Summarization of Legal Texts with High Cohesion and Automatic Compression Rate

@inproceedings{Kim2012SummarizationOL,
  title={Summarization of Legal Texts with High Cohesion and Automatic Compression Rate},
  author={Mi-Young Kim and Ying Xu and Randy Goebel},
  booktitle={JSAI-isAI Workshops},
  year={2012}
}
We describe a method for extractive summarization of legal judgments using our own graph-based summarization algorithm. In contrast to the connected and undirected graphs of previous work, we construct directed and disconnected graphs (a set of connected graphs) for each document, where each connected graph indicates a cluster that shares one topic in a document. Our method automatically chooses the number of representative sentences with coherence for summarization, and we don’t need to… CONTINUE READING
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