Evaluation/documentation

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(Biological Event Extraction)
(Fine-Grained Opinion Analysis)
 
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  sbatch /projects/ltg/epe/abel/tees -i <input> -o <output>
 
  sbatch /projects/ltg/epe/abel/tees -i <input> -o <output>
  
= Fine-Grained Opinion Analysis =
 
  
 
  * /projects/ltg/python/bin/python EvaluateEPE.py -i /projects/ltg/epe/2017/submissions/ecnu/00/events -o ~/epe/events/ecnu/00 -n 8
 
  * /projects/ltg/python/bin/python EvaluateEPE.py -i /projects/ltg/epe/2017/submissions/ecnu/00/events -o ~/epe/events/ecnu/00 -n 8
 +
 +
= Fine-Grained Opinion Analysis =
  
 
= Negation Resolution =
 
= Negation Resolution =

Latest revision as of 21:40, 8 July 2018

Contents

[edit] Background

This page provides instructions for how to invoke the EPE 2017 infrastructure for extrinsic (dependency) parser evaluation on the Abel system

[edit] Biological Event Extraction

The Turku Event Extraction System is installed from its GitHub development branch into /projects/ltg/epe/tees/. Assuming a directory structure containing a complete set of parser output files in EPE format, training and scoring can be invoked as follows

sbatch /projects/ltg/epe/abel/tees -i <input> -o <output>


* /projects/ltg/python/bin/python EvaluateEPE.py -i /projects/ltg/epe/2017/submissions/ecnu/00/events -o ~/epe/events/ecnu/00 -n 8

[edit] Fine-Grained Opinion Analysis

[edit] Negation Resolution

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