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Stanford SPIED Reviews & Product Details

Stanford SPIED Overview

What is Stanford SPIED?

Stanford Pattern-based Information Extraction and Diagnostics (SPIED) is a pattern-based entity extraction and visualization that provides code for two components, Learning entities from unlabeled text starting with seed sets using patterns in an iterative fashion and Visualizing and diagnosing the output from one to two systems.

Stanford SPIED Details
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Product Description

Stanford Pattern-based Information Extraction and Diagnostics (SPIED) is a pattern-based entity extraction and visualization that provides code for two components, Learning entities from unlabeled text starting with seed sets using patterns in an iterative fashion and Visualizing and diagnosing the output from one to two systems.


Seller Details
HQ Location
Stanford, CA
Twitter
@stanfordnlp
160,213 Twitter followers
LinkedIn® Page
www.linkedin.com
3,992 employees on LinkedIn®

Recent Stanford SPIED Reviews

Verified User
U
Verified UserMid-Market (51-1000 emp.)
3.5 out of 5
"Spied is a good tool for few shot entity detection"
Simplicity of the end user API and the fact that the model itself has been provided as an easy to use open source library. You can easily build it ...
Verified User
G
Verified UserSmall-Business (50 or fewer emp.)
3.0 out of 5
"Stanford SPIED Review "
I like how easy it is to use this program. Since the code falls on the generic side, it is easy to use your own model.
LL
Lissette L.Enterprise (> 1000 emp.)
3.5 out of 5
"A great tool for visualizing diagnostic information"
SPIED can help us compare 2 systems by their identities. It's very intuitive, as it learns as you go. SPIED visualizes learned patterns and entit...
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Stanford SPIED Media

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3 Stanford SPIED Reviews

3.3 out of 5
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3 Stanford SPIED Reviews
3.3 out of 5
3 Stanford SPIED Reviews
3.3 out of 5

Stanford SPIED Pros and Cons

How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Cons
G2 reviews are authentic and verified.
Verified User in Computer & Network Security
UC
Mid-Market(51-1000 emp.)
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Validated Reviewer
Verified Current User
Review source: G2 invite
Incentivized Review
What do you like best about Stanford SPIED?

Simplicity of the end user API and the fact that the model itself has been provided as an easy to use open source library. You can easily build it into your own product. Review collected by and hosted on G2.com.

What do you dislike about Stanford SPIED?

Build process is not that simple especially for people used to python packages. Review collected by and hosted on G2.com.

What problems is Stanford SPIED solving and how is that benefiting you?

We used it to label new text data that came in and it saved quite a bit of annotators time by providing good first pass labelled examples. Review collected by and hosted on G2.com.

LL
Graphic Designer
Enterprise(> 1000 emp.)
More Options
Validated Reviewer
Review source: G2 invite
Incentivized Review
What do you like best about Stanford SPIED?

SPIED can help us compare 2 systems by their identities. It's very intuitive, as it learns as you go.

SPIED visualizes learned patterns and entities, and also has the ability to contrast them.

Pattern learning is very important in my workflow, and this is a great way to do it. Review collected by and hosted on G2.com.

What do you dislike about Stanford SPIED?

There are some improvements to be made, it lacks a feature for users to provide

their own oracle label of a learned entity using SPIED. Also, visualization by parameters would make it easier for the user to understand systems that extract large number of patterns and entities. Review collected by and hosted on G2.com.

Recommendations to others considering Stanford SPIED:

Keep in mind that SPIED is still in the works, and they are improving features.

In the future I hope that they implement visualization by summarizing the diagnostic information.

However, if you are looking for a light web browsing experience, this is the way to go.

Also, SPIED-Learn uses TokensRegex to create and apply surface word patterns to text. It also inputs in a JSON format. Javascript, angular, and jquery are required to visualize information in a web browser. Review collected by and hosted on G2.com.

What problems is Stanford SPIED solving and how is that benefiting you?

SPIED helps me diagnose errors and tune parameters in a pattern-based system. It's also quite easy and efficient way. Also, let's not forget that it's a light-weight web browser based visualization and that's a plus in my workflow. Review collected by and hosted on G2.com.

Verified User in Apparel & Fashion
GA
Small-Business(50 or fewer emp.)
More Options
Validated Reviewer
Review source: G2 invite
Incentivized Review
What do you like best about Stanford SPIED?

I like how easy it is to use this program. Since the code falls on the generic side, it is easy to use your own model. Review collected by and hosted on G2.com.

What do you dislike about Stanford SPIED?

I dont like that the system is still in Beta and requires testing often. Review collected by and hosted on G2.com.

What problems is Stanford SPIED solving and how is that benefiting you?

It is great to create patterns out of our data with an easy to read output. Review collected by and hosted on G2.com.

There are not enough reviews of Stanford SPIED for G2 to provide buying insight. Below are some alternatives with more reviews:

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