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Every code package presented here includes a README file.

Local Context Database Construction:

  • For applying the rules presented in the thesis to a parsed corpus use the following code package:

Minipar modifications

  • For constructing the local context database and calculating the likelihood values of local contexts with words the following packages are used:

After applying the rules(minipar modifications)  to the dependency relationships, likelihood values for the local context database are evaluated with the following package:

paircount.tar

When likelihoods are evaluated, for constructing the local context database the following script is used:

lcdb_construct.tar

  • The local context database constructed for the thesis is available below:

lcdb.gz

Evaluation on Senseval-2 and Senseval-3 English all words data:

  • The Senseval-2 and Senseval-3 English all words data are parsed, the Minipar modifications are applied as applied to the training corpus, and some manual work done for correcting the ID numbers of the test cases. Therefore the resulting test files are given here, ready to use. Senseval-2 and Senseval-3 English all-words data converted into SemCor format by Rada Mihalcea are also available below:

test_files.tar

Senseval-2 Data

Senseval-3 Data

  • The code package needed for the disambiguation process is below. The steps are explained in the README file provided with the package.

disambiguation.tar