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[AWS Glue](https://aws.amazon.com/glue/features/) seems really useful especially it's fuzzy FindMatches feature, ([although LLM based cosine similarity embeddings should provide similar features](http…
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At @related-sciences, we created a Python library called [nxontology](https://github.com/related-sciences/nxontology) for computing intrinsic semantic similarity between pairs of nodes in an ontology.…
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In order to compute similarity/relatedness between artists, we must leverage the links between different artists, not just the direct ones, but indirect ones as well. Eg: In a->b->c, a is directly lin…
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Thanks for this great software. And thank you for making a editable version available to the research community. Your papers [1][2] are detailed, complete, and thought-provoking.
When running genew…
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Hello,
I am reading this webpage https://sbert.net/docs/pretrained_models.html about model comparisons. I am a little confused with the "Performance Sentence Embeddings" and "Performance Semantic S…
njjry updated
9 months ago
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### Title
Document Tagging System for Information Retrieval and Relevance
### Team Name
DataNavigatorsss
### Email
202103025@daiict.ac.in
### Team Member 1 Name
Aditya Bhatt
#…
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I am using 'sentence-transformers/all-mpnet-base-v2'. My question is what happens when I encode a text longer than 384 tokens?
Does the model embed sentences in the longer text separately?
If so ho…
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Hi all, thanks for this work.
I need to exec a large number of requests to compute similarities between wikidata entities. I'm trying running a simple code snippet without calling the API. Is it poss…
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1. Semantic diversity (semD)
- A measure of the distance between various contexts in which a word appears. Low diversity values indicate that a word is used in very narrow contexts (e.g. spinach), wh…