Linear Kernel

We propose one type of TOP (Tangent vector Of the Posterior log-odds) kernel and apply it to text categorization. In a number of categoriza- tion tasks including text categorization, nega- …...

This paper proposes a tree kernel with context- sensitive structured parse tree information for re- lation extraction. It resolves two critical problems in previous tree kernels for relation extraction in …...

This paper investigates the problem of automated text aesthetics prediction. The avail- ability of user generated content and ratings, e.g. Flickr, has induced research in aesthet- ics prediction for non-text …...

This paper introduces a convolutional sen- tence kernel based on word embeddings. Our kernel overcomes the sparsity issue that arises when classifying short docu- ments or in case of little …...