README

====== Daniel Bronfman, REMOVED Coral Kuta, 208649186

Requirements:

Python 3.x
PyTorch
torchtext
numpy
matplotlib
argparse

File structure:

├── images
├── ner
│   ├── dev
│   ├── test
│   └── train
├── pos
│   ├── dev
│   ├── test
│   └── train
├── tagger1.py
├── tagger2.py
├── tagger3.py
├── tagger4.py
├── tagger_launcher.py
├── top_k.py
├── tree.txt
├── vocab.txt
└── wordVectors.txt

Note: this directory structure is required for the plot functions to work

Relevant files:

Files for all questions:

tagger_launcher.py
`./ner/test - not submitted
`./ner/train - not submitted
`./ner/dev - not submitted
`./pos/test - not submitted
`./pos/train - not submitted
`./pos/dev - not submitted

Files for question 1:

tagger1.py
test1.pos
test1.ner

Files for question 2:

top_k.py

Files for question 3:

tagger2.py
test3.pos
test3.ner

Files for question 4:

tagger3.py
test4.pos
test4.ner

Files for question 5:

tagger4.py
test5.pos
test5.ner

Instructions:

Make sure all the requirements above are fulfilled.
Download the relevant files.
Run tagger_launcher with the following arguments (in this order): python tagger_launcher.py [-h] [--part PART] [--task TASK] [--pretrained]

The script accepts the following command-line arguments:

--part, -p: Specifies which part of the exercise to run. It should be an integer between 1 and 5 (inclusive). --task, -t: Specifies the task to run, either "ner" or "pos". --pretrained, --pre: (Optional) Specifies whether to use pretrained embeddings or not. Only applicable for tagger3. If provided, the script will use pretrained embeddings. Note: All the arguments are optional, but at least one argument is required to execute the script.

Examples:

Run part 1 for named entity recognition (NER): python tagger_launcher.py --p 1 --t ner

Run part 2: python tagger_launcher.py --part 2

Run part 4 for part-of-speech (POS) tagging without pretrained embeddings: python tagger_launcher.py --p 4 --t pos

Run part 4 for NER with pretrained embeddings: python tagger_launcher.py --p 4 --t ner --pre

Run part 5 for POS tagging: python tagger_launcher.py --part 5 --task pos

funkey7dan / deeplearn_ass2