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Evaluation utilities for named entity linking and (cross-document) coreference resolution

Project Description

Entity linking evaluation

Python evaluation scripts for TAC entity linking and related wikification, named entity disambiguation, and within- and cross-document coreference tasks.

Requires that python (2.7, with Py3k support experimental/partial) be installed on your system with numpy (and preferably scipy for fast CEAF calculation) and joblib. matplotlib is required for the plot-systems command.

See a list of commands with:

./nel --help

Or install onto your Python path (e.g. with pip install git+ then

python -m neleval --help

TAC-KBP 2014 EDL quickstart

./scripts/ \
    /path/to/gold.xml \              # TAC14 gold standard queries/mentions
    /path/to/ \              # TAC14 gold standard link and nil annotations
    /system/output/directory \       # directory containing (only) TAC14 system output files
    /script/output/directory \       # directory to which results are written
    number_of_jobs                   # number of jobs for parallel mode

Each file in in the system output directory is scored against

Similar facility is available for TAC-KBP‘15 EDL.

More details

See the project wiki for more details.


This project extends the work described in:

It was used as the official scorer for Entity (Discovery and) Linking in 2014 and 2015:

  • Heng Ji, Joel Nothman and Ben Hachey (2014), “Overview of TAC-KBP2014 Entity Discovery and Linking Tasks”, In Proceedings of the Text Analysis Conference.
  • Heng Ji, Joel Nothman, Ben Hachey and Radu Florian (2015), “Overview of TAC-KBP2015 Tri-lingual Entity Discovery and Linking Tasks”, In Proceedings of the Text Analysis Conference.

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Filename, size & hash SHA256 hash help File type Python version Upload date
neleval-3.0.3.tar.gz (58.7 kB) Copy SHA256 hash SHA256 Source None Apr 27, 2016

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