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Humans have a pretty good sense of scale, or reasonable ranges of these numeric attributes, of different objects, but do pre-trained language representations? Although pre-trained Language Models (LMs) like BERT have shown a remarkable ability to learn all kinds of knowledge, including factual knowledge, it remains unclear whether their representations can capture these types of numeric attributes from text alone without explicit training data. In our recent paper, we measure the amount of scale information that is captured in several kinds of pre-trained text representations and show that, although generally a significant amount of such information is captured, there is

Xikun zhangYanai elazarDeepak ramachandranIan tenneyDan rothLanguage modelsMulti class classifierMean squared errorHearth moverAnimal massesAmazon priceAmazon price datasetதீபக் ராமச்சந்திரன்ஈயந் டென்னிடான் ரோத்மொழி மாதிரிகள்