European Union’s Legislative Proposals Clustering Based on Multiple Hidden Layers Representation

Author:

Hammami Eya,Faiz Rim

Publisher

Springer Nature Switzerland

Reference14 articles.

1. Mikolov, T., Sutskever, I., Chen, K., Corrado, G.S., Dean, J.: Distributed representations of words and phrases and their compositionality. In: Advances in Neural Information Processing Systems, vol. 26 (2013)

2. Le, Q., Mikolov, T.: Distributed representations of sentences and documents. In: International Conference on Machine Learning, pp. 1188–1196. PMLR (2014)

3. Conrad, J.G., Al-Kofahi, K., Zhao, Y., Karypis, G.: Effective document clustering for large heterogeneous law firm collections. In: Proceedings of the 10th International Conference on Artificial Intelligence and Law, pp. 177–187 (2005)

4. Lu, Q., Conrad, J.G., Al-Kofahi, K., Keenan, W.: Legal document clustering with built-in topic segmentation. In: Proceedings of the 20th ACM International Conference on Information and Knowledge Management, pp. 383–392 (2011)

5. Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence);K Raghav,2015

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