Comments (1)
guillaumegenthial
commented on July 17, 2024
The function sparse_softmax_cross_entropy_with_logits is an efficient way of computing the softmax (see the doc). It should be equivalent to what is written on the post.
The sentence is a application of a basic probability theorem : the probability of independent events is the product of their probabilities. In the softmax setting, we assume that every tag is assigned independently of the others. Each probability is computed via the softmax. Then the probability of the whole sentence is the product of those probabilities.
from tf_ner.
Related Issues (20)
- InvalidArgumentError HOT 1
- Question: Effect of missing word in pre-trained word embeddings on model performance. HOT 1
- Is the evaluation metric the same as the ones in the papers?
- Does this evaluation script apply to BIO or BIES? HOT 1
- The pred_ids of `<pad>` is always zero
- 0 precision 0 recall for some custom tags HOT 2
- Why the result is better than that in the papers? #87 HOT 1
- batch size is creating confusion [ when we compare with Research Paper ]
- tensorflow.contrib.estimator HOT 6
- For models/lstm_crf/main.py, Line 171
- Support for TF 2.0 HOT 6
- InvalidArgumentError: labels contains negative values
- has no attribute 'stop_if_no_increase_hook' for tensorflow 1.9 HOT 1
- Which version of numpy will work HOT 1
- There are issues when I use my own datasets HOT 1
- Thanks for your amazing work!
- Visualizing embeddings & improving accuracy
- In reported result, what is difference between best and abs. best ? Also mean + std. deviation doesnt matches with the best result reported in the github page ? HOT 1
- same result on F1, Accuracy, precision
- Prediction script for single line statements
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from tf_ner.