Turkish is one of the most spoken languages in the world; however, it is still among the low-
resource languages. Wide us of this language on social media platforms such as Twitter …

This paper presents a comprehensive survey of corpora and lexical resources available for
Turkish. We review a broad range of resources, focusing on the ones that are publicly …

This study introduces and evaluates tiny, mini, small, and medium-sized uncased Turkish
BERT models, aiming to bridge the research gap in less-resourced languages. We trained …

Named Entity Recognition (NER) is a fundamental task to extract key information from texts,
but annotated resources are scarce for dialects. This paper introduces the first dialectal NER …

Automatic narrative text analysis is gaining traction as artificial intelligence-based
computational linguistic tools such as named entity recognition systems and natural …

NLP applications are widely used in everyday life: web search, grammar correction,
machine translation, chatbots/virtual assistants etc,. They are commonly available on our …

Identifying the character entities correctly in a story becomes extremely challenging since an
entity can refer to a proper noun, a phrase, or a particular definition. This study proposes …

In Natural Language Processing (NLP) and Information Extraction, Named Entity
Recognition (NER) is a significant challenge. NER involves identifying entities like Person …

Named Entity Recognition (NER) is a core component in extraction information that aims to
detect and classify named entities, such as person and location names. Applications of this …