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The EXCITEMENT Open Platform (EOP) is a generic architecture and a comprehensive implementation for textual inference in multiple languages. The platform includes state-of-art algorithms, a large number of knowledge resources, and facilities for experimenting and testing innovative approaches.

This documentation is for the EOP developers only. In contrast users who want to use EOP as it is should use the documentation of the released EOP distributions that are available from: http://hltfbk.github.io/Excitement-Open-Platform/

Release Schedule

EOP 1.2.2

date: March 2015

new features:

• Scorer for evaluating multi-class classification problems (e.g. Entailment, Contradiction, Unknown).

TO DO:

• LAP based on DKPro 1.7 (Roberto, DKPro people) [working time:4, status: in progress]
  Description: moving to DKPro 1.7 allows to exploit DKPro improvements and using new tools/model for preprocessing.

• Scorer for evaluating multi-class classification problems (e.g. Entailment, Contradiction, Unknown). (Roberto) [working time:2, status: completed]

• Bulgarian pipeline (Iliana, Roberto) [working time:4, status: in progress]

  • moving CLARK (Bulgarian pipeline) data from lap/resources to a jar file and use it as a dependency
  • allowing CLARK to be used with EOPRunner from the command line

• removing src/site from the EOP project (Roberto) [working time:1, status: in progress]

• the issues tracker in GitHub seems to report a number of issues, some of which may be already been resolved. May we check? (Meni, Roberto) [working time:2, status: in progress]

• check if we can remove the directories derivbase, dewakdistributional-data-10k and dewakdistributional-data from the eop-resources file (they are already in GitHub). (Meni) [working time:1, status: in progress]

• AdArte EDA uses an alignment component that has been deprecated; using the new one. (Roberto) [working time:4, optional task, status: not planned]