Универсал кодер

material ID: universalencoder

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Publication: TIPSTER (2019)

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AbstractThe paper presents a system developed for the SemEval-2019 competition Task 5 hat- Eval Basile et al. (2019) (team name: LU Team) and Task 6 OffensEval Zampieri et al. (2019b) …...

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Predicting Annotation Difficulty to Improve Task Routing and Model Performance for Biomedical Information Extraction

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Publication: TIPSTER (2019)

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AbstractModern NLP systems require high-quality annotated data. For specialized domains, expert annotations may be prohibitively expensive; the alternative is to rely on crowdsourcing to reduce costs at the risk of …...

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