Update README.md

README.md

@@ -52,7 +52,8 @@ Open science has significantly lowered the barriers to scientific papers.
 However, reachable research does not mean accessible knowledge. Scientific papers are usually replete with jargon and hard to read. A lay audience would rather trust little stories on social media than read scientific papers. They are not to blame, we human like stories.
 So why do not we "translate" arcane scientific abstracts into accessible, simpler, and relevant scientific stories?
 Some renowned journals have already taken accessibility into consideration. For example, PNAS asks authors to submit Significance Statements targeting "an undergraduate-educated scientist." Science also includes an editor abstract for a quick dive.
-We propose to rewrite scientific abstracts into understandable scientific stories using AI.
+
+We therefore propose to *rewrite scientific abstracts into understandable scientific stories using AI*.
 To this end, we introduce a new corpus comprising PNAS abstract-significance pairs.
 We finetune an encoder-decoder Transformer model (a variant of Flan-T5) with the corpus.
 Our baseline model (SAS-baseline) shows promising capacity in simplifying and summarizing scientific abstracts.