Refining Automatically Extracted Knowledge Bases Using Crowdsourcing

<table class="figure-group"><tr class="fig-image" id="a"><td><object data="https://static.hindawi.com/articles/cin/volume-2017/4092135/figures/4092135.fig.007a.svgz" name="4092135.fig.007a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b>Quality</td></tr><tr class="fig-image" id="b"><td><object data="https://static.hindawi.com/articles/cin/volume-2017/4092135/figures/4092135.fig.007b.svgz" name="4092135.fig.007b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b>Questions</td></tr><tr class="fig-image" id="c"><td><object data="https://static.hindawi.com/articles/cin/volume-2017/4092135/figures/4092135.fig.007c.svgz" name="4092135.fig.007c" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(c) </b>Iterations</td></tr></table>

<div>Evaluation of our error-tolerant technique.</div>

Computational Intelligence and Neuroscience

fig7

Figure 7

Figure 7: Refining Automatically Extracted Knowledge Bases Using Crowdsourcing 