What are some applications of word embeddings in physical sciences and engineering?

Jan 9, 2025 ... Word embeddings are widely used in NLP and LLM systems, yet they have the potential to encode harmful biases against demographic groups ... May 27, 2019 ... ... Embeddings in NLP & beyond [YouTube] https://www.infoq.com/presentations/nlp-word-embedding/ [infoQ] In this video, I introduced word embeddings ... Word embeddings are a way of representing words as vectors in a multi-dimensional space, where the distance and direction between vectors reflect the ... Oct 4, 2019 ... Natural Language Processing (NLP) is one of the key components in Artificial Intelligence (AI), which carries the ability to make machines ... Feb 5, 2025 ... Word embeddings (also known as word vectors) are the vectors that are created to represent words — and their context — or the relationships ... Oct 2, 2020 ... Here I am going to walk you through all type of embeddings, what are pros and cons and when to use which embedding. Apr 10, 2024 ... Word embedding is a technique used in NLP to map words or phrases to vectors of real numbers. This mapping is done in such a way that words with ... Jul 4, 2019 ... Hello, I read quite a lot about the importance of word embedding in the context of NLP, but i've never seen the following issue beeing ... Jun 30, 2024 ... Word embedding is a technique that represents words with meaningful numbers. It represents words or phrases in vector space with several ... Jul 8, 2019 ... Intrinsic evaluators test the quality of a representation independent of specific natural language processing tasks while extrinsic evaluators ...