Tag word embeddings
Word embeddings have revolutionized various natural language processing tasks by transforming words into dense vector representations, capturing the semantic and syntactic relationships between them. A recent research article titled “Integrating Distributional Lexical Contrast into Word Embeddings for Antonym-Synonym Distinction” by… Continue Reading →
Understanding the intricacies of language has always been a challenging task for machines. However, recent advancements in Natural Language Processing (NLP) have brought us closer to a breakthrough. In 2023, a significant research paper titled “Distributed Representations of Words and… Continue Reading →