From eecbba1b4cd6832c03548d6a39f286a3dde260cb Mon Sep 17 00:00:00 2001
From: Michael Heck <michael.heck@hhu.de>
Date: Thu, 19 Nov 2020 09:35:10 +0100
Subject: [PATCH] Update README.md

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 README.md | 9 +++++++--
 1 file changed, 7 insertions(+), 2 deletions(-)

diff --git a/README.md b/README.md
index 97fc2cb..afb3bb3 100644
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+## *** For readers of "Out-of-Task Training for Dialog State Tracking Models" ***
+
+The code update to cover the content of the paper (https://arxiv.org/abs/2011.09379) will be available here after our presentation at COLING 2020
+
 ## Introduction
 
 TripPy is a new approach to dialogue state tracking (DST) which makes use of various copy mechanisms to fill slots with values. Our model has no need to maintain a list of candidate values. Instead, all values are extracted from the dialog context on-the-fly.
@@ -27,8 +31,9 @@ With a sequence length of 180, you should expect the following average JGA:
 
 ## Requirements
 
-- transformers
-- tensorboardX
+- torch (tested: 1.4.0)
+- transformers (tested: 2.0)
+- tensorboardX (tested: 2.9.1)
 
 ## Citation
 
-- 
GitLab