Update README.md

README.md

@@ -22,12 +22,12 @@ Disclaimer:
 
 ## According to the abstract of the literature review,
 
-We provide a literature review about Automatic Text Summarization systems. We consider a citation-based approach. We start with some popular and well-known 
-papers that we have in hand about each topic we want to cover and we have tracked the "backward citations" (papers that are cited by the set of papers we 
-knew beforehand) and the "forward citations" (newer papers that cite the set of papers we knew beforehand). In order to organize the different methods, we 
-present the diverse approaches to ATS guided by the mechanisms they use to generate a summary. Besides presenting the methods, we also present an extensive 
-review of the datasets available for summarization tasks and the methods used to evaluate the quality of the summaries.  Finally, we present an empirical 
-exploration of these methods using the CNN Corpus dataset that provides golden summaries for extractive and abstractive methods.
+- We provide a literature review about Automatic Text Summarization systems. We consider a citation-based approach. We start with some popular and well-known 
+  papers that we have in hand about each topic we want to cover and we have tracked the "backward citations" (papers that are cited by the set of papers we 
+  knew beforehand) and the "forward citations" (newer papers that cite the set of papers we knew beforehand). In order to organize the different methods, we 
+  present the diverse approaches to ATS guided by the mechanisms they use to generate a summary. Besides presenting the methods, we also present an extensive 
+  review of the datasets available for summarization tasks and the methods used to evaluate the quality of the summaries.  Finally, we present an empirical 
+  exploration of these methods using the CNN Corpus dataset that provides golden summaries for extractive and abstractive methods.
 
 This model was an end-result of the above mentioned literature review paper, from which the best solution was drawn to be applied to the problem of 
 summarizing texts extracted from the Research Financing Products Portfolio (FPP) of the Brazilian Ministry of Science, Technology, and Innovation (MCTI).