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Data from the *SEM 2017 Paper
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README.md

README.md

WHiC

  • This repository contains the CONTEXT-WN dataset described in the *SEM 2017 Paper, Detecting Asymmetric Semantic Relations in Context : A Case Study on Hypernymy Detection.

  • The data has been split into a train, dev, and test set. The same split has been used in the experiments reported in the paper.

  • The data is in a tab seperated format with 4 columns. Each row is a single example of the type (c_l,w_l,c_r,w_r) with the columns as follows :

    1. c_l = left context
    2. w_l = left word
    3. c_r = right context
    4. w_r = right word
    5. Entailment label - 0 = False, 1 = True
  • The data is already tokenized and lowercased

  • If you use the data, please cite the paper

      @InProceedings{VyasCarpuat2017,
              Title = {Detecting Asymmetric Semantic Relations in Context : A Case Study on Hypernymy Detection},
              Booktitle = {Proceedings of *SEM 2017},
              Author = {Vyas, Yogarshi and Carpuat, Marine},
              Year = {2017},
              Location = {Vancouver, Canada}
      }
    
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