PySupWSDPocket

Just a Python Version of SupWSD Pocket: A software suite for SUPervised Word Sense Disambiguation.

Suport langugae

• en, fr, de, it, es.

Suport Model

• the model to be used in the disambiguation process: SEMCOR (English only), SEMCOR_OMSTI (English only), TRAIN_O_MATIC.
  If you don't specify the model, the program will load the default one: semcor_omsti for English, train_o_matic for other languages.

Installing

pip install pysupwsdpocket

or

pip install pysupwsdpocket -U

Install Model Language

Download the templates to the path: /home/your_user/pysupwsdpocket_models

Guide Start

example.py

from pysupwsdpocket import PySupWSDPocket

sentence = 'The human brain is quite proficient at word-sense disambiguation.'

nlp = PySupWSDPocket(lang='en', model='semcor_omsti')
doc = nlp.wsd(raw_text=sentence)
print(doc)

Running CLI

sentence the sentence to be analyzed.
dataset the path of the file containing the sentences to be analyzed (one sentence per line).

pysupwsd -wsd <sentence|dataset> <lang> <model>

pysupwsdpocket -wsd 'The human brain is quite proficient at word-sense disambiguation.' en semcor_omsti

Credits

• SupWSD Site Oficial
  
• SupWSD Github Oficial
  
• Simone Papandrea
• Alessandro Raganato