Papers with mul-itiview learning

1 papers
Multi-Multi-View Learning: Multilingual and Multi-Representation Entity Typing (D18-1)

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Challenge: Accurate and complete knowledge bases (KBs) are paramount in NLP.
Approach: They employ multiview learning for increasing the accuracy and coverage of entity type information in KBs by taking high- and low-resource languages from Wikipedia.
Outcome: The proposed learning improves the accuracy and coverage of knowledge bases (KBs) by combining language and representation.

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