8000 GitHub - lyyang01/EASAL: The code and data for the long paper "EASAL: Entity-Aware Subsequence-based Active Learning for Named Entity Recognition" accepted in AAAI 2023.
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The code and data for the long paper "EASAL: Entity-Aware Subsequence-based Active Learning for Named Entity Recognition" accepted in AAAI 2023.

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EASAL

The code and data for the long paper "EASAL: Entity-Aware Subsequence-based Active Learning for Named Entity Recognition" accepted in AAAI 2023.

Data

the four datasets used in the paper are put in the "easal/data" file

Run AL

we provide four scripts for four datasets, respectively. Taking CoNLL-2003 as the example, you can run the AL process by:

sh run_conll.sh

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The code and data for the long paper "EASAL: Entity-Aware Subsequence-based Active Learning for Named Entity Recognition" accepted in AAAI 2023.

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