Ensuring proper punctuation and letter casing is a key pre-processing step towards applying
complex natural language processing algorithms. This is especially significant for textual …

Although modern named entity recognition (NER) systems show impressive performance on
standard datasets, they perform poorly when presented with noisy data. In particular …

When applying automated speech recognition (ASR) for Belgian Dutch, the output consists
of an unsegmented stream of words, without any punctuation. A next step is to perform …

Large-scale clinical data is invaluable to driving many computational scientific advances
today. However, understandable concerns regarding patient privacy hinder the open …

With the increasing availability of digitized resources of historical documents, interest in
effective natural language processing (NLP) for these documents is on the rise. However …

Webtoon is a type of digital comics read online where readers can leave comments to share
their thoughts on the story. While it has experienced a surge in popularity internationally …

Capitalization normalization (truecasing) is the task of restoring the correct case (uppercase
or lowercase) of noisy text. We propose a fast, accurate and compact two-level hierarchical …

Entity extraction in the natural language processing research field is still a widely
researched topic. It can be a data source for the next NLP stage, such as text summarization …

This paper investigates various Transformer architectures on the WikiReading Information
Extraction and Machine Reading Comprehension dataset. The proposed dual-source model …

For those languages which use it, capitalization is an important signal for the fundamental
NLP tasks of Named Entity Recognition (NER) and Part of Speech (POS) tagging. In fact, it is …