| Acquiring Paraphrases | 3.1 Distributional Similarity |
| Conclusion | We have shown that high precision surface paraphrases can be obtained by using distributional similarity on a large corpus. |
| Introduction | A popular method, the so-called distributional similarity , is based on the dictum of Zelig Harris “you shall know the words by the company they keep”: given highly discriminating left and right contexts, only words with very similar meaning will be found to fit in between them. |
| Related Work | Our method however, pre-computes paraphrases for a large set of surface patterns using distributional similarity over a large corpus and then obtains patterns for a relation by simply finding paraphrases (offline) for a few seed patterns. |
| Related Work | Using distributional similarity avoids the problem of obtaining overly general patterns and the pre-computation of paraphrases means that we can obtain the set of patterns for any relation instantaneously. |