Semantic address matching dataset

<p>Data for&nbsp;our paper&nbsp;<strong>Lin, Y., Kang, M., Wu, Y., Du, Q. and Liu, T. (2019) A deep learning architecture for semantic address matching,&nbsp;<em>International Journal of Geographical Information Science</em>, DOI:&nbsp;10.1080/13658816.2019.1681431</strong></p> <p>Below is an overview of each file in this dataset.</p> <ul> <li><code>train.txt</code> The training dataset</li> <li><code>train_code_a.txt</code> The index representations of the address elements (i.e., address elements represented by the corresponding indexes in the vocabulary obtained by word2vec) in <em>S_a</em></li> <li><code>train_code_b.txt</code> The index representations of the address elements in <em>S_b</em></li> <li><code>train_lable.txt</code> The labels of address pairs in the training dataset</li> </ul> <p>&nbsp;</p> <ul> <li><code>dev.txt</code> The development dataset</li> <li><code>dev_code_a.txt</code> The index representations of the address elements in <em>S_a</em></li> <li><code>dev_code_b.txt</code> The index representations of the address elements in <em>S_b</em></li> <li><code>dev_lable.txt</code> The labels of address pairs in the development dataset</li> </ul> <p>&nbsp;</p> <ul> <li><code>test.txt</code> The test dataset</li> <li><code>test_code_a.txt</code> The index representations of the address elements in <em>S_a</em></li> <li><code>test_code_b.txt</code> The index representations of the address elements in <em>S_b</em></li> <li><code>test_lable.txt</code> The labels of address pairs in the test dataset</li> </ul>