# Using Loaders **URL:** \ **Category:** Uncategorized\ **Tags:** usage, solved\ **Created:** [February 25, 2018, 3:02pm UTC](https://support.prodi.gy/t/using-loaders/340 "2018-02-25T15:02:45Z")\ **Posts on this page:** 1\ **Showing post:** 8
**Author:** ![honnibal](https://sea2.discourse-cdn.com/flex020/user_avatar/support.prodi.gy/honnibal/32/35_2.png) [@honnibal](https://support.prodi.gy/u/honnibal)\ **Post date:** [November 12, 2018, 3:19pm UTC](https://support.prodi.gy/t/using-loaders/340/8 "2018-11-12T15:19:48Z")
It sounds like you might not have defined your patterns file correctly, or alternatively, if you're using terms.teach, you might need to change how the vectors are trained. These threads might be useful: > [@Train a new NER entity with multi-word tokens](https://support.prodi.gy/t/train-a-new-ner-entity-with-multi-word-tokens/227): > > I’m not sure if I’m dealing with a bug or if I’m doing something wrong. But also if it’s the latter case you might be interested in why I’m doing this, so I’m going to write a quite verbose message here that will let you follow my thought process. My goal is to train a new NER entity with the name DISASTER which will recognize for example floods, storms and volcano eruptions. Yesterday I followed your video in which you train a DRUG entity and got the results I wanted in the end. But now I’m st… > [@ner.teach does not suggest multiple tokens](https://support.prodi.gy/t/ner-teach-does-not-suggest-multiple-tokens/884): > > Hi, this question is very closely related to [How to score incompletely highlighted entities?](https://support.prodi.gy/t/how-to-score-incompletely-highlighted-entities/625). I am trying to learn a new entity. The dataset looks like so: {"text": " The notes will mature on August 15, 2018, and will be paid in U.S. dollars against presentation and surrender thereof at the corporate trust office of the Trustee. However, we may redeem the notes at our option prior to that date. See \"—Optional Redemption.\" The notes will not be entitled to the benefit of, and are not su… > [@Two word entities](https://support.prodi.gy/t/two-word-entities/912): > > Hi, Does prodigy catch/train two word entities (new label) like some skincare brands ‘Estee Lauder’ , ‘Bobbi brown’ , ‘SK-II’ ? Right now its catching ‘estee’ , ‘lauder’ , ‘SK’ , ‘II’ seperately. Finally, if you just want to label text in an uncomplicated way, remember that you can always use the `ner.manual` mode, which doesn't do anything fancy -- it just lets you highlight text, without having a model suggest things. --- _[View the full topic](https://support.prodi.gy/t/using-loaders/340)._