NLP-Lib | Biomedical Relation Extraction , Protein-Protein Interaction
kandi X-RAY | NLP-Lib Summary
kandi X-RAY | NLP-Lib Summary
Code for Biomedical Relation Extraction, Protein-Protein Interaction (PPI) Extraction, Discourse Parsing, etc.
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Top functions reviewed by kandi - BETA
- Initialize the components
- Returns the width of the tree
- Open the open connection menu item
- Pick a font from the specified space
- Add some custom features
- Removes the reference tag from the given tag
- Get sentence arg stats
- Determines if the specified sentence is a a clause
- Evaluate the n - validation
- Interpolates the evaluation process
- Returns markup for the given sentence
- Translate a carrier instance to the target instance
- Test for bioNLP test
- Analyzes the training data
- Analyze argument span
- Create the connection type list
- Adds dependency features
- Add clause features
- Converts the POBs type of an IOBb file into a typed file
- Analyze CONN
- Add constituent features
- Process a corpus file
- Generate a list of features for a sentence
- Show correlation accuracy
- Main method for testing
- Add the self - syntactic features
NLP-Lib Key Features
NLP-Lib Examples and Code Snippets
Community Discussions
Trending Discussions on NLP-Lib
QUESTION
I am building a general-purpose NLP pipeline that will be able to use one of the several state-of-the-art NLP libraries currently out there. The library and exact model to use will be specified when instantiating the general purpose pipe. For this, I have created an enum whose values will be passed over to the general pipe's init and looks like this for now (only the spaCy part is ready):
...ANSWER
Answered 2021-Jan-29 at 16:29The reason for the warning is that mixing auto-assigned numeric values and manually assigned numeric values could end up duplicating values. The Enum
and IntEnum
auto()
use the last value seen and increment by one, so it's possible to specify a value already given by auto()
and end up with an alias instead of a unique member:
QUESTION
I'm running this example using pycorenlp Stanford Core NLP python wrapper, but the annotate function returns a string instead of a dict, so, when I iterate over it to get each sentence sentiment value I get the following error: "string indices must be integers".
What could I do to get over it? Anyone could help me? Thanks in advance. The code is below:
...ANSWER
Answered 2019-Oct-29 at 22:55You should just use the official stanfordnlp package! (note: the name is going to be changed to stanza at some point)
Here are all the details, and you can get various output formats from the server including JSON.
https://stanfordnlp.github.io/stanfordnlp/corenlp_client.html
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install NLP-Lib
You can use NLP-Lib like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the NLP-Lib component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .
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