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GERBIL

Production-ready project (September 2014 - Ongoing)

General Entity Annotation Benchmark Framework

About the project

GERBIL is a general Linked Data benchmarking system (formerly used for entity annotation systems based on the BAT-Framework). GERBIL offers an easy-to-use web-based platform for the agile comparison of annotators using multiple datasets and uniform measuring approaches. To add a tool to GERBIL, all the end user has to do is to provide a URL to a REST interface to its tool which abides by a given specification. The integration and benchmarking of the tool against user-specified datasets is then carried out automatically by the GERBIL platform.

Available Annotators

BAT-FRAMEWORKGERBIL 1.0.0GERBIL1.2.5ExperimentPaper
AGDISTIS (✔) D2KB Link
AIDA A2KB Link
Babely A2KB Link
CETUS OKE Task 2 Link
CETUS (FOX) OKE Task 2 Link
DBpedia Spotlight A2KB Link
Dexter A2KB Link
DoSeR (*) D2KB Link
entityclassifier.eu NER A2KB Link
FOX OKE Task 1 Link
FRED OKE Task 1 Link
FREME NER OKE Task 1 Link
KEA A2KB Link
NERD-ML A2KB Link
NERFGUN D2KB Link
OpenTapioca A2KB Link
PBOH D2KB Link
TagMe 2 A2KB Link
WAT A2KB Link
xLisa A2KB Link

(*) Annotator isn't available any more

Supported Experiments for each Annotator

The following table lists the annotators that are currently available and the experiment types they support. Note that some of the A2KB annotators support the D2KB experiment by offering an own API method. Other A2KB annotators can be chosen for a D2KB experiment as well as described in the wiki. However, since the comparison might not be fair, we marked these annotators with (✔) in the table. The same is done for Entity Typing.

A2KB, C2KB, Entity Recognition D2KB Entity Typing OKE TASK 1 OKE TASK 2 RT2KB RE
AGDISTIS
AIDA (✔)
Babely
CETUS
CETUS (FOX)
DBpedia Spotlight
Dexter (✔)
DoSeR (*)
entityclassifier.eu NER (✔)
FOX (✔) (✔)
FRED (✔) (✔)
FREME NER
KEA
NERD-ML (✔)
NERFGUN
OpenTapioca
PBOH
TagMe 2 (✔)
WAT
xLisa (✔)

(*) Annotator isn't available any more

Available Datasets

The following table lists the datasets that are currently available and the experiment types they support.

A2KB, C2KB, D2KB, Entity Recognition Entity Typing OKE TASK 1 OKE TASK 2 RT2KB RE Paper
ACE2004 Link
AIDA/CoNLL-Complete Link
AIDA/CoNLL-Test A Link
AIDA/CoNLL-Test B Link
AIDA/CoNLL-Training Link
AQUAINT -
CoNLL2003 Link
DBpediaSpotlight Link
Derczynski Link
ERD2014 Link
GERDAQ-Dev Link
GERDAQ-Test Link
GERDAQ-TrainingA Link
GERDAQ-TrainingB Link
IITB Link
KORE50 Link
MSNBC Link
Microposts2013-Test Link
Microposts2013-Train Link
Microposts2014-Test Link
Microposts2014-Train Link
Microposts2015-Test Link
Microposts2015-Train Link
Microposts2016-Test Link
Microposts2016-Train Link
N3-RSS-500 Link
N3-Reuters-128 Link
OKE 2015 Task 1 Link
OKE 2015 Task 2 Link
OKE 2016 Task 1 Link
OKE 2016 Task 2 Link
OKE 2017 Task 1 Link
OKE 2017 Task 2 Link
OKE 2017 Task 3 Link
OKE 2018 Task 1 Link
OKE 2018 Task 2 Link
OKE 2018 Task 3 Link
OKE 2018 Task 4 Link
Ritter Link
Senseval 2 Link
Senseval 3 Link
UMBC-Test Link
UMBC-Train Link
WSDM 2012 Link

Long term stability

The idea of GERBIL emerged in September 2014 when a couple of articles released at the same time claimed to be state-of-the-art. Especially, those approaches were not easily comparable due to their heterogeneous set-up, dataset use and evaluation metrics. Thus, we decided to build GERBIL and extend the BAT-Framework to break the barriers for people not able to write source code.

GERBIL is now more than 3 years old and has hosted more than 50.000 experiments. It is currently hosted at the research and development unit of the University Leipzig Computation Center and the Paderborn University which keep daily backups to ensure long-term quotability.

The survey data from our paper can be found at GERBIL's GitHub repository.

Contributors

The main developer of the project is Michael Röder.

We thank Ricardo Usbeck for the initial creation of the project and the development of the main idea. We also thank Lixi Conrads for the large amount of development that they invested into the project.

Other people who contributed to the project are (in alphabetic order):

  • Ciro Baron (University Leipzig, Germany)
  • Lukas Blübaum (DICE group, Germany)
  • Andreas Both (R&D, Unister GmbH, Germany)
  • Martin Brümmer (University Leipzig, Germany)
  • Diego Ceccarelli (Unversity Pisa, Italy)
  • Marco Cornolti (University of Pisa, Italy)
  • Didier Cherix (R&D, Unister GmbH, Germany)
  • Bernd Eickmann (R&D, Unister GmbH, Germany)
  • Paolo Ferragina (University of Pisa, Italy)
  • Christiane Lemke (R&D, Unister GmbH, Germany)
  • Andrea Moro (Sapienza University of Rome, Italy)
  • Roberto Navigli (Sapienza University of Rome, Italy)
  • Francesco Piccinno (University of Pisa, Italy)
  • Giuseppe Rizzo (EURECOM, France)
  • Harald Sack (HPI Potsdam, Germany)
  • René Speck (DICE group, Germany)
  • Nikit Srivastava (DICE group, Germany)
  • Raphaël Troncy (EURECOM, France)
  • Jörg Waitelonis (HPI Potsdam, Germany)
  • Lars Wesemann (R&D, Unister GmbH, Germany)

We also thank all the contributers on Github.

Maintainer
Michael Röder

Publications

No papers found