Overview of the Summarize tool

The Summarize Tool will create summaries of either one or multiple documents based on either the abstract(s) or the full text(s). The summary that the machine produces is an abstractive one, meaning that the machine writes the summary completely on its own and does not just copy paste parts of the texts together. For the multi-doc-summary, the tool will summarize the parts that the documents have in common (for instance a specific topic).

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You can use the Summarization tool: - To skim the content of your documents faster; - to quickly get an overview of the research; - or to kick off your scientific writing process;

The summarization that Iris.ai uses is an abstractive summarization. This means the tool captures the context of the text and in essence writes its own summary - it does not just copy paste parts of the texts together, which is called extractive summaries. The machine-generated summary thus contains new phrases and sentences that may not appear in the source text.

To use the Summarization tool, open a dataset and click on the Summarize tool in the right hand menu. Here you will have your summarization menu available, as well as all summaries you’ve created in this dataset in the past.

There are three options available for summaries: The full text of one document - the abstracts of multiple documents, or the full text of multiple documents.

To create a summary, mark one or multiple articles and choose the type of summary you want to generate. Depending on the size of the document might take a few seconds or more to be written. The summary will load alongside the links to the documents summarized.

When choosing multi-document summarization, be mindful that they should be about a similar topic for the summary to make sense.

To summarize the full text, make sure the full text is actually available to you. It is indicated by the document icon next to the title of the article. If the machine doesn't have access to the full-text, then the "full-text summary" button is disabled.

The list of summaries will be readily available when you click on the Summarize tool (on the right hand side tools panel). You can browse through every summary ever created for a particular dataset.