Fast Concept Mention Grouping for Concept Map-based Multi-Document Summarization (N19-1)
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| Challenge: | Concept map-based multi-document summarization is a subtask of CM-MDS that requires a pairwise comparison to improve the summary quality. |
| Approach: | They propose to use locality sensitive hashing, approximate nearest neighbor search and a fast clustering algorithm to group concepts into a single concept map. |
| Outcome: | The proposed methods exhibit linear and log-linear runtime complexity, making them much more scalable. |
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