close
Skip to content

erigaud/SemRelationExtraction

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

77 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

SemRelationExtraction

A simple model to learn relation embedding between words using an unlabelled corpora(ukWaC) and evaluate them with 3 labelled datasets (BLESS, EVALuation1.0, EACL dataset for antonym and synonym distinction)

Steps:

    * Preprocess the Corpus [Go to /Preprocess]
    * Run the Model [Go  to /Model]
    * Perform the Evaluation [Go to /Evaluation]

    * For additional experiments [Go to /Extras]

References

   * How We BLESSed Distributional Semantic Evaluation [Baroni, Marco and Lenci, Alessandro]
   * EVALution 1.0: an Evolving Semantic Dataset for Training and Evaluation of Distributional Semantic Models [Santus, Enrico; Yung, Frances;  Lenci, Alessandro and Huang, Chu-Ren ]

About

This is a github repo for tracking the research updates on semantic relation extraction and word embedding generation

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors

Languages

  • Jupyter Notebook 65.3%
  • Python 34.5%
  • Shell 0.2%