Each QR-code contains the basic data on a person. It can simply be their names and e-mail addresses but can be extended to cover a complete business card including telephone numbers, faxes, hyperlinks and business address. The mail merge will include these elements: 1. Clear text: the name, e-mail and anything you want to put…
In natural language understanding, there is a hierarchy of lenses through which we can extract meaning - from words to sentences to paragraphs to documents. At the document level, one of the most useful ways to understand text is by analyzing its topics.
I made an introductory talk on word embeddings in the past and this write-up is an extended version of the part about philosophical ideas behind word vectors.
Longer documents, such as those with several chapters or tables and figures, must follow a consistent and standard format. These PDFs describe how to do this in Microsoft Word.
Choose two documents (Word, PDF, PowerPoint Files). See the changes side-by-side.
Für vertrauliche Dokumente gibt es eine (kostenpflichtige) Offline-Version zum Download.
ConceptNet Numberbatch consists of state-of-the-art semantic vectors (also known as word embeddings) that can be used directly as a representation of word meanings or as a starting point for further machine learning.