Using a single tokenizer ensures consistency throughout the system. Once tokenization is complete, the embedding model converts each token into a numerical vector representation, capturing its semantic meaning within the context of the surrounding text. Pre-trained embedding models, either word ...
Solr, therefore, achieves faster responses because it searches for keywords in the index instead of scanning the text directly. Solr uses fields to index a document. However, before being added to the index, data goes through a field analyzer, where Solr uses char filters, tokenizers, and tok...
Watson Discovery updates can include new features, bug fixes, and security updates. Updates are listed in reverse chronological order so that the latest release is at the beginning of the topic.
Since TWMLE uses the same document collection as USMLE for solving problems, we translate the questions in TWMLE from traditional Chinese to English via Google Translation and then use the same models as USMLE. Max-out: We use spaCy as the English tokenizer and HanLP as the Chinese tokenizer...