30.4803, Calls: English; Writing Systems/Spain

LINGUIST List: Vol-30-4803. Mon Dec 23 2019. ISSN: 1069 - 4875.

Subject: 30.4803, Calls: English; Writing Systems/Spain

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Date: Mon, 23 Dec 2019 23:52:55
From: AHMED GHASSAN TAWFIQ ABURA'ED [[email protected]]
Subject: Financial Narrative Summarisation Shared Task

 
Full Title: Financial Narrative Summarisation Shared Task 
Short Title: FNS-2020 

Date: 13-Sep-2020 - 13-Sep-2020
Location: Barcelona, Spain 
Contact Person: AHMED ABURA'ED
Meeting Email: [email protected]
Web Site: http://wp.lancs.ac.uk/cfie/fns2020/ 

Linguistic Field(s): Writing Systems 

Subject Language(s): English (eng)

Call Deadline: 06-Apr-2020 

Meeting Description:

Shared Task Description: 

The Structure-based Financial Narrative Summarisation (SB-FNS) aims to
demonstrate the value and challenges of applying automatic text summarisation
to financial text written in English, usually referred to as financial
narrative disclosures. The task dataset has been extracted from UK annual
reports published in PDF file format. The participants will be asked to
provide structured summaries, based on real-world, publicly available
financial annual reports of UK firms by extracting information from different
key sections. Participants will be asked to generate summaries that reflects
the analysis and assessment of the financial trend of the business over the
past year, as provided by annual reports. The evaluation of the summaries will
be performed using AutoSummENG and Rouge automatic metrics.

The shared task requires extraction from different key sections found in the
annual reports produced by UK firms listed on The London Stock Exchange (LSE).
Those sections are usually referred to as “narrative sections” or “front-end”
sections and they usually contain textual information and reviews by the
firm’s management and board of directors. Sections containing financial
statements in terms of tables and numbers are usually referred to as
“back-end” sections and are not supposed to be part of the narrative
summaries. UK annual reports are lengthy documents with around 80 pages on
average, some annual reports could span over more than 250 pages, making the
summarisation task a challenging but an academically interesting one.
For the purpose of this task we will ask the participants to produce one
summary for each annual report. The summary length should not exceed 1000
words. We advise that the summary is generated/extracted based on the
narrative sections, therefore the participating summarisers need to be trained
to detect narrative sections before creating the summaries. The MultiLing team
along with help from Barcelona’s UPF summarisation team will help in
organising the shared task including the generation of the evaluation results
and final proceedings. The MultiLing team have a rich experience in organising
summarisation tasks since 2011.


Call for participation: 

FNS-2020: Financial Narrative Summarisation shared task
Held at COLING 2020 conference as part of the 1st FNP-FNS 2020 workshop.
SEPTEMBER 13, 2020, BARCELONA

Shared Task URL: http://wp.lancs.ac.uk/cfie/fns2020/
Workshop URL: http://wp.lancs.ac.uk/cfie/fnp2020/
Participation Form: http://bit.ly/34xWCCp

Participants should fill this short form to register to the task of interest.
Registration will result in subscription to the task's mailing list. To
register for multiple tasks, repeat the above registration process for each
task of interest. 

__

Important dates:

  December 1st, 2020: Registration opens.
  February 17th, 2020: Release of training set.
  March 23rd, 2020: Release of test set.
  April 6th, 2020: Registration deadline.
  April 13th, Submission deadline.
  May 1st, 2020: Release of results.
  Sep 13th, 2020: Workshop day.
__

Contact:
For any questions on the shared task please contact us on:
[email protected]
__

Shared Task Co-Organisers:
- Ahmed AbuRa’ed (Universitat Pompeu Fabra).
- Nikiforos Pittaras (NCSR, Demokritos).
- Marina Litvak (Sami Shamoon College of Engineering).
- George Giannakopoulos (SKEL Lab – NCSR Demokritos).
- Mahmoud El-Haj (Lancaster University)




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