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Displaying 1-4 out of 4 total
Entity Disambiguation with Freebase
Found in: 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT)
By Zhicheng Zheng,Xiance Si,Fangtao Li,Edward Y. Chang,Xiaoyan Zhu
Issue Date:December 2012
pp. 82-89
Entity disambiguation with a knowledge base becomes increasingly popular in the NLP community. In this paper, we employ Freebase as the knowledge base, which contains significantly more entities than Wikipedia and others. While huge in size, Freebase lacks...
Modeling Social Annotations via Latent Reason Identification
Found in: IEEE Intelligent Systems
By Xiance Si,Zhiyuan Liu,Maosong Sun
Issue Date:November 2010
pp. 42-49
The probabilistic Tag Allocation Model (TAM) explains social tags by modeling the latent reasoning behind each tag in order to disambiguate them and identify noise.
Tag Allocation Model: Model Noisy Social Annotations by Reason Finding
Found in: Web Intelligence and Intelligent Agent Technology, IEEE/WIC/ACM International Conference on
By Xiance Si, Maosong Sun
Issue Date:September 2010
pp. 413-416
We propose the Tag Allocation Model (TAM) to model social annotation data. TAM is a probabilistic generative model, its key feature is finding the latent reason for each tag. A latent reason can be any discrete features of the document (such as words) or a...
Question identification on twitter
Found in: Proceedings of the 20th ACM international conference on Information and knowledge management (CIKM '11)
By Baichuan Li, Edward Y. Chang, Irwin King, Michael R. Lyu, Xiance Si
Issue Date:October 2011
pp. 2477-2480
In this paper, we investigate the novel problem of automatic question identification in the microblog environment. It contains two steps: detecting tweets that contain questions (we call them "interrogative tweets") and extracting the tweets which really s...