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horus_output.html
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/
horus_output.html
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<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN"
"http://www.w3.org/TR/html4/loose.dtd">
<html>
<head>
<title>HORUS Interface</title>
<table>
<tr>
<th colspan="3">HORUS MATRIX 0.1.5</th>
</tr>
<tr>
<td>#</td>
<td>field</td>
<td>description</td>
</tr>
<tr>
<td>00</td>
<td>IS_NAMED_ENTITY</td>
<td>(-1: unknown [test]; 0: no; 1:yes [training])</td>
</tr>
<tr>
<td>01</td>
<td>ID_SENT</td>
<td>sentence position</td>
</tr>
<tr>
<td>02</td>
<td>ID_WORD</td>
<td>term position</td>
</tr>
<tr>
<td>03</td>
<td>TOKEN</td>
<td>word or term (compound)</td>
</tr>
<tr>
<td>04</td>
<td>POS_UNI</td>
<td>annotation: universal pos tag</td>
</tr>
<tr>
<td>05</td>
<td>POS</td>
<td>pos tag</td>
</tr>
<tr>
<td>06</td>
<td>NER</td>
<td>ner tag</td>
</tr>
<tr>
<td>07</td>
<td>COMPOUND</td>
<td>compound (0: no 1:yes)</td>
</tr>
<tr>
<td>08</td>
<td>COMPOUND_SIZE</td>
<td>size of compound</td>
</tr>
<tr>
<td>09</td>
<td>ID_TERM_TXT</td>
<td>id of the table of texts (internal control)</td>
</tr>
<tr>
<td>10</td>
<td>ID_TERM_IMG</td>
<td>id of the table of images (internal control)</td>
</tr>
<tr>
<td>11</td>
<td>TOT_IMG</td>
<td>total of resources (img) considered (top) = max between tot.retrieved and threshold</td>
</tr>
<tr>
<td>12</td>
<td>TOT_CV_LOC</td>
<td>number of resources classified as LOC (computer vision module)</td>
</tr>
<tr>
<td>13</td>
<td>TOT_CV_ORG</td>
<td>number of resources classified as ORG (computer vision module)</td>
</tr>
<tr>
<td>14</td>
<td>TOT_CV_PER</td>
<td>number of resources classified as PER (computer vision module)</td>
</tr>
<tr>
<td>15</td>
<td>DIST_CV_I</td>
<td>distance (subtraction) between 2 max values of (TOT_CV_LOC, TOT_CV_ORG and TOT_CV_PER) (computer vision module)</td>
</tr>
<tr>
<td>16</td>
<td>PL_CV_I</td>
<td>sum of all LOC classifiers (computer vision module)</td>
</tr>
<tr>
<td>17</td>
<td>NR_RESULTS_SE_IMG</td>
<td>number of images returned from search engine SE for a given term t</td>
</tr>
<tr>
<td>18</td>
<td>KLASS_PREDICT_CV</td>
<td>max out of 3cvs</td>
</tr>
<tr>
<td>19</td>
<td>TOT_RESULTS_TX</td>
<td>total of resources (snippets of text) considered (top) = max between tot.retrieved and threshold</td>
</tr>
<tr>
<td>20</td>
<td>TOT_TX_LOC</td>
<td>number of resources classified as LOC (text classification module)</td>
</tr>
<tr>
<td>21</td>
<td>TOT_TX_ORG</td>
<td>number of resources classified as ORG (text classification module)</td>
</tr>
<tr>
<td>22</td>
<td>TOT_TX_PER</td>
<td>number of resources classified as PER (text classification module)</td>
</tr>
<tr>
<td>23</td>
<td>TOT_ERR_TRANS</td>
<td>number of exceptions raised by the translation module (text classification module)</td>
</tr>
<tr>
<td>24</td>
<td>DIST_TX_I</td>
<td>similar to DIST_CV_I (text classification module)</td>
</tr>
<tr>
<td>25</td>
<td>NR_RESULTS_SE_TX</td>
<td>number of web sites returned from search engine SE for a given term t</td>
</tr>
<tr>
<td>26</td>
<td>TX_KLASS</td>
<td>max out of 3txts</td>
</tr>
<tr>
<td>27</td>
<td>INDEX_START_TERM</td>
<td>the position (1st char) of a given term at sentence level</td>
</tr>
<tr>
<td>28</td>
<td>FEATURE_EXTRA_02</td>
<td>empty</td>
</tr>
<tr>
<td>29</td>
<td>FEATURE_EXTRA_03</td>
<td>empty</td>
</tr>
<tr>
<td>30</td>
<td>FEATURE_EXTRA_04</td>
<td>empty</td>
</tr>
<tr>
<td>31</td>
<td>FEATURE_EXTRA_05</td>
<td>empty</td>
</tr>
<tr>
<td>32</td>
<td>FEATURE_EXTRA_06</td>
<td>empty</td>
</tr>
<tr>
<td>33</td>
<td>FEATURE_EXTRA_07</td>
<td>empty</td>
</tr>
<tr>
<td>34</td>
<td>FEATURE_EXTRA_08</td>
<td>empty</td>
</tr>
<tr>
<td>35</td>
<td>FEATURE_EXTRA_09</td>
<td>empty</td>
</tr>
<tr>
<td>36</td>
<td>KLASS_01</td>
<td>CV_KLASS if DIST_CV_I >= self.config.models_distance_theta else TX_KLASS if DIST_TX_I >= self.config.models_distance_theta else 'NONE')</td>
</tr>
<tr>
<td>37</td>
<td>KLASS_02</td>
<td>CV_KLASS if DIST_CV_I >= self.config.models_distance_theta+1 else TX_KLASS if DIST_TX_I >= self.config.models_distance_theta+1 else 'NONE')</td>
</tr>
<tr>
<td>38</td>
<td>KLASS_03</td>
<td>CV_KLASS if DIST_CV_I >= self.config.models_distance_theta+2 else TX_KLASS if DIST_TX_I >= self.config.models_distance_theta+2 else 'NONE')</td>
</tr>
<tr>
<td>39</td>
<td>KLASS_04</td>
<td>Compound Update [based on KLASS_1]</td>
</tr>
<tr>
<td>40</td>
<td>KLASS_05</td>
<td>RandomForest Model</td>
</tr>
<tr>
<td>41</td>
<td>KLASS_06</td>
<td>empty</td>
</tr>
<tr>
<td>42</td>
<td>KLASS_07</td>
<td>empty</td>
</tr>
<tr>
<td>43</td>
<td>KLASS_08</td>
<td>empty</td>
</tr>
<tr>
<td>44</td>
<td>KLASS_09</td>
<td>empty</td>
</tr>
<tr>
<td>45</td>
<td>KLASS_10</td>
<td>empty</td>
</tr>
<tr>
<td>46</td>
<td>KLASS_11</td>
<td>empty</td>
</tr>
<tr>
<td>47</td>
<td>KLASS_12</td>
<td>empty</td>
</tr>
<tr>
<td>48</td>
<td>KLASS_13</td>
<td>empty</td>
</tr>
<tr>
<td>49</td>
<td>KLASS_14</td>
<td>empty</td>
</tr>
<tr>
<td>50</td>
<td>KLASS_15</td>
<td>empty</td>
</tr>
<tr>
<td>51</td>
<td>KLASS_REAL</td>
<td>NER target</td>
</tr>
</table>
</head>
<body>
</body>
</html>