Papers by Andrej Žukov-Gregorič

1 papers
Named Entity Recognition With Parallel Recurrent Neural Networks (P18-2)

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Challenge: Named entity recognition is an important element of natural language understanding . a shift in focus has been on designing better neural architectures for solving NER .
Approach: They propose a new architecture for named entity recognition that uses multiple LSTM units instead of a single LStm component.
Outcome: The proposed architecture achieves state-of-the-art on the CoNLL 2003 NER dataset .

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