Papers with English news texts

1 papers
NLNDE: Enhancing Neural Sequence Taggers with Attention and Noisy Channel for Robust Pharmacological Entity Detection (D19-57)

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Challenge: Named entity recognition has been extensively studied on English news texts, but transfer to other domains and languages is still a challenging problem.
Approach: They propose a system that provides a non-standard domain and language setting for pharmacological entity detection in Spanish texts and a sequencelabeling task that requires neither language nor domain expertise.
Outcome: The proposed system achieves up to 88.6% F1 in the PharmaCoNER competition and is based on a sequence labeling task and training on annotated data.

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