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Add examples of papers for existing approaches combining structured linguistic data with LLMs
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Hello. In your paper you mentioned that this work "was unified into an end-to-end framework".
However, in your published code: 1) you directly use ogb-supplied features instead of text attributes; 2…
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Is it possible to leverage the information of the node features, e.g. initialize the embeddings?
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## 🐛 Bug
When trying to create embeddings for a custom list of DBPedia entities using `RDF2VecTransformer.fit_transform`, I'm encountering the following bug in `RDF2VecTransformer._update`:
**…
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- get text from uploaded files (pdf, docx, pptx)
- research available python libraries for text extraction
- prepare text
- clean
- separate languages
- lemmatize/stem
- POS taggin…
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# 1. Clone and push in github repository
1. Fork the Repository: Go to the repository https://github.com/NME-rahul/AI-AGS on GitHub and click on the "Fork" button in the upper right corner. This cr…
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**On which paper(s) is your requested model based.**
Low-Dimensional Hyperbolic Knowledge Graph Embeddings
Chami *et al.* (2021)
https://arxiv.org/abs/2005.00545
**List the original and other …
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< Placeholder >
timeline: April 2023 - April 2027.
ToDo: 6 weeks hands-on Python onboarding project. Learn a lot and plan to throw it away. Next step is then to start working on your first scientifi…
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To sort and search all my documents I want to build a system leveraging LLMs, vector db, and cloud storage technology to build a system that I can upload data to. The system will read the files and in…
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Hi, thank you for sharing the code!
Can you please explain how the ELMO embeddings are being used in the following lines in `models/list_encoder.py`?
`
learned_emb = self.lemb(l)
…