Paraphrases play an important role in the variety and complexity of natural language documents. However they adds to the difficulty of natural language processing. Here we describe a procedure for obtaining paraphrases from news article. A set of paraphrases can be useful for various kinds of applications. Articles derived from different newspapers can contain paraphrases if they report the same event of the same day. We exploit this feature by using Named Entity recognition. Our basic approach is based on the assumption that Named Entities are preserved across paraphrases. We applied our method to articles of two domains and obtained notable examples. Although this is our initial attempt to automatically extracting paraphrases from a corpus, the results are promising.
REF presented a method that extracted paraphrase patterns from multiple news articles about the same event.
Automatic Paraphrase Acquisition from News Articles
Proceedings of the second international conference on Human Language Technology Research -
Proceedings of the second international conference on Human Language Technology Research -
Computer Science