sm_mismatches.csv Aug 25, 2026 - Replication Data for: From nineteenth-century letters to entities: "a NER pipeline for French correspondence and its methodological lessons" - Article for Digital Humanities Benelux Journal Comma Separated Values - 2.1 MB - MD5: 25c9405590014091e5d08bf4aebb8301 Token-level comparison between predicted and gold-standard IOB labels for the complete fr_core_news_sm NLP pipeline. Used for the qualitative error analysis and identification of recurring recognition errors.

navez_spacy_off_the_shelf_ner_sm_evalpertype-2.csv

Aug 25, 2026 - Replication Data for: From nineteenth-century letters to entities: "a NER pipeline for French correspondence and its methodological lessons" - Article for Digital Humanities Benelux Journal

Comma Separated Values - 1.1 KB -

Evaluation metrics for each entity type recognised by the off-the-shelf fr_core_news_sm model (PER, LOC and ORG). Enables comparison of model performance across entity categories.

navez_spacy_off_the_shelf_ner_sm_mismatches.csv

Comma Separated Values - 2.2 MB -

Token-level comparison between predicted and gold-standard IOB labels for the off-the-shelf fr_core_news_sm model. Used for qualitative error analysis and identification of recurring recognition errors.

navez_spacy_off_the_shelf_ner_sm_results.csv

Comma Separated Values - 157.2 KB -

Model predictions generated by the off-the-shelf fr_core_news_sm model using the isolated NER component (Workflow 1). Contains predicted entities, spans, labels and corresponding gold-standard annotations for the held-out test set.

navez_spacy_off_the_shelf_nlp_lg_evalall-2.csv

Comma Separated Values - 434 B -

Overall evaluation results for the complete fr_core_news_lg NLP pipeline. Reports precision, recall and F1 scores under the Strict, Exact, Partial and Type evaluation scenarios using the Nervaluate framework.

navez_spacy_off_the_shelf_nlp_lg_evalpertype-2.csv

Comma Separated Values - 1.0 KB -

Evaluation metrics for each entity type recognised by the complete fr_core_news_lg pipeline (PER, LOC and ORG). Enables comparison with the isolated NER workflow and the custom-trained model.

navez_spacy_off_the_shelf_nlp_lg_mismatches.csv

Comma Separated Values - 1.9 MB -

Token-level comparison between predicted and gold-standard IOB labels for the complete fr_core_news_lg NLP pipeline. Used for qualitative error analysis and comparison with the isolated NER workflow.

navez_spacy_off_the_shelf_nlp_lg_results.csv

Comma Separated Values - 156.8 KB -

Model predictions generated by the off-the-shelf fr_core_news_lg model using the complete spaCy NLP pipeline (Workflow 2). Contains predicted entities, spans, labels and corresponding gold-standard annotations for the held-out test set.

navez_spacy_off_the_shelf_nlp_sm_evalall-2.csv

Comma Separated Values - 438 B -

Overall evaluation results for the complete fr_core_news_sm NLP pipeline. Reports precision, recall and F1 scores under the Strict, Exact, Partial and Type evaluation scenarios using the Nervaluate framework.

navez_spacy_off_the_shelf_nlp_sm_evalpertype-2.csv

Comma Separated Values - 1.0 KB -

Evaluation metrics for each entity type recognised by the complete fr_core_news_sm pipeline (PER, LOC and ORG). Enables comparison with the isolated NER workflow.

navez_spacy_off_the_shelf_nlp_sm_mismatches.csv

Comma Separated Values - 2.1 MB -

Token-level comparison between predicted and gold-standard IOB labels for the complete fr_core_news_sm NLP pipeline. Used for the qualitative error analysis and identification of recurring recognition errors.

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