- From: Hugh Glaser <hg@ecs.soton.ac.uk>
- Date: Sat, 26 Oct 2013 14:59:56 +0000
- To: Michele Catasta <michele.catasta@epfl.ch>
- CC: Linking Open Data <public-lod@w3.org>, Alberto Tonon <alberto.tonon@exascale.info>, Gianluca Demartini <demartini@exascale.info>, Philippe Cudre-Mauroux <phil@exascale.info>
Hi Michele, Looks exciting. I wanted to have a go, but... Can you help me find the documentation please? I am a newby for quite a bit of this - not a great github user, and never used scala before, so I am probably missing something obvious, but was prompted to try because of the "exhaustive documentation” that would help me! Best Hugh On 23 Oct 2013, at 01:48, Michele Catasta <michele.catasta@epfl.ch> wrote: > TRank is a pipeline that, given a textual/HTML document as input, > performs named-entity recognition, entity linking/disambiguation, and > entity type ranking/selection from a variety of type hierarchies > including DBpedia, YAGO, and schema.org. > > TRank has been nominated as best paper at ISWC2013. > We have now released TRank open-source for others to use: > https://github.com/MEM0R1ES/TRank > > It provides good test coverage, continuous build, and exhaustive > documentation. You can use it as is, or easily integrate your own > entity type ranking algorithm to compare against or to build on top of > TRank. Bug reports and pull requests are welcome! > > We also recommend to watch/star the GitHub repository, as we will be > releasing soon the MapReduce implementation of TRank. > > > -- > Best, > Michele > > -- Hugh 023 8061 5652
Received on Saturday, 26 October 2013 15:00:33 UTC