In 2016 I finished my Computer Science thesis: an automatic summarizer for Brazilian Portuguese news called ConceptRank. The idea was to take LexRank, a classic method that builds a graph of sentences and picks the most “central” ones, and replace its sentence similarity with a concept-based one that should cope better with synonyms and spelling variants. I evaluated it on CSTNews, a corpus of 50 clusters of news articles, with the ROUGE metric. The result: ConceptRank beat LexRank and CSTSumm, a system from the literature.
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