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<head>
<link rel="stylesheet" type="text/css" href="eqa.css">
</head>
<div id="content">
<div id="center-nav">
<ul>
<li><a href="workshop.html">WORKSHOP</a></li>
<li><a href="papers.html">PAPERS</a></li>
<li><a href="data.html">DATA</a></li>
<li><a href="eqa.html">MAIN</a></li>
<li><a href="tools.html">TOOLS</a></li>
<li class="active">RESULTS</li>
<li><a href="contact.html">CONTACT</a></li>
</ul>
<hr width="70%">
</div>
<div id="content">
<br>
<ul>
<li>
<div id="resultheader"><a href="data.html#mctest">MC Test</a></div>
<div id="result" align="center">
<table id="result">
<col width=240>
<thead>
<tr>
<th colspan="1"></th>
<th colspan="3">MC 160</th>
<th colspan="3">MC 500</th>
</tr>
<tr>
<th colspan="1">System</th>
<th>Single</th>
<th>Multiple</th>
<th>All</th>
<th>Single</th>
<th>Multiple</th>
<th>All</th>
</tr>
</thead>
<tbody>
<tr id="trischler2016">
<td width="30%"><a href="_papers/1603.08884.pdf">Trischler (2016)</a> Parallel-Hierarchical</td>
<td>79.46</td>
<td>70.30</td>
<td>74.58</td>
<td>74.26</td>
<td>68.29</td>
<td>71.00</td>
</tr>
<tr id="wang2015">
<td><a href="_papers/P15-2115.pdf">Wang (2015)</a></td>
<td>84.22</td>
<td>67.85</td>
<td>75.27</td>
<td>72.05</td>
<td>67.94</td>
<td>69.94</td>
</tr>
<tr id="sachan2015">
<td><a href="_papers/P15-1024.pdf">Sachan (2015)</a></td>
<td>--</td>
<td>--</td>
<td>--</td>
<td>67.65</td>
<td>67.99</td>
<td>67.83</td>
</tr>
<tr id="smith2015">
<td><a href="_papers/D15-1197.pdf">Smith (2015)</a> Final + RTE</td>
<td>78.79</td>
<td>70.31</td>
<td>74.27</td>
<td>69.12</td>
<td>63.34</td>
<td>65.96</td>
</tr>
<tr id="narasimhan2015">
<td><a href="_papers/P15-1121.pdf">Narasimhan (2015)</a> Model 3</td>
<td>82.36</td>
<td>65.23</td>
<td>73.23</td>
<td>68.38</td>
<td>59.90</td>
<td>63.75</td>
</tr>
<tr id="richardson2013">
<td><a href="_papers/D13-1020.pdf">Richardson (2013)</a> SWD + RTE</td>
<td>76.78</td>
<td>62.50</td>
<td>69.16</td>
<td>68.01</td>
<td>59.45</td>
<td>63.33</td>
</tr>
<tr id="yin2016">
<td><a href="_papers/1602.04341v1.pdf">Yin (2016)</a> HABCNN-TE</td>
<td>63.3</td>
<td>62.9</td>
<td>63.1</td>
<td>54.2</td>
<td>51.7</td>
<td>52.9</td>
</tr>
</tbody>
</table>
<br>
</div>
<hr width=60%>
</li>
<li>
<div id="resultheader"><a href="#todai">Todai Exam</a></div>
<div id="result" align="center">
<table id="result">
<col width=240>
<thead>
<tr>
<th colspan="1">System</th>
<th colspan="1">English</th>
<th colspan="1">Japanese</th>
<th colspan="1">Japanese History</th>
<th colspan="1">Math IA</th>
<th colspan="1">Math IIB</th>
<th colspan="1">Physics</th>
<th colspan="1">World History</th>
</tr>
<tr>
<th colspan="1"></th>
<th colspan="1">/200</th>
<th colspan="1">/150</th>
<th colspan="1">/100</th>
<th colspan="1">/100</th>
<th colspan="1">/100</th>
<th colspan="1">/100</th>
<th colspan="1">/100</th>
</tr>
</thead>
<tbody>
<tr id="fujita2014">
<td><a href="_papers/todai_overview.pdf">Fujita (2013)</a> Task-takers</td>
<td>52</td>
<td>62</td>
<td>56</td>
<td>57</td>
<td>41</td>
<td>39</td>
<td>58</td>
</tr>
<tr>
<td>Student Average</td>
<td>88.3</td>
<td>72.2</td>
<td>45.6</td>
<td>52.0</td>
<td>47.6</td>
<td>42.0</td>
<td>46.6</td>
</tr>
</tbody>
</table>
</div>
<hr width=60%>
</li>
<li>
<div id="resultheader"><a href="data.html#deepmind">DeepMind CNN</a></div>
<div id="result" align="center">
<table id="result">
<col width=240>
<thead>
<tr>
<th colspan="1">System</th>
<th colspan="1">Validation</th>
<th colspan="1">Test</th>
</tr>
</thead>
<tbody>
<tr id="dhingra2016">
<td width="40%"><a href="_papers/1606.01549v1.pdf">Dhingra (2016)</a> GA Reader Ensemble</td>
<td>76.4</td>
<td>77.4</td>
</tr>
<tr id="sordoni2016">
<td width="40%"><a href="_papers/1606.02245v1.pdf">Sordoni (2016)</a> Best Ensemble</td>
<td>74.5</td>
<td>75.7</td>
</tr>
<tr id="kadlec2016">
<td><a href="_papers/1603.01547v1.pdf">Kadlec (2016)</a> Ensemble <sup>†</sup></td>
<td>73.9</td>
<td>75.4</td>
</tr>
<tr id="cui2016">
<td><a href="_papers/1607.04423v2.pdf">Cui (2016)</a> AoA Reader Single</td>
<td>73.1</td>
<td>74.4</td>
</tr>
<tr id="trischler2016">
<td><a href="_papers/1606.02270v2.pdf">Trischler (2016)</a> EpiReader</td>
<td>73.4</td>
<td>74.0</td>
</tr>
<tr id="dhingra2016">
<td width="40%"><a href="_papers/1606.01549v1.pdf">Dhingra (2016)</a> GA Reader Single</td>
<td>73.0</td>
<td>73.8</td>
</tr>
<tr id="weissenborn2016">
<td><a href="_papers/1607.03316v1.pdf">Weissenborn (2016)</a> QANN 4 hops</td>
<td>--</td>
<td>73.7</td>
</tr>
<tr>
<td><a href="_papers/1606.02245v1.pdf">Sordoni (2016)</a> Single</td>
<td>72.6</td>
<td>73.3</td>
</tr>
<tr id="chen2016">
<td><a href="_papers/1606.02858v1.pdf">Chen (2016)</a> Neural Net</td>
<td>72.4</td>
<td>72.4</td>
</tr>
<tr id="kobayashi2016">
<td><a href="_papers/N16-1099.pdf">Kobayashi (2016)</a> Full + w2v-init</td>
<td>71.2</td>
<td>72.9</td>
</tr> <tr>
<td><a href="_papers/1603.01547v1.pdf">Kadlec (2016)</a> AS Reader</td>
<td>68.6</td>
<td>69.9</td>
</tr>
<tr id="hill2016">
<td><a href="_papers/1511.02301v3.pdf">Hill (2016)</a> Best</td>
<td>66.2</td>
<td>69.4</td>
</tr>
<tr id="tian2016">
<td><a href="_papers/1605.03284v2.pdf">Tian (2016)</a> L2R</td>
<td> -- </td>
<td>65.8</td>
</tr>
<tr id="hermann2015">
<td><a href="1506.03340.pdf">Hermann (2015)</a> Attentive</td>
<td>61.6</td>
<td>61.8</td>
</tr>
<tr>
<td><a href="1506.03340.pdf">Hermann (2015)</a> Impatient</td>
<td>61.8</td>
<td>63.8</td>
</tr>
<tr>
<td><a href="_papers/1605.03284v2.pdf">Tian (2016)</a> Deep LSTM</td>
<td> -- </td>
<td>57.0</td>
</tr>
<tr>
<td colspan="3"><sup>†</sup>Result of other models as reported in <a href="_papers/1606.02245v1.pdf">Sordoni (2016)</a> </td>
</tr>
</tbody>
</table>
</div>
<hr width=60%>
</li>
<li>
<div id="resultheader"><a href="data.html#deepmind">DeepMind Daily Mail</a></div>
<div id="result" align="center">
<table id="result">
<col width=340>
<thead>
<tr>
<th colspan="1">System</th>
<th colspan="1">Validation</th>
<th colspan="1">Test</th>
</tr>
</thead>
<tbody>
<tr id="dhingra2016">
<td width="40%"><a href="_papers/1606.01549v1.pdf">Dhingra (2016)</a> GA Reader Ensemble</td>
<td>79.1</td>
<td>78.1</td>
</tr>
<tr id="kadlec2016">
<td><a href="_papers/1603.01547v1.pdf">Kadlec (2016)</a> Greedy Ensemble</td>
<td>78.7</td>
<td>77.7</td>
</tr>
<tr id="weissenborn2016">
<td><a href="_papers/1607.03316v1.pdf">Weissenborn (2016)</a> QANN 8 hops</td>
<td>--</td>
<td>77.2</td>
</tr>
<tr id="chen2016">
<td><a href="_papers/1606.02858v1.pdf">Chen (2016)</a> Neural Net</td>
<td>76.9</td>
<td>75.8</td>
</tr>
<tr id="dhingra2016">
<td width="40%"><a href="_papers/1606.01549v1.pdf">Dhingra (2016)</a> GA Reader Single</td>
<td>76.7</td>
<td>75.7</td>
</tr>
<tr id="kadlec2016">
<td><a href="_papers/1603.01547v1.pdf">Kadlec (2016)</a> Single</td>
<td>75.0</td>
<td>73.9</td>
</tr>
<tr>
<td><a href="1506.03340.pdf">Hermann (2015)</a> Attentive</td>
<td>70.5</td>
<td>69.0</td>
</tr>
<tr>
<td><a href="1506.03340.pdf">Hermann (2015)</a> Impatient</td>
<td>69.0</td>
<td>68.0</td>
</tr>
<tr id="tian2016">
<td><a href="_papers/1605.03284v2.pdf">Tian (2016)</a> L2R</td>
<td> -- </td>
<td>67.3</td>
</tr>
<tr>
<td><a href="_papers/1605.03284v2.pdf">Tian (2016)</a> Deep LSTM</td>
<td> -- </td>
<td>62.2</td>
</tr>
</tbody>
</table>
</div>
<hr width=60%>
</li>
<li>
<div id="resultheader"><a href="data.html#cbt">Facebook Children's Book Test</a></div>
<div id="result" align="center">
<table id="result">
<col width=240>
<thead>
<tr>
<th colspan="1">System</th>
<th colspan="1">Named Entities</th>
<th colspan="1">Common Nouns</th>
<th colspan="1">Verbs</th>
<th colspan="1">Prepositions</th>
</tr>
</thead>
<tbody>
<tr id="cui2016">
<td><a href="_papers/1607.04423v2.pdf">Cui (2016)</a> AoA Reader Single</td>
<td>72.0</td>
<td>69.4</td>
<td>--</td>
<td>--</td>
</tr>
<tr id="trischler2016">
<td><a href="_papers/1606.02270v2.pdf">Trischler (2016)</a> EpiReader Ensemble</td>
<td>71.8</td>
<td>70.6</td>
<td>--</td>
<td>--</td>
</tr>
<tr id="sordoni2016">
<td width="40%"><a href="_papers/1606.02245v1.pdf">Sordoni (2016)</a> Ensemble</sup></td>
<td>72.0</td>
<td>71.0</td>
<td>--</td>
<td>--</td>
</tr>
<tr id="dhingra2016">
<td width="40%"><a href="_papers/1606.01549v1.pdf">Dhingra (2016)</a> GA Reader Ensemble</td>
<td>71.9</td>
<td>69.4</td>
<td>--</td>
<td>--</td>
</tr>
<tr id="weissenborn2016">
<td><a href="_papers/1607.03316v1.pdf">Weissenborn (2016)</a> QANN 8 hops</td>
<td>70.6</td>
<td>--</td>
<td>--</td>
<td>--</td>
</tr>
<tr id="kadlec2016">
<td><a href="_papers/1603.01547v1.pdf">Kadlec (2016)</a> Ensemble <sup>†</sup></td>
<td>70.6</td>
<td>68.9</td>
<td>--</td>
<td>--</td>
</tr>
<tr id="trischler2016">
<td><a href="_papers/1606.02270v2.pdf">Trischler (2016)</a> EpiReader Single</td>
<td>69.7</td>
<td>67.4</td>
<td>--</td>
<td>--</td>
</tr>
<tr id="sordoni2016">
<td width="40%"><a href="_papers/1606.02245v1.pdf">Sordoni (2016)</a> Best Single</td>
<td>68.6</td>
<td>69.2</td>
<td>--</td>
<td>--</td>
</tr>
<tr id="dhingra2016">
<td width="40%"><a href="_papers/1606.01549v1.pdf">Dhingra (2016)</a> GA Reader Single</td>
<td>69.0</td>
<td>63.9</td>
<td>--</td>
<td>--</td>
</tr>
<tr id="kadlec2016">
<td><a href="_papers/1603.01547v1.pdf">Kadlec (2016)</a> Single</td>
<td>68.6</td>
<td>63.4</td>
<td>--</td>
<td>--</td>
</tr>
<tr id="hill2016">
<td><a href="_papers/1511.02301v3.pdf">Hill (2016)</a> MemNNs Best</td>
<td>66.6</td>
<td>63.0</td>
<td>69.0</td>
<td>70.3</td>
</tr>
<tr id="hill2016">
<td><a href="_papers/1511.02301v3.pdf">Hill (2016)</a> MemNNs Best</td>
<td>66.6</td>
<td>63.0</td>
<td>69.0</td>
<td>70.3</td>
</tr>
<tr>
<td><a href="_papers/1511.02301v3.pdf">Hill (2016)</a> Contextual LSTM</td>
<td>43.6</td>
<td>58.2</td>
<td>80.5</td>
<td>80.6</td>
</tr>
<tr>
<td><a href="_papers/1511.02301v3.pdf">Hill (2016)</a> Embedding (window + position)</td>
<td>40.2</td>
<td>50.6</td>
<td>73.6</td>
<td>67.0</td>
</tr>
<tr>
<td><a href="_papers/1511.02301v3.pdf">Hill (2016)</a> Kneser-Ney + Cache</td>
<td>43.9</td>
<td>57.7</td>
<td>77.2</td>
<td>67.9</td>
</tr>
<tr>
<td colspan="5"><sup>†</sup>Result of other models as reported in Sordoni (2016) </td>
</tr>
</tbody>
</table>
</div>
<hr width=60%>
</li>
<li>
<div id="resultheader"><a href="data.html#squad">Stanford Question Answering Dataset</a></div>
<div id="result" align="center">
<table id="result">
<col width=240>
<thead>
<tr>
<th colspan="1">System</th>
<th colspan="1">Dev F1</th>
<th colspan="1">Test F1</th>
</tr>
</thead>
<tbody>
<tr>
<td width="40%">Human Performance</td>
<td>90.5</td>
<td>86.8</td>
</tr>
<tr id="squad2016">
<td><a href="_papers/1606.05250v1.pdf">Rajpurkar (2016)</a> Logistic Regression</td>
<td>51.0</td>
<td>51.0</td>
</tr>
</tbody>
</table>
</div>
<hr width=60%>
</li>
<li>
<div id="resultheader"><a href="#ai2">Ai2 Science Exams (Aristo)</a></div>
<div id="result" align="center">
No systematic, peer-reviewed results on this data set yet.
</div>
<hr width=60%>
</li>
</ul>
</div>
</div>