Bert2D is a novel transformer-based model that builds upon the BertModel architecture by introducing a two-dimensional word embedding system. This enhancement is specifically designed to improve ...

ABSTRACT: In the field of equipment support, the method of generating equipment support sentence vectors based on word vectors is simple and effective, but it ignores the order and dependency ...

Next to standard WordEmbeddings and CharacterEmbeddings, we also provide classes for BERT, ELMo and Flair embeddings. These embeddings enable you to train truly state-of-the-art NLP models. 'ar-X' ...

Abstract: In the rapidly evolving domain of computational linguistics over the past decade, researchers have been dedicated to uncovering effective mechanisms for translating words into computer ...

ABSTRACT: Hate speech on social media is on the rise globally. It is to be accounted for several offline violence including the massacres of the Rohyinga in Myanmar, mass shootings and hate crimes in ...

Traditional monolingual word embedding models transform words into high-dimensional vectors which represent semantics relations between words as relationships between vectors in the high-dimensional ...

Abstract: The word Sarcasm related to other terms such as derision, irony, mockery, ridicule, scorn, contempt, bitterness, etc. is a challenging task in the area of Natural Language Processing (NLP).