Existing literature on Thai NLP often focuses on formally written texts with near-perfect
spellings and boundaries between words or sentences. Such assumptions, however, do not …

Abstract Named Entity Recognition (NER) is an information extraction task that deals with
the identification and tagging of generic named entities and/or domain-specific named …

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

Named Entity Recognition (NER) is an important task in many NLP pipelines. It has become
especially important for knowledge bases that power many of the nowadays information …

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 …

News retrieval systems facilitate the process of quickly learning about events or stories
reported in various online news providers. The traditional approach involves clustering …

In this paper, we describe the Machine Learning methods for Natural Language Processing
tasks used in low-resource languages such as Albanian language. The Albanian language …

Abstract Natural Language Processing (also known as NLP) is a branch of study that has
become more significant in the modern day. The natural language processing (NLP) …

The large amount of data generated in social media platforms has unavoidably become an
important source of understanding human opinions and behaviors. Models of sentiment …