EmircanAygun / ExtractiveSummarization

The task in this project is to convert the sentences in a given document into a graph structure and visualize this graph model. Then, an algorithm is expected to be developed that generates summaries using the nodes on the graph.

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ExtractiveSummarization

Common Crawl (42B tokens, 1.9M vocab, uncased, 300d vectors, 1.75 GB download) -> https://nlp.stanford.edu/data/glove.6B.zip

Apache Commons Math 4.0-beta1 -> https://dlcdn.apache.org//commons/math/binaries/commons-math4-4.0-beta1-bin.zip

gephi toolkit (0.10.0) -> https://gephi.org/toolkit/

Apache OpenNLP 2.2.0 -> https://www.apache.org/dyn/closer.cgi/opennlp/opennlp-2.2.0/apache-opennlp-2.2.0-bin.zip

en-ner-person.bin , en-ner-location.bin , en-ner-organization.bin , en-ner-time.bin , en-ner-date.bin -> https://opennlp.sourceforge.net/models-1.5/

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The task in this project is to convert the sentences in a given document into a graph structure and visualize this graph model. Then, an algorithm is expected to be developed that generates summaries using the nodes on the graph.


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Language:Java 100.0%