_reliability-aware-dynamic-feature-composition-for-name-tagging.jpg "Reliability-aware Dynamic Feature Composition for Name Tagging from lin tail Video Screenshot Preview")
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⏲ Duration: 9 min 87 sec
✓ Published: 10-Jan-2020
✓ Published: 10-Jan-2020
Description:
Authors: Ying Lin, Liyuan Liu, Heng Ji, Dong Yu, Jiawei HannnWord embeddings are widely used on a variety of tasks and can substantially improve the performance. However, their quality is not consistent throughout the vocabulary due to the long-tail distribution of word frequency. Without sufficient contexts, rare word embeddings are usually less reliable than those of common words. However, current models typically trust all word embeddings equally regardless of their reliability and thus may i
Authors: Ying Lin, Liyuan Liu, Heng Ji, Dong Yu, Jiawei HannnWord embeddings are widely used on a variety of tasks and can substantially improve the performance. However, their quality is not consistent throughout the vocabulary due to the long-tail distribution of word frequency. Without sufficient contexts, rare word embeddings are usually less reliable than those of common words. However, current models typically trust all word embeddings equally regardless of their reliability and thus may i
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