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

<div class="floats-full-page floats-full-page-other"><h2>Table 3</h2><div class="floats-full-page-caption"><div>Comparison of different reader model on three testing datasets.</div></div><div class="floats-full-page-content"><table class="fixed-width table-group" id="tab3"><tr><td><table class="table"><colgroup><col style="width:21.55em" /><col style="width:5.31em" /><col style="width:6.11em" /><col style="width:6.24em" /></colgroup><tr><td class="thead-hr" colspan="4"><hr /></td></tr><tr><td class="align_left">Method</td><td class="align_center">BCEETest</td><td class="align_center">SBCEETest1</td><td class="align_center">SBCEETest2</td></tr><tr><td class="align_left" colspan="4"><hr /></td></tr><tr><td class="align_left">HABCNN-TE</td><td class="align_center">0.428</td><td class="align_center">0.442</td><td class="align_center">0.438</td></tr><tr><td class="align_left">Match Reader</td><td class="align_center">0.461</td><td class="align_center">0.452</td><td class="align_center">0.455</td></tr><tr><td class="align_left">SM Reader</td><td class="align_center">0.495</td><td class="align_center">0.491</td><td class="align_center">0.499</td></tr><tr><td class="align_left">CAS Reader</td><td class="align_center">0.513</td><td class="align_center">0.503</td><td class="align_center">0.516</td></tr><tr><td class="align_left">Sentence-Level Attention Reader (mode:max+avg)</td><td class="align_center">0.581</td><td class="align_center">0.535</td><td class="align_center">0.578</td></tr><tr class="table-tr"><td colspan="4"><hr class="tbody-hr" /></td></tr></table></td></tr></table></div></div>

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

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

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Table 3

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