TableNet: An Approach for Determining Fine-grained Relations for Wikipedia Tables

Author:

Fetahu Besnik1,Anand Avishek1,Koutraki Maria2

Affiliation:

1. L3S Research Center, Germany

2. FIZ Karlsruhe, AIFB KIT, Germany

Publisher

ACM Press

Reference15 articles.

1. Abdalghani Abujabal, Rishiraj Saha Roy, Mohamed Yahya, and Gerhard Weikum. 2018. Never-Ending Learning for Open-Domain Question Answering over Knowledge Bases. In Proceedings of the 2018 World Wide Web Conference on World Wide Web, WWW 2018, Lyon, France, April 23-27, 2018. 1053-1062. https://doi.org/10.1145/3178876.3186004

2. Sören Auer, Christian Bizer, Georgi Kobilarov, Jens Lehmann, Richard Cyganiak, and Zachary G. Ives. 2007. DBpedia: A Nucleus for a Web of Open Data. In The Semantic Web, 6th International Semantic Web Conference, 2nd Asian Semantic Web Conference, ISWC 2007 + ASWC 2007, Busan, Korea, November 11-15, 2007.722-735. https://doi.org/10.1007/978-3-540-76298-0_52

3. Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2014. Neural machine translation by jointly learning to align and translate. arXiv preprint arXiv:1409.0473(2014).

4. Leo Breiman. 2001. Random forests. Machine learning 45, 1 (2001), 5-32.

5. Michael J. Cafarella, Alon Y. Halevy, Daisy Zhe Wang, Eugene Wu, and Yang Zhang. 2008. WebTables: exploring the power of tables on the web. PVLDB 1, 1 (2008), 538-549. http://www.vldb.org/pvldb/1/1453916.pdf

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