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SemanticChange Detection
.+In+short%252C+generated+definitions+are+used+as+%60senses%27%252C+and+the+change+score+of+a+target+word+is+retrieved+by+comparing+their+distributions+in+two+time+periods+under+comparison.+On+the+material+of+five+datasets+and+three+languages%252C+we+show+that+generated+definitions+are+indeed+specific+and+general+enough+to+convey+a+signal+sufficient+to+rank+sets+of+words+by+the+degree+of+their+semantic+change+over+time.+Our+approach+is+on+par+with+or+outperforms+prior+non-supervised+sense-based+LSCD+methods.+At+the+same+time%252C+it+preserves+interpretability+and+allows+to+inspect+the+reasons+behind+a+specific+shift+in+terms+of+discrete+definitions-as-senses.+This+is+another+step+in+the+direction+of+explainable+semantic+change+modeling.&cdnurl=https%3a%2f%2fth.bing.com%2fth%2fid%2fR.04e0026d9f1dc810f4ff61a9daa5e83f%3frik%3dj6X8%252blfY1ryn%252bg%26pid%3dImgRaw%26r%3d0&exph=630&expw=1200&q=Semantic+Change+Detection&FORM=IRPRST&ck=F802B7ECFCFA8C5C032E7DDD4080C4EA&selectedIndex=25&itb=0)
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