К-средних кластеризация

We present an unsupervised learning ap- proach to disambiguate various relations between name entities by use of various lexical and syntactic features from the contexts. It works by calculating eigen- …...

This paper presents an approach to person name disambiguation using K-means clus- tering on rich-feature-enhanced document vectors, augmented with additional web- extracted snippets surrounding the polyse- mous names to facilitate …...

This paper presents an approach for web page clustering. The different underlying meanings of a name are discovered on the basis of the title of the web page, the body …...

We propose a hybrid genera- tive/discriminative framework for se- mantic parsing which combines the hidden vector state (HVS) model and the hidden Markov support vector machines (HM- SVMs). The HVS …...

For many low-resource languages, spoken lan- guage resources are more likely to be an- notated with translations than with transcrip- tions. Translated speech data is potentially valuable for documenting endangered …...

AbstractAspect phrase grouping is an important task in aspect-level sentiment analysis. It is a challenging problem due to polysemy and context dependency. We propose an Attention-based Deep Distance Metric Learning …...

Properties of corpora, such as the diver- sity of vocabulary and how tightly related texts cluster together, impact the best way to cluster short texts. We examine several such properties …...

AbstractStereotypical character roles-also known as archetypes or dramatis personae-play an important function in narratives: they facilitate efficient communication with bundles of default characteristics and associations and ease understanding of those …...

AbstractThis study evaluates whether model-based Collaborative Filtering (CF) algorithms, which have been extensively studied and widely used to build recommender systems, can be used to predict which common nouns a …...

AbstractAdpositions and case markers contain a high degree of polysemy and participate in unique semantic role configurations. We present a novel application of the SNACS supersense hierarchy to Finnish and …...