Applications¶
To illustrate the use of PySeqLab
package, we give examples from multiple domains:
Natural language processing (NLP)¶
Chunker¶
We show how to build and train a chunker
using CoNLL 2000 dataset
in this tutorial. Moreover, the project repository is available on bitbucket.
Part-of-Speech tagger¶
Similarly, we demonstrate how to train a part-of-speech tagger
using GENIA corpus 3.02 part of speech annotation
in this tutorial. The project repository is available on bitbucket.
Bio-named entity recognizer¶
We conclude the NLP examples by this tutorial on training a biomedical named entity recognizer (BioNER
) using BioNLP/NLPBA 2004 dataset.
The project repository is available on bitbucket.
Eukaryotic splice-junction sequences predictor¶
We demonstrate how to train a splice-junction classifier
using Molecular Biology (Splice-junction Gene Sequences) Data Set
in this tutorial. Moreover, the project repository is available on bitbucket.
Human activity recognition (HAR) classifiers¶
We demonstrate how to train a modes of locomotion classifier
and gestures movements classifier
using the OPPORTUNITY activity recognition dataset in this tutorial.
Moreover, the project repository is available on bitbucket.