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Multiclass spectral clustering
Stella X Yu and Jianbo Shi · 2003
Earlier work this paper cites.

Similar

The elements of statistical learning
Trevor Hastie, Robert Tibshirani, Jerome Friedman, T Hastie, J Friedman, and R Tibshirani · 2009
Cited alongside, same era.

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Alternating maximization procedure for finding the global maximum of directed information
Iddo Naiss and Haim H Permuter · 2010
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2016

Joint Learning Templates and Slots for Event Schema Induction

Sha, Lei, Li, Sujian, Chang, Baobao et al.

Understand

Automatic event schema induction (AESI) means to extract meta-event from raw text, in other words, to find out what types (templates) of event may exist in the raw text and what roles (slots) may exist in each event type.

In this paper, we propose a joint entity-driven model to learn templates and slots simultaneously based on the constraints of templates and slots in the same sentence.
In addition, the entities' semantic information is also considered for the inner connectivity of the entities.
We borrow the normalized cut criteria in image segmentation to divide the entities into more accurate template clusters and slot clusters.