ICE-ATIS models

Table of Contents

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• 1. Introduciton
• 2. Setup
  • 2.1. Create a virtual environment
  • 2.2. Activate virtual environment
  • 2.3. Install dependecies
  • 2.4. Set evironment variable
  • 2.5. Run setup.sh
• 3. Example of Usage
• 4. Contributors

1. Introduciton

This repository contains the scrips and pretrained models trained on the ICE-ATIS dataset.

2. Setup

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2.1. Create a virtual environment

$ python3 -m venv venv

2.2. Activate virtual environment

$ . ./venv/Scripts/activate

2.3. Install dependecies

(venv)$ pip install -r requirements.txt

2.4. Set evironment variable

(venv)$ export PYTHONPATH=src

2.5. Run setup.sh

This will optain the ICE-ATIS dataset and place it in the root directory.

(venv)$ . setup.sh

3. Example of Usage

from utils.get_data import load_model, get_most_common_label

trigram_model = load_model("models/ngram.trigram.pickle")
trigram_test_tokens = ('til', 'boston', 'frá')
trigram_test_label = get_most_common_label(trigram_test_tokens, trigram) # B-toloc.city_name

4. Contributors

Become a contributor

🌟 PLEASE STAR THIS REPO IF YOU FOUND SOMETHING INTERESTING 🌟