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+provide+expressive+and+structured+semantic+graphs+that+act+as+intermediates+that+simplify+downstream+NLP+tasks.+However%252C+the+instruction-following+capability+of+large+language+models+(LLMs)+offers+a+shortcut+to+effectively+solve+NLP+tasks%252C+questioning+the+utility+of+semantic+graphs.+Meanwhile%252C+recent+work+has+also+shown+the+difficulty+of+using+meaning+representations+merely+as+a+helpful+auxiliary+for+LLMs.+We+revisit+the+position+of+semantic+graphs+in+syntactic+simplification%252C+the+task+of+simplifying+sentence+structures+while+preserving+their+meaning%252C+which+requires+semantic+understanding%252C+and+evaluate+it+on+a+new+complex+and+natural+dataset.+The+AMR-based+method+that+we+propose%252C+AMRS%2524%5e3%2524%252C+demonstrates+that+state-of-the-art+meaning+representations+can+lead+to+easy-to-implement+simplification+methods+with+competitive+performance+and+unique+advantages+in+cost%252C+interpretability%252C+and+generalization.+With+AMRS%2524%5e3%2524+as+an+anchor%252C+we+discover+that+syntactic+simplification+is+a+task+where+semantic+graphs+are+helpful+in+LLM+prompting.+We+propose+AMRCoC+prompting+that+guides+LLMs+to+emulate+graph+algorithms+for+explicit+symbolic+reasoning+on+AMR+graphs%252C+and+show+its+potential+for+improving+LLM+on+semantic-centered+tasks+like+syntactic+simplification.&cdnurl=https%3a%2f%2fth.bing.com%2fth%2fid%2fR.cc17b618f49a750aa71a4b281c07a6de%3frik%3dnAFI6TyWHZXMWQ%26pid%3dImgRaw%26r%3d0&exph=630&expw=1200&q=Semantic+Computation+Examples&FORM=IRPRST&ck=C43D7E94045EA5C5C0E0A733FC022416&selectedIndex=31&itb=0)
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