Spearman

In this paper we present our systems for the STS task. Our systems are all based on a simple process of identifying the components that correspond between two sentences. Cur- …...

This paper presents our metric (UoW- LSTM) submitted in the WMT-15 met- rics task. Many state-of-the-art Machine Translation (MT) evaluation metrics are complex, involve extensive external re- sources (e.g. for …...

Many state-of-the-art Machine Translation (MT) evaluation metrics are complex, in- volve extensive external resources (e.g. for paraphrasing) and require tuning to achieve best results. We present a simple alternative approach …...

AbstractWe present OSMAN (Open Source Metric for Measuring Arabic Narratives) - a novel open source Arabic readability metric and tool. It allows researchers to calculate readability for Arabic text with …...

AbstractModern Natural Language Processing relies on the availability of annotated corpora for training and evaluating models. Such resources are scarce, especially for specialized domains in languages other than English. In …...

AbstractWe examine the effects of contrastive visual semantic pretraining by comparing the geometry and semantic properties of contextualized English language representations formed by GPT-2 and CLIP, a zero-shot multimodal image …...