Named Entity Recognition in User-generated Text (English Twitter): A Systematic Literature Review
Named Entity Recognition (NER) in social media has received much research attention in
the field of natural language processing (NLP) and information extraction. Research on this …
the field of natural language processing (NLP) and information extraction. Research on this …
Question answering as programming for solving time-sensitive questions
Question answering plays a pivotal role in human daily life because it involves our
acquisition of knowledge about the world. However, due to the dynamic and ever-changing …
acquisition of knowledge about the world. However, due to the dynamic and ever-changing …
Does Prompt Engineering Help Turkish Named Entity Recognition?
AS Pektezol, AB Ulugergerli, V Öztoklu… - 2024 9th International …, 2024 - ieeexplore.ieee.org
The extraction of entity mentions in a text (named entity recognition) has been traditionally
formulated as a sequence labeling problem. In recent years, this approach has evolved from …
formulated as a sequence labeling problem. In recent years, this approach has evolved from …
SpanMRC: Query with Entity Length for MRC-Based Named Entity Recognition
H Wu, X Li, P Liu, L Wang, D Yang, A Zhou - International Conference on …, 2024 - Springer
The task of named entity recognition (NER) is to identify predefined types of entities from the
given text. When entities overlap, this problem is referred to as nested named entity …
given text. When entities overlap, this problem is referred to as nested named entity …