We present MultiWiBi, an approach to the automatic creation of two integrated taxonomies
for Wikipedia pages and categories written in different languages. In order to create both …

This paper presents a new method of developing a large-scale hyponymy relation database
by combining Wikipedia and other Web documents. We attach new words to the hyponymy …

Semantic relations, such as synonyms, hypernyms and co-hyponyms proved to be useful for
text processing applications, including text similarity, query expansion, question answering …

The ability to provide abstractions of documents in the form of important concepts and their
relations is a key asset, not only for bootstrapping the Semantic Web, but also for relieving …

In this paper we introduce Statement Map, a project designed to help users navigate the vast
amounts of information on the internet and come to informed opinions on topics of interest. It …

This paper proposes an efficient online method that trains a classifier with many conjunctive
features. We employ kernel computation called kernel slicing, which explicitly considers …

This paper presents a method for constructing a large-scale Person Ontology with category
hierarchy from Wikipedia. We first extract Wikipedia category labels which represent person …

Common techniques for acquiring semantic relations rely on static domain and linguistic
resources, predefined patterns, and the presence of syntactic cues. We propose a hybrid …

This paper proposes a novel framework called bilingual co-training for a largescale,
accurate acquisition method for monolingual semantic knowledge. In this framework, we …

Rakuten recipe is a recipe site where users can submit their recipes and share with the
others. Since recipe contents are generated by users, they usually contain many …