Nested Named Entity Recognition via Explicitly Excluding the Influence of the Best Path (2021.acl-long)
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| Challenge: | Existing methods for named entity recognition assume entities are not nested within other entities, so-called flat NER. |
| Approach: | They propose a layered method for nested named entity recognition . they use a set of hidden states to exclude the influence of the best path . |
| Outcome: | The proposed method performs better on ACE2004, ACE2005, and GENIA datasets. |
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| Challenge: | Named Entity Recognition (NER) is a fundamental NLP task. |
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| Challenge: | Named entity recognition (NER) is a task of finding entities with specific semantic types such as Protein, Cell, and RNA in text. |
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| Challenge: | Named entity recognition (NER) is a challenging task in natural language processing . nested NER requires sophisticated techniques to identify entities within entities . |
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| Challenge: | Named entity recognition is divided into nested NER and flat NER depending on whether entities are nesting. |
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| Challenge: | Named entity recognition (NER) is a task of identifying and classifying named entities (NE) within text. |
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| Challenge: | Entity mentions embedded in longer entity mentions are referred to as nested entities due to the properties of natural language. |
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