Anyone know of some good Word Sense Disambiguation software? [closed]

by

My list are not exhaustive but surely Googling for more will be better for your purposes.

For softwares here’s a short list, remember to CITE the relevant sources!!!

GWSD: Unsupervised Graph-based Word Sense Disambiguation
http://lit.csci.unt.edu/~rada/downloads/GWSD/GWSD.1.0.tar.gz

SenseLearner: All-Words Word Sense Disambiguation Tool
http://lit.csci.unt.edu/~rada/downloads/senselearner/SenseLearner2.0.tar.gz

KYOTO UKB graph-based WSD
http://ixa2.si.ehu.es/ukb/

pyWSD: Python Implementation of Simple WSD algorithms https://github.com/alvations/pywsd

WSD tasks are sort of also dependent of the data source so here’s a few, remember to CITE them too!!!

Open Mind Word Expert Sense Tagged Data
http://teach-computers.org/word-expert.html

TWA Sense Tagged Data
http://lit.csci.unt.edu/~rada/downloads/TWA/TWA.tar.gz

SemCor
http://lit.csci.unt.edu/~rada/downloads/semcor/semcor1.6.tar.gz

Lastly, WSD tasks are dependent on some preprocessing and if you’re looking into state-of-the-art crosslingual WSD, then you should try to look out for word level aligners like

  • MOSES
  • MGIZA++
  • GIZA++
  • BerkeleyAligner

Also, look at previous Senseval/SemEval pages to look for what has already been done, and what are the trends that future tasks are moving towards. http://en.wikipedia.org/wiki/SemEval

More Related Contents:

  1. What are some simple NLP projects that a CS undergrad can try implementing? [closed]
  2. Detecting syllables in a word
  3. Stemmers vs Lemmatizers
  4. How do you implement a “Did you mean”? [duplicate]
  5. How do I do word Stemming or Lemmatization?
  6. How do I open multiple instances of Visual Studio Code?
  7. What is the difference between lemmatization vs stemming?
  8. How to use Bert for long text classification?
  9. OpenAI GPT-3 API: How do I make sure answers are from a customized (fine-tuning) dataset?
  10. Machine understand natural language – nlp [closed]
  11. How to convert string rule to an expression which has a range in R [closed]
  12. Speeker Identification (Machine Learning)
  13. Ordinal numbers replacement
  14. How can I split a text into sentences using the Stanford parser?
  15. Using NLTK and WordNet; how do I convert simple tense verb into its present, past or past participle form?
  16. How to get rid of punctuation using NLTK tokenizer?
  17. English grammar for parsing in NLTK
  18. Difference between constituency parser and dependency parser
  19. How to split a string into words. Ex: “stringintowords” -> “String Into Words”?
  20. Using Gensim Fasttext model with LSTM nn in keras
  21. Efficiently count word frequencies in python
  22. Fuzzy String Comparison
  23. Java API for plural forms of English words
  24. Natural Language date and time parser for java [closed]
  25. Language recognition in Java [closed]
  26. Pandas dataframe groupby text value that occurs in two columns
  27. tag generation from a text content
  28. Implementing Bag-of-Words Naive-Bayes classifier in NLTK
  29. Fast n-gram calculation
  30. Using the Python NLTK (2.0b5) on the Google App Engine

Leave a Comment