synonyms | JavaScript library to return the synonyms of the word | Machine Learning library

Did you apply synonym filter after adding your data into index?

If so, probably "India COUNTRY" phrase was indexed exactly as "India COUNTRY". When you sent a match query to index, your query was analyzed and sent as "INDIA COUNTRY" because you have uppercase filter anymore, it is matched because you are using match query, it is enough to match one of the words. "COUNTRY" word provide this.

But, when you sent one word query "india" then it is analyzed and converted to "INDIA" because of your uppercase filter but you do not have any matching word on your index. You just have a document contains "India COUNTRY".

My answer has a little bit assumption. I hope that it will be useful to understand your problem.

You should use res.json() to fetch data:

Use a for loop with good variable names so it's easy to keep track of what you are currently iterating over:

Okay, after days of searching, I finally figured it out. It did have something to do with the Jovo framework/setup and/or the scene parameter in the native response.

This is my component, in which I redirect new users to the HelpScene. This scene should show multiple cards in a list/collection/whatever on which the user can tap to receive more information about the application's features.

Regarding the updated question, this solution works on my machine.

Pytorch is explicitly differentiating between 1d interpolation (linear) and 2d interpolation (bilinear).

They differ in the the dimensionality of the input argument they are allowed to work on ( see here ). Specifically, linear works on 3D inputs and bilinear works on 4D inputs because the first two dimensions (mini-batch x channels) are understood not to be interpolated.

You can use the Tokenizer __call__ method to join both sentences when encoding them.

In case you're using the PyTorch implementation, here is an example:

Here you are using the StandardTokenizerFactory for your field which is creating a token as shirt and hence a match.

StandardTokenizerFactory :- It tokenizes on whitespace, as well as strips characters

The Documentation for StandardTokenizerFactory mentions as :-

Splits words at punctuation characters, removing punctuations. However, a dot that's not followed by whitespace is considered part of a token. Splits words at hyphens, unless there's a number in the token. In that case, the whole token is interpreted as a product number and is not split. Recognizes email addresses and Internet hostnames as one token.

If you want to perform search on the "t-shirt", then it should be tokenized. I would suggest you to use the KeywordTokenizerFactory

Keyword Tokenizer does not split the input provided to it. It does not do any processing on the string, and the entire string is treated as a single token. This doesn't actually do any tokenization. It returns the original text as one term.

This KeywordTokenizerFactory is used for sorting or faceting requirements, where one want to perform the exact match. Its helpful in faceting and sorting.

You can have another field and apply KeywordTokenizerFactory to it and perform your search on it.

You can try building the url yourself from HttpContext.Request: