Graphic design is an effective language for visual communication. Using
...
In the context of flexible manufacturing systems that are required to pr...
Cross-lingual named entity recognition (NER) aims to train an NER system...
Self-supervised representation learning has proved to be a valuable comp...
Pre-trained language models (PLMs) have shown their effectiveness in mul...
This paper presents ReasonFormer, a unified reasoning framework for mirr...
Row completion is the task of augmenting a given table of text and numbe...
Few-shot named entity recognition (NER) systems aim at recognizing
novel...
Existing state of the art neural entity linking models employ attention-...
For languages with no annotated resources, transferring knowledge from
r...
Distant supervision for relation extraction heavily suffers from the wro...
Recent neural models for data-to-text generation are mostly based on
dat...
Recent neural models for data-to-document generation have achieved remar...