[Corpora-List] eHealth-KD 2020: Only one week to get started! - Novelties COVID19 documents to KD

Yoan Gutiérrez ygutierrez at dlsi.ua.es
Mon Mar 30 20:34:37 CEST 2020


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****We apologize for the multiple copies of this e-mail******

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Call for Participation ---ALTERNATIVE SCENARIO DEVELOPMENT DATASET

READY---  (*/only one week to get started!/*)

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*eHealth-KD 2020: eHealth Knowledge Discovery*

*Webpage*: https://knowledge-learning.github.io/ehealthkd-2020/

*Competition

environment:*https://competitions.codalab.org/competitions/23454

*Datasets and

tools:*https://github.com/knowledge-learning/ehealthkd-2020/tree/master/data

/Held as part of the evaluation forum IberLEF in the XXXVI edition

of the International Conference of the Spanish Society for Natural

Language Processing (SEPLN 2020). September 22-25, 2020. Málaga, Spain./

*/Novelties/*/:

/

* /*COVID19 *//related //documents will be played. The KD

community joins forces to face this pandemic!

/

* /an additional *ensemble dataset*

<https://github.com/knowledge-learning/ehealthkd-2020/tree/master/data/ensemble>

is provided.

/

* /to experience with *transfer learning techniques* a

//*development dataset*

<https://github.com/knowledge-learning/ehealthkd-2020/tree/master/data/development/transfer>

of an alternative domain (not health related) is provided./

eHealth-KD 2020 challenge, as part of the IberLEF 2020 Workshop,

proposes in its third edition modelling the human language in a

scenario in which electronic health documents could be machine

readable from a semantic point of view. With this task, it is

expected to encourage the development of software technologies to

automatically extract a large variety of knowledge from electronic

Health documents written in the *Spanish Language*.

 This involves two subtasks:

1. Entity recognition

<https://knowledge-learning.github.io/ehealthkd-2020/tasks#subtask-a-entity-recognition>

2. Relation extraction

<https://knowledge-learning.github.io/ehealthkd-2020/tasks#subtask-b-relation-extraction>

The challenge will be managed and played by means of the Codalab

Competitions platform. In addition, the Organization Committee of

eHealth-KD encourages participants to submit a description paper of

their systems. Submitted papers will be reviewed by a scientific

committee, and only accepted papers will be *published at CEUR*. The

proceedings of eHealth-KD will be jointly published with the

proceedings of all the tasks of IberLEF 2020. The submitted *papers*

will be *peer-reviewed* by a Program Committee which is composed by

all the participants in the task eHealth-KD and the Organization

Committee.

We encourage the entire research community and especially those

groups working in *knowledge discovery* and *transfer

learning* technologies to participate in this task. If you are

interested in participating, please browse the following link

https://knowledge-learning.github.io/ehealthkd-2020/.

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HOW TO PARTICIPATE

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1. *Join the Google Group* *(ACTIVE)* for the task:

_https://groups.google.com/forum/#!forum/ehealth-kd_

2. *Download the datasets(ACTIVE)***, examples, scoring scripts and

baselines (if needed) from:

https://github.com/knowledge-learning/ehealthkd-2020/tree/master/data and

fill the following form: https://forms.gle/pUJutSDq2FYLwNWQA

3. *TRAIN your system (ACTIVE)*: Train your models and evaluate your

approach by using the evaluation scripts provided at:

https://github.com/knowledge-learning/ehealthkd-2020

4. *TUNE your Transfer Learning system*: *(ACTIVE)*: An alternative

scenario development dataset is ready to be used and played at the

eHealth-KD Codalab competition environment:

https://github.com/knowledge-learning/ehealthkd-2020/tree/master/data/development

5. *Register at ***(***ACTIVE***)*:

*https://competitions.codalab.org/competitions/23454

6.*   TEST your system***(*... in one week***)**: Submit your

results on the test sets at:

https://competitions.codalab.org/competitions/23454

7. *Submit your working notes*. More details in

https://knowledge-learning.github.io/ehealthkd-2020/#Publication%20instructions

8. *Come to  Málaga//*/September 22, 2020 /to attend the discussion

of the results of IberLEF evaluation campaigns at a workshop

collocated with SEPLN 2020.

IMPORTANT DATES

=======================================================================

Schedule

*Date*

*Event*

03 Feb 2020

Training and development data ready

*(ACTIVE)*

30 Mar 2020

Alternative scenario development data ready*(ACTIVE)*

06 Apr 2020

*Evaluation start*

Test data released

19 Apr 2020

*Evaluation end*

(due by 23:59 UTC)

19 Apr 2020

*Registration deadline*

(due by 23:59 UTC)

24 Apr 2020

Results posted

08 May 2020

System description paper submissions

(due by 23:59 UTC)

22 May 2020

Paper reviews

29 May 2020

Author notifications

12 Jun 2020

Camera ready submissions

Sep 2020

IberLEF Workshop

//

//

/Lets do it!/

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