ntee | Neural Text-Entity Encoder | Machine Learning library
kandi X-RAY | ntee Summary
kandi X-RAY | ntee Summary
Neural Text-Entity Encoder (NTEE)
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Top functions reviewed by kandi - BETA
- Train a model
- Train the model
- Builds the model
- Gets the entity vector for the given title
- Return the key index for the given entity
- Evaluate STS
- Compute the mean vector of the given text
- Gets the word vector corresponding to the given word
- Return the word index for the given word
- Generate corpus from a Wikipedia dump
- Resolve redirect value
- Evaluate a Spearman model
- Build a vocabulary
- Get the link count for the given title
ntee Key Features
ntee Examples and Code Snippets
Community Discussions
Trending Discussions on ntee
QUESTION
To preface I am working in Python 3.8.3 on windows 10 and using slate3k
to parse through my pdf
I am working on a python program that will parse through a PDF and spit out a certain pattern and make a csv file for me.
However, when I try find the pattern with the parsed text, I am getting nothing.
I've taken an example of some parsed text and assigned it to parsed
ANSWER
Answered 2020-May-28 at 21:53You had an extra minus - symbol
QUESTION
What I want to do is use Propublica's nonprofit API to pull in information about various nonprofits and display certain attributes in a table.
Right now, I'm fetching an object:
...ANSWER
Answered 2020-May-19 at 08:52here is a working example:
QUESTION
I'm making an APi using Flask, SQLAlchemy, and Marshmallow.
The model is defined and the database is populated with data and when the view is hit. I get all the fields JSON content from NonProfitSchema
.
ANSWER
Answered 2020-Mar-05 at 08:18Alternatively, you can plug this logic right into the jsonify step
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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No vulnerabilities reported
Install ntee
The embeddings used in our experiments can be downloaded from the following links:. These models are Python dict objects serialized with [joblib](https://pythonhosted.org/joblib/) and compressed with gzip.
[ntee_300_sentence.joblib.gz](https://s3-ap-northeast-1.amazonaws.com/ntee/pub/models/ntee_300_sentence.joblib.gz) (300d vectors, 1.8GB, trained on Wikipedia sentences)
[ntee_300_paragraph.joblib.gz](https://s3-ap-northeast-1.amazonaws.com/ntee/pub/models/ntee_300_paragraph.joblib.gz) (300d vectors, 1.8GB, trained on Wikipedia paragraphs)
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