Noun Paraphrasing Based on a Variety of Contexts

We paraphrase nouns along the contexts of sentence input on the basis of a variety of contexts obtained from a large-scale corpus. The proposed method only uses the number of types of context, not word frequency or cooccurrence frequency features. This method is based on the notion that paraphrase candidates appear more commonly with target words in the same context. The results of our experiment demonstrate that the approach can produce more appropriate paraphrases than approaches based on co-occurrence frequency and pointwise mutual information.