Machine Learning for Readability of Legislative Sentences
Improving the readability of legislation is an important and unresolved problem. Recently, researchers have begun to apply legal informatics to this problem. This paper applies machine learning to predict the readability of sentences from legislation and regulations. A corpus of sentences from the United States Code and US Code of Federal Regulations was created. Each sentence was labelled for language difficulty using results from a large-scale crowdsourced study undertaken during 2014. The...[Show more]
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|Source:||A Study of Query Reformulation for Patent Prior Art Search with Partial Patent Applications|
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