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# Semantic Textual Similarity
## Task Objective
Evaluate the semantic understanding level of the models by comparing with the human-labeled sentence similarity. The task is part of the metatask http…
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Hello,
I have a problem, I have 1000's of sentences. I want to determine which of these 1000 sentences a sentence newly entered by the system is closest to. But I don't want it to analyze 1000 senten…
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**Is your feature request related to a problem? Please describe.**
Vision Language Models are useful for understanding based on images. In robotics, the environment is dynamic and images from camera …
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What is the difference between **Paraphrase Identification** and **Semantic Textual Similarity** ?
And is there a pre-trained model available for Semantic Textual similarity for the Portuguese lang…
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This task involves automating the current 'precheck' stage which currently involves a human 'triage-er' to validate whether the student model already knows the information which a user is trying to te…
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In _Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks_ Section 4:Evaluation - Semantic Textual Similarity, you include the Spearman rank correlation between the cosine similarity of the e…
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I think this feature would make a lot of sense.
I can add an `"images"` field in requests to `/api/generate` when using a multi-modal model, why can't I do the same for requests to `/api/embeddings`?…
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## ❓ Questions and Help
Thank your for the great library and your efforts towards explainable AI.
I am writing to find out how the library can be used to better understand a cosine similarity met…
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I want to contribute to the project by suggesting/adding Prompts for some more specialized downstream NLP Tasks such as :
1. Action Item Detection/Identification
2. Semantic Textual Similarity (S…
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I've noticed that models are trained on STS data or NLI data. In the readme page it says that STS trained models are specifically well suited for semantic textual similarity. When should i use models…