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I’m thinking about a more reliable solution for the webscraper, that as build in support for LLM commands to process the information on the fly.I found a project here: https://github.com/unclecode/cra…
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complications were found as the method was not designed to extract keywords other than English. by using language detection and specifying in a dictionary a few languages, Rake() is able to know what …
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**Please describe the module you would like to add to bricks**
financial/insurance Email extraction via GPT
**Do you already have an implementation?**
It can be used various keywords like insuran…
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Hi
Keybert supports extraction of keywords and key phrases.
I came across UCPhrase (http://hanj.cs.illinois.edu/pdf/kdd21_xgu.pdf) which also mines phrase. Are there any benchmarks of keybert wit…
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Are there any plans to support asynchronously compress/extraction preferably using async/await keywords?
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```
[general]
parser_type = "multi_stage"
ref_metadata_method = "none"
[model]
model_name = "mistralai/mistral-7b-instruct"
temperature = 0.6
[ontology]
versions = ["v0"]
notion_db_id =…
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The target word suffix plus a number will cause the extraction to fail.
>>> import flashtext
>>> _extractor = flashtext.KeywordProcessor()
>>> _extractor.add_keyword('地中海贫血')
True
>>> _extractor.…
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As discussed in the last meeting, we want to do an additional method of keyword extraction. In Issue #9 , the keyword extraction aims to get keywords directly related to the character. Additionally, w…
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### Description
The most crucial factor for HackerGPT is the quality of AI responses. To significantly improve the RAG system, we need to create custom code for text embedding and metadata extraction…
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I am using KeyLLM for a keyword extraction tool. I have already implemented the extraction tool with KeyBERT now since LLM seems to be a cool approach i would like to switch it to KeyLLM.
But the p…