This paper presents an analysis of annotation using an automatic
pre-ann...
We present DaMuEL, a large Multilingual Dataset for Entity Linking conta...
We describe the winning submission to the CRAC 2022 Shared Task on
Multi...
We propose a character-based nonautoregressive GEC approach, with
automa...
We present the winning entry to the Multilingual Lexical Normalization
(...
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...
Based on the electric vehicle (EV) arrival times and the duration of EV
...
We present PERIN, a novel permutation-invariant approach to sentence-to-...
Reading comprehension is a well studied task, with huge training dataset...
We present our contribution to the EvaLatin shared task, which is the fi...
We present a richly annotated and genre-diversified language resource, t...
Here, we develop a data-centric approach enabling to analyse which
activ...
We present a system description of our contribution to the CoNLL 2019 sh...
The availability of charging infrastructure is essential for large-scale...
Grammatical error correction in English is a long studied problem with m...
In this paper, we describe our systems submitted to the Building Educati...
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...
We present LemmaTag, a featureless recurrent neural network architecture...