Update README.md

README.md

@@ -57,11 +57,34 @@ model are the already existing and vastly applied BART-Large CNN, Pegasus-XSUM a
 the Sumy Python Library and include SumyRandom, SumyLuhn, SumyLsa, SumyLexRank, SumyTextRank, SumySumBasic, SumyKL and SumyReduction. Each of the
 methods used for text summarization will be described indvidually in the following sections.
 
-| Model | Params |
-|:-----:|:------:|
 
 ![architeru](https://github.com/marcosdib/S2Query/Classification_Architecture_model.png)
 
+## Methods
+
+# SumyRandom
+
+# Sumy Luhn
+
+# SumyLsa
+
+# SumyLexRank 
+
+# SumyTextRank
+
+# SumySumBasic
+
+# SumyKL
+
+# SumyReduction
+
+# BART-Large CNN
+
+# Pegasus-XSUM
+
+# mT5 Multilingual XLSUM
+
+
 ## Model variations
 
 With the motivation to increase accuracy obtained with baseline implementation, we implemented a transfer learning