Update README.md

README.md

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 ---
 language: en
 tags:
-- Clsssification
+- Summarization
 license: apache-2.0
 datasets:
 - Opinosis
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 ## Model description
 
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+This Automatic Text Summarizarion (ATS) Model was developed to be applied to the Research Financing Products Portfolio (FPP) 
+of the Brazilian Ministry of Science, Technology and Innovation. It was produced in parallel with the writing of a Sistematic
+Literature Review paper, in which there is a discussion concerning many summarization methods, datasets, and evaluators as well
+as a brief overview of the nature of the task itself and the state-of-the-art of its implementation.
+
+The input of the model can be either a single text or a csv file containing multiple texts (in the English language) and its output are the summarized texts
+and their evaluation metrics. As an optional (although recommended) input, the model accepts gold-standard summaries for the texts,
+i.e., human written (or extracted) summaries of the texts which are considered to be good representations of their contents. Evaluators
+like ROUGE, which in its many variations is the most used to perform the task, require gold-standard summaries as inputs. There are, however,
+Evaluation Methods which do not deppend on the existence of a golden-summary (e.g. the cosine similarity method, the Kullback Leibler Divergence method)
+and this is why an evaluation can be made even when only the text is taken as an input to the model.
+
+
+
+
 
 ![architeru](https://github.com/marcosdib/S2Query/Classification_Architecture_model.png)