Skip to main content

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

Project description

Entity linking evaluation
=========================

Python evaluation scripts for [TAC](http://www.nist.gov/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:
```bash
./nel --help
```

Or install onto your Python path (e.g. with `pip install git+https://github.com/wikilinks/neleval`) then
```bash
python -m neleval --help
```

TAC-KBP 2014 EDL quickstart
===========================

```bash
./scripts/run_tac14_evaluation.sh \
/path/to/gold.xml \ # TAC14 gold standard queries/mentions
/path/to/gold.tab \ # 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 gold.tab.

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

More details
============

See [the project wiki](../../wiki) for more details.

References
==========

This project extends the work described in:

* Ben Hachey, Joel Nothman and Will Radford (2014), "[Cheap and easy entity evaluation](https://aclweb.org/anthology/P/P14/P14-2076)". In Proceedings of ACL.

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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

neleval-3.0.2.tar.gz (58.6 kB view details)

Uploaded Source

File details

Details for the file neleval-3.0.2.tar.gz.

File metadata

  • Download URL: neleval-3.0.2.tar.gz
  • Upload date:
  • Size: 58.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for neleval-3.0.2.tar.gz
Algorithm Hash digest
SHA256 922cf4325c92ad167e4b3a7463a60aa8916c6f3e5f65021d943aab509df7c5c7
MD5 92d3f88c005fdff749f41e77ab298cbb
BLAKE2b-256 4bf897c426cf9e4ac920d29126596066567d8c96921f3eb59d5a4b2aadd42631

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page