This repo contains a trained metric, ImpScore, which is trained on 112,580 sentence pairs using contrastive learning. It calculates an implicitness score ranging from [0, 2] for an English input sentence. A higher score indicates greater implicitness. Additionally, it can calculate the pragmatic distance between two input sentences, with the distance value ranging from [0, ∞). A higher distance means the two sentences differ more in their intended meaning.
The training code for this metric is available on Github: https://github.com/audreycs/ImpScore
Please see https://github.com/audreycs/ImpScore for usage.
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