New answers tagged

1 vote

Current state of the art and datasets for combining NLP and CV?

Your question is very interesting ! Actually your example is about multimodal sarcasm detection, one of the last paper on this task (as far I know) is Detection of Sarcasm through Tone Analysis on ...
user avatar
0 votes

Can I use Sentence-Bert to embed event triples?

Sentence-Bert can embed any chain of characters in english and create semantically related embeddings (or at least contextual character-based if the model is dealing with OOV). Even if no one else did ...
user avatar
1 vote

Compare Strings composed from 2-3 words using NLP/ML(Python)

You can use a model to create rich embeddings for example: sentence transformers and then use cosine similarity distance from sklearn with a threshold (at least 0.6) to create clusters of semantically-...
user avatar
0 votes

What is the best way to create a vector representation (with fasttext) of a list of words?

Welcome to the community. So basically you would like to come up with a single vector representation for each employer considering different skills that particular employer has? If that is the case, I ...
user avatar
0 votes

What is the best way to create a vector representation (with fasttext) of a list of words?

Something that might work is a Universal Sentence Encoder. It's not quite what you asked for, as it generates encodings directly from text, not from other word vectors, but it is designed for matching ...
user avatar
1 vote

Is there a relationship between Computer Algebra and NLP?

Yes there is a relationship, but it's not an exact one like I think is envisioned in the question. Fuzzy numbers and fuzzy logic translates natural language expressions into quantitative values and ...
user avatar
0 votes

How to configure a neural network to selectively change only certain characters in a string?

You could wrap each RNN cell in a custom module that is an identity for consonants (output = input when the input is a consonant) and predicts the macronization of vowels (it outputs the result from ...
user avatar
1 vote

Is there any way to train a regression model with negative values that is more stable?

A couple things you could try: You could try normalizing your target variable, so that it's number of standard deviations from the mean, or mapped to [-1,1]. If you are using drop-out during training. ...
user avatar

Top 50 recent answers are included