Suggestions about how to apply Named Entity Recognition or Related
I am doing web scraping on an e-commerce site and have access to the descriptions of houses, which are provided in paragraphs of text (in Spanish).I need a model that can extract useful information from these texts, such as the number of rooms in the house or whether it has a pool (if so, I would append a 1 to my Python list).I do not know if this is for Named Entity Recognition (NER) or applying Question Answering (QA), if positive responses, then add information to my list of Python.The outcome would be a more comprehensive dataset, using NLP to analyze the features the house offers.Do you have any suggestions for a model that could do this?The vocabulary must be related to real estate and in Spanish.
2024-08-26T07:39:38Z
hi@leonelmorenoaQuestion answering sounds reasonable. You might try this one, it can work better than a generic model:GAIR/rst-information-extraction-11b · Hugging FacePlease checkhuggingface.coInformation Extraction with Haystack and NuExtract - Hugging Face Open-Source...We’re on a journey to advance and democratize artificial intelligence through open source and open science.andGitHub - 1rgs/jsonformer: A Bulletproof Way to Generate Structured JSON from Language Modelsas well.
2024-08-31T20:21:54Z
Thank you so much@mahmutc
2024-10-06T00:19:45Z
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