Using Sentence-Level Neural Network Models for Multiple-Choice Reading Comprehension Tasks

<div class="floats-full-page floats-full-page-figure"><h2>Figure 3</h2><div class="floats-full-page-caption"><div>Experiment about the top <span class="nowrap"><svg height="8.8423pt" id="M26" style="vertical-align:-0.2064009pt" version="1.1" viewbox="-0.0498162 -8.6359 11.0475 8.8423" width="11.0475pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><g transform="matrix(.013,0,0,-0.013,0,0)"><path d="M822 650H589L583 622C660 617 677 607 674 561C672 534 664 481 647 390L600 137H596L273 650H126L120 622C176 620 194 615 207 594C221 571 225 557 214 504L161 257C141 166 129 112 121 85C108 42 83 30 29 28L23 0H260L266 28C193 33 173 42 176 89C178 122 186 172 202 255L256 527H259L583 -8H612L690 390C708 481 720 535 728 558C744 603 756 619 816 622L822 650Z" id="g113-79"></path></g></svg>.</span></div></div><div class="floats-full-page-content"><table class="figure-group"><tr class="fig-image"><td><object data="https://static-01.hindawi.com/articles/wcmc/volume-2018/2678976/figures/2678976.fig.003.svgz" name="2678976.fig.003" type="image/svg+xml"></object></td></tr></table></div></div>

Figure 3 | Using Sentence-Level Neural Network Models for Multiple-Choice Reading Comprehension Tasks

title

Figure 3: Using Sentence-Level Neural Network Models for Multiple-Choice Reading Comprehension Tasks

description

Figure 3

About this journal

<p><em>Wireless Communications and Mobile Computing</em> provides the R&amp;D communities working in academia and the telecommunications and networking industries with a forum for sharing research and ideas in this fast moving field.</p>


Journal profile

Meet the editorial board

<p><em>Wireless Communications and Mobile Computing</em> maintains an Editorial Board of practicing researchers from around the world, to ensure manuscripts are handled by editors who are experts in the field of study.</p>


Editor spotlight

Submit to Special Issue

We currently have a number of Special Issues open for submission. Special Issues highlight emerging areas of research within a field, or provide a venue for a deeper investigation into an existing research area.