Week 13

DanAnastasyev · Dec 17, 2018 · cf1665d · cf1665d
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@@ -176,3 +176,17 @@ Goal-orientied dialogue systems. Implemention of the multi-task model: intent cl
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+### Week 13: *Dialogue Systems: Part 2*  
+General conversation dialogue systems and DSSMs. Implementation of question answering model on SQuAD dataset and chit-chat model on OpenSubtitles dataset.
+
+<table class="tfo-notebook-buttons" align="left">
+<td>
+	<a target="_blank"  href="https://colab.research.google.com/drive/19kQoxDWhv9VOfXxZCHcB39qIM30gziCR">
+    <img src="https://www.tensorflow.org/images/colab_logo_32px.png" />Run in Google Colab</a>  
+</td>
+<td>
+	<a target="_blank"  href="https://github.com/DanAnastasyev/DeepNLP-Course/blob/master/Week%2013/Week_13_Dialogue_Systems_(Part_2).ipynb">
+	<img width=32px src="https://www.tensorflow.org/images/GitHub-Mark-32px.png" />View source on GitHub</a>
+</td>
+</table>
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diff --git a/Week 13/README.md b/Week 13/README.md
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+# Разбалловка
+
+- Задания, сделанные на семинаре: 5 баллов
+- Реализовать hard negatives mining: +2 балла
+- Реализовать semi-hard negatives mining: +1.5 балла
+- Реализовать болталку: +3 балла