In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.

Since pre-trained models operate on subword level, we need to estimate subword translation probabilities. For the purpose of evaluating the contextual representations learned by our model, we do not use part-of-speech tags. Contextualized representations are directly fed into Deep-Biaffine layers to predict arc and label scores. Table TABREF34 presents the Labeled Attachment Scores (LAS) for zero-shot dependency parsing.
Question: What metrics are used for evaluation?
translation probabilities Labeled Attachment Scores (LAS)