In this project, we have investigated the use of advanced machine learni...
We describe the winning submission to the CRAC 2022 Shared Task on
Multi...
We propose a character-based nonautoregressive GEC approach, with
automa...
Sensitivity of deep-neural models to input noise is known to be a challe...
We propose a new architecture for diacritics restoration based on
contex...
We present RobeCzech, a monolingual RoBERTa language representation mode...
We present our contribution to the EvaLatin shared task, which is the fi...
We present a system description of our contribution to the CoNLL 2019 sh...
Contextualized embeddings, which capture appropriate word meaning depend...
We present an extensive evaluation of three recently proposed methods fo...
We present our contribution to the SIGMORPHON 2019 Shared Task:
Crosslin...
We propose two neural network architectures for nested named entity
reco...