https://github.com/jianlins/fastcontext

FastContext is an optimized Java implementation of ConText algorithm (https://www.ncbi.nlm.nih.gov/pubmed/23920642).
https://github.com/jianlins/fastcontext

context-detection java nlp

Last synced: 9 days ago
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FastContext is an optimized Java implementation of ConText algorithm (https://www.ncbi.nlm.nih.gov/pubmed/23920642).

• Host: GitHub
• URL: https://github.com/jianlins/fastcontext
• Owner: jianlins
• License: apache-2.0
• Created: 2017-04-23T20:50:32.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2021-10-19T20:48:11.000Z (about 3 years ago)
• Last Synced: 2023-12-15T13:42:45.333Z (11 months ago)
• Topics: context-detection, java, nlp
• Language: Java
• Size: 251 KB
• Stars: 11
• Watchers: 4
• Forks: 5
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# FastContext

FastContext is an optimized Java implementation of ConText algorithm (https://www.ncbi.nlm.nih.gov/pubmed/23920642). It runs two orders of magnitude faster and more accurate than previous two popluar implementations: [JavaConText](https://storage.googleapis.com/google-code-archive-downloads/v2/code.google.com/negex/JavaConText.zip) and [GeneralConText](https://storage.googleapis.com/google-code-archive-downloads/v2/code.google.com/negex/GeneralConText.Java.v.1.0_10272010.zip).

## Maven dependency set up

```xml

  edu.utah.bmi.nlp

  fastcontext

  1.3.1.9

```

Note: the maven distribution doesn't include the context rule file, you can download it [here](https://github.com/jianlins/FastContext/blob/master/conf/context.csv) if needed.

## Quick start

```java

// Initiate FastContext

FastContext fc = new FastContext("conf/context.csv");

String inputString = "The patient denied any fever , although he complained some headache .";

ArrayList sent = SimpleParser.tokenizeOnWhitespaces(inputString);

LinkedHashMap matches = fc.getFullContextFeatures("Concept", sent, 4, 4, inputString);

// To find the context information of "fever"

```

For more detailed API uses, please refer to [TestFastContextAPIs.java](https://github.com/jianlins/FastContext/blob/master/src/test/java/edu/utah/bmi/nlp/fastcontext/TestFastContextAPIs.java)

## Acknowledgement

Special thanks to Olga Patterson and Guy Divita for contributing rules as part of the context rule set.

## Citation

If you are using FastContext within your research work, please cite the following publication:

``` 

Shi, Jianlin, and John F. Hurdle. “Trie-Based Rule Processing for Clinical NLP: A Use-Case Study of n-Trie, Making the ConText Algorithm More Efficient and Scalable.” Journal of Biomedical Informatics, August 6, 2018. https://doi.org/10.1016/j.jbi.2018.08.002.

```

Full text are available at: 

https://www.sciencedirect.com/science/article/pii/S1532046418301576

Preprint:

https://arxiv.org/abs/1905.00079