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Semantic Table Retrieval using Keyword and Table Queries

This repository contains resources developed within the following paper:

S. Zhang and K. Balog. Semantic Table Retrieval using Keyword and Table Queries. In: ACM Transactions on the Web (TWEB), 2021.

This work is an extension of

S. Zhang and K. Balog. Ad Hoc Table Retrieval using Semantic Similarity. In: Proceedings of the Web Conference 2018 (WWW '18), April 2018.

The keyword table search utilizes the same benchmark as it, and we here supply additional test collection for table search using a table query.

Test collection

The table corpus is WikiTables, which comprises 1.6M tables extracted from Wikipedia. We proproceeed it and make it public downloadable here.

The data/*/queries.txt file contains the search queries.

The data/*/qrels.txt file contains the relevance assessments (in TREC qrels format).

Data

We utilize word2vec trained on Google news, and you can find it here. You can find the graph embeddings here.

The evaluation scores are reported using trec_eval.

Citation

@article{Zhang:2021:STR,
  author = {Zhang, Shuo and Balog, Krisztian},
  title = {Semantic Table Retrieval Using Keyword and Table Queries},
  year = {2021},
  issue_date = {May 2021},
  volume = {15},
  number = {3},
  journal = {ACM Trans. Web},
  articleno = {11},
  numpages = {33}
}

Contact

If you have any questions, please contact Shuo Zhang at imsure318@gmail.com.