Improving Automated Patent Claim Parsing: Dataset, System, and Experiments

5 May 2016Mengke HuDavid CincirukJohn MacLaren Walsh

Off-the-shelf natural language processing software performs poorly when parsing patent claims owing to their use of irregular language relative to the corpora built from news articles and the web typically utilized to train this software. Stopping short of the extensive and expensive process of accumulating a large enough dataset to completely retrain parsers for patent claims, a method of adapting existing natural language processing software towards patent claims via forced part of speech tag correction is proposed... (read more)

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