We present the task of PreQuEL, Pre-(Quality-Estimation) Learning. A PreQuEL system
predicts how well a given sentence will be translated, without recourse to the actual …

The introduction of pre-trained transformer-based contextualized word embeddings has led
to considerable improvements in the accuracy of graph-based parsers for frameworks such …

This paper presents the system used in our submission to the IWPT 2021 Shared Task. This
year the official evaluation metrics was ELAS, therefore dependency parsing might have …

We present our contribution to the IWPT 2021 shared task on parsing into enhanced
Universal Dependencies. Our main system component is a hybrid tree-graph parser that …

In this paper, we address the representation of coordinate constructions in Enhanced
Universal Dependencies (UD), where relevant dependency links are propagated from …

This paper presents our multilingual dependency parsing system as used in the IWPT 2021
Shared Task on Parsing into Enhanced Universal Dependencies. Our system consists of an …

Recent years have witnessed the impressive progress in Neural Dependency Parsing.
According to the different factorization approaches to the graph joint probabilities, existing …

Multilingual dependency parsing encapsulates any attempt to parse multiple languages. It
can involve parsing multiple languages in isolation (poly-monolingual), leveraging training …

Semantic dependency parse is the dependency graph of a sentence. This graph shows the
grammatical dependencies between words in a sentence clearer than the dependency …

We describe the DCU-EPFL submission to the IWPT 2021 Shared Task on Parsing into
Enhanced Universal Dependencies. The task involves parsing Enhanced UD graphs, which …