Změny mezi verzí 9 a verzí 10 u NerDataset

Časová značka:

30. 11. 2022 14:16:45 (před 20 měsíci)

Autor:

xnovot32@fi.muni.cz

Komentář:

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NerDataset

@@ -11 +11 @@
    1. The sentences come from all book pages (`all`) or just those considered relevant by human annotators (`only-relevant`).
    1. We split the sentences roughly into 90% for training (`training`) and 10% for validation (`validation`).
- * 16 tuples of files named `dataset_ner_*.sentences.txt`, `.ner_tags.txt`, and in two cases also `.docx`.[[BR]]These contain sentences and NER tags for supervised training, validation, and testing of language models.[[BR]]The `.docx` files are authored by human annotators and may contain extra details missing from files `.sentences.txt` and `.ner_tags.txt`.[[BR]]Here are the five variables that we used to produce the different files:
+ * 16 tuples of files named `dataset_ner_*.sentences.txt`, `.ner_tags.txt`, and in two cases also `.docx`.[[BR]]These files contain sentences and NER tags for supervised training, validation, and testing of language models.[[BR]]The `.docx` files are authored by human annotators and may contain extra details missing from files `.sentences.txt` and `.ner_tags.txt`.[[BR]]Here are the five variables that we used to produce the different files:
    1. The sentences may originate from book OCR texts using information retrieval techniques (`fuzzy-regex` or `manatee`).[[BR]]The sentences may also originate from regests (`regests`) or both books and regests (`fuzzy-regex+regests` and `fuzzy-regex+manatee`).
    1. When sentences originate from book OCR texts, they may span several pages of a book.[[BR]]However, page boundaries contain pollutants such as running heads, footnotes, and page numbers.[[BR]]We either allow the sentences to cross page boundaries (`all`) or not (`non-crossing`).