This is an abstractive summarization demo program. It was mainly used to summarize opinions, but since it does not rely on any domain information, it can be used to summarize any highly redundant text.
Graph mining refers to extracting knowledge from massive graphs. The data sets of telephone calls we see at AT&T can be viewed as a single graph, with several hundred million phone numbers as nodes, and calls between phone numbers as edges. It is a giant social network, like an internet connections graph or a rich citation network.
M. Atzmueller, A. Schmidt, B. Kloepper, и D. Arnu. New Frontiers in Mining Complex Patterns. Postproceedings NFMCP 2016, том 10312 из LNAI, Berlin/Heidelberg, Germany, Springer Verlag, (2017)
M. Atzmueller, A. Schmidt, B. Kloepper, и D. Arnu. New Frontiers in Mining Complex Patterns. Postproceedings NFMCP 2016, том 10312 из LNAI, Berlin/Heidelberg, Germany, Springer Verlag, (2017)
A. Hotho, R. Jäschke, C. Schmitz, и G. Stumme. The Semantic Web: Research and Applications, том 4011 из Lecture Notes in Computer Science, стр. 411--426. Berlin/Heidelberg, Springer, (июня 2006)