ED2: A Case for Active Learning in Error Detection
Author:
Affiliation:
1. DFKI GmbH, Berlin, Germany
2. TU Berlin, Berlin, Germany
3. TU Berlin & DFKI GmbH, Berlin, Germany
Funder
Bundesministerium für Verkehr und Digitale Infrastruktur
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3357384.3358129
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2. Michael Bloodgood and K Vijay-Shanker. 2009. A method for stopping active learning based on stabilizing predictions and the need for user-adjustable stopping. In CoNLL. 39--47. Michael Bloodgood and K Vijay-Shanker. 2009. A method for stopping active learning based on stabilizing predictions and the need for user-adjustable stopping. In CoNLL. 39--47.
3. Tianqi Chen and Carlos Guestrin. 2016. XGBoost: A scalable tree boosting system. In SIGKDD. 785--794. Tianqi Chen and Carlos Guestrin. 2016. XGBoost: A scalable tree boosting system. In SIGKDD. 785--794.
4. KATARA
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