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NLP Homework 3

Submission skeleton

- code
  |__ predict.py # This file contains all the functions you have to implement.
- resources # mappings are in here. you should place any additional resource (e.g. trained models) in here
  |__ babelnet2lexnames.tsv  # bnids to lexnames
  |__ babelnet2wndomains.tsv # bnids to WordNet domains labels
  |__ babelnet2wordnet       # bnids to WordNet offsets
- README.md # this file
- Homework_3_nlp.pdf # the slides presenting this homework
- report.pdf	# your report

Instructions

Place all your code in the code folder. You can create other files. Place any additional resources needed for the functions in predict.py (such as the weights of your trained models) in the resources folder. Place your report as report.pdf in the root folder. Follow the slides for any additional information.

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A supervised Bi-LSTM architecture capable of performing both fine-grained and coarse-grained WSD

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