posted by organizer: dmariko || 10541 views || tracked by 16 users: [display]

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

FacebookTwitterLinkedInGoogle

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

Call For Papers

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

______________________________________________________________________

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/.
______________________________________________________________________

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.

______________________________________________________________________

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.

______________________________________________________________________

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

______________________________________________________________________

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

______________________________________________________________________

MORE DETAILS ON THE SUB-TASKS ON:
http://wp.lancs.ac.uk/cfie/fincausal2020/
and
https://drive.google.com/file/d/1LUTJVj9ItJMZzKvy1LrCTuBK2SITzr1z/view

Related Resources

GEM shared task 2024   GEM 2024 multilingual data-to-text and summarization shared task
ACM-Ei/Scopus-CCISS 2024   2024 International Conference on Computing, Information Science and System (CCISS 2024)
MLSP 2024   Multilingual Lexical Simplification Pipeline (MLSP) Shared Task @ 19th Workshop on Innovative Use of NLP for Building Educational Applications
IEEE COINS 2024   IEEE COINS 2024 - London, UK - July 29-31 - Hybrid (In-Person & Virtual)
KONVENS-ST/T/WS 2024   Call for Shared Task, Workshop and Tutorial Proposals @ KONVENS 2024
ECAI 2024   27th European Conference on Artificial Intelligence
IberLEF 2024   Call for Task Proposals - IberLEF 2024
JCICE 2024   2024 International Joint Conference on Information and Communication Engineering(JCICE 2024)
SMM4H 2024   The 9th Social Media Mining for Health Research and Applications Workshop and Shared Tasks — Large Language Models (LLMs) and Generalizability for Social Media NLP
Call For Papers Special Issue 2024   Smart Cities, innovating in the Transformation of Urban Environments