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FinCausal 2020 : Second Call For Participation FinCausal 2020 Shared Task at FNP-FNS COLING 2020

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Link: http://wp.lancs.ac.uk/cfie/fincausal2020/
 
When Sep 13, 2020 - Sep 13, 2020
Where Barcelona
Abstract Registration Due Apr 19, 2020
Submission Deadline Apr 20, 2020
Final Version Due Jul 11, 2020
Categories    NLP   machine learning   deep learning   computational linguistics
 

Call For Papers

Second Call For Participation: FinCausal 2020 Shared Task at FNP-FNS COLING 2020

Please consider participating in FinCausal 2020 shared task.
The task focuses on Causality Identification in Financial documents as part of The 1st Joint Workshop on Financial Narrative Processing and MultiLing Financial Summarisation (FNP-FNS 2020), to be held at COLING'2020, Barcelona, Spain on 13 September 2020.

- Workshop URL: http://wp.lancs.ac.uk/cfie/fnp2020/
- Shared Task URL: http://wp.lancs.ac.uk/cfie/fincausal2020/
- Participation form: http://bit.ly/2qX9O5s

IMPORTANT DATES:
• First call for shared task participants Dec 1, 2019
• Release of Trial Data Feb 1, 2020
• Release of Training Data March 1, 2020
• Second call for shared task participants Mar 18, 2020
• Release of Test Data April 1, 2020
• Contributions from participants are expected April 20, 2020
• Shared task results due May 1, 2020
• Shared task papers due May 15, 2020
• Notification of acceptance Jun 24, 2020
• Camera-ready papers due Jul 11, 2020
• Workshop and shared task dates Sep 13, 2020

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SHARED TASK DESCRIPTION

This shared task proposes data to experiment on causality detection, and focuses on determining causality associated to an event or to transformations of financial objects.
The data are extracted from a corpus of 2019 financial news provided by QWAM http://www.qwamci.com/.
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SUBTASKS

The task contains two subtasks:
a) Sentence classification
This task is a binary classification task. The goal of this subtask is to filter sentences which display causal meanings (1) from the sentences that are noise in regard of causality (0)
b) Cause – effect detection
This task is a relation extraction task. The aim is to identify, in a text block defined as causal (causal sentence or paragraph), the substring displaying the cause and the substring describing the effect.

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DATASET
Two datasets, one for each sub-task, will be released as csv files in three parts each: trial set, training set and test set.

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ORGANISING TEAM:
- Dominique Mariko, Yseop
- Anubhav Gupta, Yseop
- Hanna Abi-Akl, Yseop
- Hugues de Mazancourt, Yseop

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CONTACT and REGISTRATION:
Participant can register to this shared task by filling the participation form, and get access to the datasets
For any questions please contact Organisers: fin.causal.task@gmail.com

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MORE DETAILS ON THE SUB-TASKS ON:
http://wp.lancs.ac.uk/cfie/fincausal2020/

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