Latent Semantic Tensor Indexing for Community-based Question Answering

By Xipeng Qiu, Le Tian, Xuanjing Huang. 2013

14 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Kai-Wei Chang
2. Wen-tau Yih
3. Christopher Meek
4. Yoshua Bengio
5. Jianfeng Gao
6. Percy Liang
7. Mohit Bansal
8. Quoc V. Le

Citations in the corpus

• Multi-Relational Latent Semantic Analysis (2013, methodology): “Similar to this construction but used in the community-based question answering (CQA) scenario, Qiu et al. (2013) represented triples of question title, question content and answer as a tensor and applied 3-mode SVD to derive latent semantic representations for question matching.”