Recurrent Neural Networks (RNNs) and transformers are deep learning models that have
achieved remarkable success in several Natural Language Processing (NLP) tasks since …

Public institutions, such as law enforcement agencies or health centers, have a vast volume
of unstructured text documents, eg police reports. Currently, before this data can be shared …

Studies on the Named Entity Recognition (NER) task have shown outstanding results that
reach human parity on input texts with correct text formattings, such as with proper …

Construction noise is an occupational noise that is potentially harmful, and it usually
originates from machinery in construction sites. The impact of construction noise on the …

Due to its wide applicability, natural language processing (NLP) has attracted significant
research efforts to the machine learning and deep learning research community. Despite …

Question classification has an important role in Question Answering systems by determining
the expectation for the correct answer to the question. The question classification system …

In this paper, we explore the application of the Bidirectional Encoder Representations from
Transformers (BERT) model for Named Entity Recognition (NER) in the Albanian language …