A recurrent random walk network for collective entity linking, guided by external knowledge, outperforms state-of-the-art models on standard datasets.
Duchi, Elad Hazan, and Yoram Singer
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CL 1years
2019 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Neural Collective Entity Linking Based on Recurrent Random Walk Network Learning
A recurrent random walk network for collective entity linking, guided by external knowledge, outperforms state-of-the-art models on standard datasets.