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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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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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I am following the official documentation scrips for semantic cache. In the following code
```
from redisvl.extensions.llmcache import SemanticCache
llmcache = SemanticCache(
name="llmcache", …
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The Semantic Answer Similarity (SAS) metric (https://arxiv.org/abs/2108.06130) employs pretrained encoders to gauge the semantic similarity between two types of texts: predictions and references. This…
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**Describe the bug**
The answer correctness does not seems consistent.
**Code to Reproduce**
question = ["1","2","3","4","5"]
answers = ["yes", "no", "no", "yes", "no"]
contexts = [["1","2","3"…
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This looks great. Can you give some examples how the phenodigm class scores similarity output might look from OWLSim.
The OWLSim format from `--sim-save-phenodigm-class-scores` is (partly translat…
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We have a full semantic network with the CLICS data, that covers all concepts that are linked to Concepticon. But the problem with semantic similarity here is that it is not always clear how to interp…
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### Question
您好,我在使用HownetSimilarity中遇到了问题,请求帮助,十分感谢。
文件`examples/literal_text_semantic_search_demo.py`
https://github.com/shibing624/similarities/blob/1fa48d30a1a20939f857bae99186e3cf2183f8ab/…
NLear updated
1 month ago
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In [doc](https://docs.ragas.io/en/latest/concepts/metrics/semantic_similarity.html ),
> The concept of Answer Semantic Similarity pertains to the assessment of the semantic resemblance between the…