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 ...

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: Language modeling is the task of assigning a probability distribution over sequences of words that matches the distribution of a language. A language model is required to represent the text ...

Add a description, image, and links to the word-embedding topic page so that developers can more easily learn about it.

Abstract: In this study, we focus on conjunctions between sentences to estimate the semantic relations between sentences. As a method for estimating the types of hidden conjunctions, we propose a ...

Protein ubiquitylation is an important posttranslational modification (PTM), which is involved in diverse biological processes and plays an essential role in the regulation of physiological mechanisms ...

The Distributed Word Embedding tool is a parallelization of the Word2Vec algorithm on top of our DMTK parameter server. It provides an efficient "scaling to industry size" solution for word embedding.