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README.md
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@@ -53,7 +53,7 @@ The entire documents were collected from an open-source database at https://db.i
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- <code style="color : red"> dataset.py </code> return processed dataset that can be easily applied to general NLP models.
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- For monolingual setting: *KoreanDataset*, *HanjaDataset*
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- For Bilingual setting: *JointDataset*
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- <code style="color : red"> ner_map.json </code
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- Sequence level (SL) is a unit of sequence length for extracting self-contained sub-texts without losing context information for each relation in the text. Each folder SL-k indicates that SL is k.
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# Dataset usages
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- <code style="color : red"> dataset.py </code> return processed dataset that can be easily applied to general NLP models.
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- For monolingual setting: *KoreanDataset*, *HanjaDataset*
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- For Bilingual setting: *JointDataset*
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- <code style="color : red"> ner_map.json </code> and <code style="color : red"> label_map.json </code> are the mapping dictionaries from label classes to indexes.
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- Sequence level (SL) is a unit of sequence length for extracting self-contained sub-texts without losing context information for each relation in the text. Each folder SL-k indicates that SL is k.
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# Dataset usages
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