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Thank you for your outstanding work! The model seems to be more tailored towards Referring Image Segmentation, and I'm still somewhat confused about testing for Semantic Segmentation (SS) and Open-Voc…
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Collecting semantic-text-similarity
Using cached semantic_text_similarity-1.0.3-py3-none-any.whl (416 kB)
Collecting pytorch-transformers==1.1.0
Using cached pytorch_transformers-1.1.0-py3-none…
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### Description
Love the project,
we need to add a langchain Document interface, which I am more than happy to do it but just a few questions:
- each node will become a document
- the content wi…
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Hi, great work! I can't find a specific data collection and pre-processing pipeline. Could you elaborate on video sources and text annotations?
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sbyim updated
3 years ago
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---
title: "Pipeline for retrieving semantic similarity matrix"
output: html_notebook
---
This is our pipeline for retrieving a semantic similarity matrix that we would like to be streamlined an…
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Hello,
As per the requirement of a chatbot, I feel it is important to have an algorithm which calculates the semantic similarity between the two sentences.
For example, In the existing code, sim…
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Describe stereotypes shortlisted in ptypes-nlesc/ptypes-topic-modeling#6 with predefined tags (e.g. tag1=0.5, tag2=0.2, tag3=0.1, ...) and vice versa e.g. tags1 contributes to stereotype1=0.1, stereot…
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Q: How close in vector space are all the COVID-19 names?
A: COVID-19, Coronavirus, SARS-CoV-2, coronavirus, corona virus, covid-19, covid 19
1.0000, 0.7594, 0.7089, 0.7594, 0.7195, 1.0000, 0.959…
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Talking about: https://github.com/INCATools/ontology-access-kit/blob/main/src/oaklib/datamodels/similarity.yaml
This looks like for every similarity algorithm we want to implement, we will define a…