Do you know what impact "Multi-labelled classification using maximum entropy method" had on the scientific community? Find out.

Semantic Scholar team at
Thu Jun 16 23:28:27 UTC 2016 ,
Your paper “Multi-labelled classification using maximum entropy method” is now on Semantic Scholar and has 220 citations and a wealth of additional statistics and metadata produced by our software.

Learn more about the impact of your paper:

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What is a Semantic Scholar paper detail page?
As we index academic publications our software extracts and models the content using a variety of AI based techniques. This not only makes finding relevant research easier, but also allows our end-users to quickly extract important content without reading the full text.

Our paper detail page currently includes a list of figures found in the document, unique statistics, the publication's citations and references — and we're not stopping there. We're working hard to add features oriented towards making it easier for you to find high quality papers.

Take a look at the paper detail page and let us know mailto:feedback at what you think.
What is Semantic Scholar?
Semantic Scholar is a state-of-the-art academic search engine enabling researchers to “cut through the clutter” and find relevant academic publications faster. The site combines a targeted ranking function with custom extraction techniques enabling features like easy access to the figures in a document and the ability to quickly identify highly influential citations and references.

Semantic Scholar was launched in 2015 by the Allen Institute for Artificial Intelligence, a non-profit backed by Paul Allen with the intention of advancing AI research for the common good.
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Start by viewing your paper's details and letting us know mailto:feedback at of any inaccuracies or ways we can improve the page.

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