Weakly-supervised acquisition of labeled class instances using graph random walks
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
New Regularized Algorithms for Transductive Learning
ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part II
Automatic set instance extraction using the web
ACL '09 Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP: Volume 1 - Volume 1
Character-level analysis of semi-structured documents for set expansion
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 3 - Volume 3
Coupled semi-supervised learning for information extraction
Proceedings of the third ACM international conference on Web search and data mining
Automatically incorporating new sources in keyword search-based data integration
Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
A Very Fast Method for Clustering Big Text Datasets
Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence
WebSets: extracting sets of entities from the web using unsupervised information extraction
Proceedings of the fifth ACM international conference on Web search and data mining
| Hi-index | 0.00 |
In this paper, we propose a single low-dimensional representation of a large collection of table and hyponym data, and show that with a small number of primitive operations, this representation can be used effectively for many purposes. Specifically we consider queries like set expansion, class prediction etc. We evaluate our methods on publicly available semi-structured datasets from the Web.