berkeley-doc-summarizer
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gregdurrett
The Berkeley Document Summarizer is a learning-based, single-document summarization system that extracts source document content, exploits syntactic information to compress it, and uses coreference co...
Thanks for your code sharing. Can you tell me what should I put into `train_corefner_standoff` and `train_abstracts_standoff` directory?
Hi, I am trying to use your summarizer and refer your paper in my paper, but I got an exception as the following: I am using mac os. I am...
Your instructions mention: > To prepare the dataset, first you need to extract all the XML files from 2003-2007 and flatten them into a single directory Is 2003-2007 referring to...
Hi @gregdurrett I am currently using the Entity Preprocessing Driver main method to turn my regular .txt files into the (Conll?) format understood by this summarizer however I am getting...
Kindly share a demo link of your project. I would like to test the summarization. Please let me know where I can get to see your project demo. Thank you...
Alex
The joint model (COREF+NER+WIKI) of the Berkeley Entity Resolution System combines the output for all input documents (e.g. government.txt and music.txt) into a single file output.conll. While the output produced...
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The Berkeley Document Summarizer is a learning-based, single-document summarization system that extracts source document content, exploits syntactic information to compress it, and uses coreference co...