Word Embedding (Python) is a technique to convert words into a vector representation. Computers cannot directly understand words/text as they only deal with numbers. So we need to convert words into ...

Abstract: Word embedding has become an essential means for text-based information retrieval. Typically, word embeddings are learned from large quantities of general and unstructured text data. However ...

Embedding a document in Microsoft Word allows you to insert another file—like a Word document, Excel spreadsheet, or PDF—directly into your current Word file. This is useful when you want to include ...

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 ...

Recently, NPR’s "It’s Been A Minute" host Brittany Luse noticed the resurgence of a word online: the "R-word." It's something she thought had previously been banished from discourse. But with somewhat ...

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' ...

While Large Language Models (LLMs) like GPT-3 and GPT-4 have quickly become synonymous with AI, LLM mass deployments in both training and inference applications have, to date, been predominately cloud ...

Traditional SEO tactics alone aren’t enough to keep ecommerce sites competitive in today’s AI-driven search landscape. To improve search visibility and connect with relevant queries, ecommerce brands ...

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 ...

Copilot can now help organize your Outlook inbox, perform advanced analytics in Excel, and build better PowerPoint decks. Copilot can now help organize your Outlook inbox, perform advanced analytics ...