Turkishbertweet: Fast and reliable large language model for social media analysis
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 …
resource languages. Wide us of this language on social media platforms such as Twitter …
Resources for Turkish natural language processing: A critical survey
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 …
Turkish. We review a broad range of resources, focusing on the ones that are publicly …
Developing and evaluating tiny to medium-sized turkish bert models
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 …
BERT models, aiming to bridge the research gap in less-resourced languages. We trained …
Sebastian, Basti, Wastl?! Recognizing Named Entities in Bavarian Dialectal Data
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 …
but annotated resources are scarce for dialects. This paper introduces the first dialectal NER …
[HTML][HTML] Balinese Story Texts Dataset for Narrative Text Analyses
Automatic narrative text analysis is gaining traction as artificial intelligence-based
computational linguistic tools such as named entity recognition systems and natural …
computational linguistic tools such as named entity recognition systems and natural …
[PDF][PDF] Ethics in nlp: Bias and dual use
M Strube, S Pan - Science, 2023 - cl.uni-heidelberg.de
NLP applications are widely used in everyday life: web search, grammar correction,
machine translation, chatbots/virtual assistants etc,. They are commonly available on our …
machine translation, chatbots/virtual assistants etc,. They are commonly available on our …
Character Entity Recognition Using Hybrid Binary-Particle Swarm Optimization and Conditional Random Field on Balinese Folklore Text
IMS Bimantara, NA Sanjaya ER… - … Conference on Information …, 2023 - Springer
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 …
entity can refer to a proper noun, a phrase, or a particular definition. This study proposes …
Named entity recognition and explainability analysis on Turkish sports news texts
YP Kılıç - 2023 - open.metu.edu.tr
In Natural Language Processing (NLP) and Information Extraction, Named Entity
Recognition (NER) is a significant challenge. NER involves identifying entities like Person …
Recognition (NER) is a significant challenge. NER involves identifying entities like Person …
Enhancing named entity recognition in Turkish by ıntegrating external knowledge and extra layers into transformer-based models
B Çarık - 2022 - research.sabanciuniv.edu
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 …
detect and classify named entities, such as person and location names. Applications of this …