MetaPAD: Meta Pattern Discovery from Massive Text Corpora

KDD '17: The 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining Halifax NS Canada August, 2017, pp. 877-886, 2017.

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We developed an e cient framework, MetaPAD, to discover the meta pa erns from massive corpora with three techniques, including a context-aware segmentation method to carefully determine the boundaries of the pa erns with a learnt pa ern quality assessment function, which avoids c...

Abstract:

Mining textual patterns in news, tweets, papers, and many other kinds of text corpora has been an active theme in text mining and NLP research. Previous studies adopt a dependency parsing-based pattern discovery approach. However, the parsing results lose rich context around entities in the patterns, and the process is costly for a corpus...More

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