31.728, Calls: Applied Ling, Comp Ling, Text/Corpus Ling/Spain

[The LINGUIST List]

LINGUIST List: Vol-31-728. Wed Feb 19 2020. ISSN: 1069 - 4875.

Subject: 31.728, Calls: Applied Ling, Comp Ling, Text/Corpus Ling/Spain

Moderator: Malgorzata E. Cavar (linguist at linguistlist.org)
Student Moderator: Jeremy Coburn
Managing Editor: Becca Morris
Team: Helen Aristar-Dry, Everett Green, Sarah Robinson, Peace Han, Nils Hjortnaes, Yiwen Zhang, Julian Dietrich
Jobs: jobs at linguistlist.org | Conferences: callconf at linguistlist.org | Pubs: pubs at linguistlist.org

Homepage: http://linguistlist.org

Please support the LL editors and operation with a donation at:
           https://funddrive.linguistlist.org/donate/

Editor for this issue: Lauren Perkins <lauren at linguistlist.org>
================================================================


Date: Wed, 19 Feb 2020 11:46:03
From: Ahmed Abura'ed [ahmed.aburaed at upf.edu]
Subject: 1st Joint Workshop on Financial Narrative Processing and MultiLing Financial Summarisation (FNP-FNS 2020)

 
Full Title: 1st Joint Workshop on Financial Narrative Processing and MultiLing Financial Summarisation (FNP-FNS 2020) 
Short Title: FNP-FNS 2020 

Date: 13-Sep-2020 - 13-Sep-2020
Location: Barcelona, Spain 
Contact Person: AHMED ABURA'ED
Meeting Email: ahmed.aburaed at upf.edu
Web Site: http://wp.lancs.ac.uk/cfie/fnp2020/ 

Linguistic Field(s): Applied Linguistics; Computational Linguistics; Text/Corpus Linguistics 

Call Deadline: 06-Apr-2020 

Meeting Description:

The 1st Joint Workshop on Financial Narrative Processing and MultiLing
Financial Summarisation (FNP-FNS 2020)

Workshop Description:
This is the first joint workshop between FNP and MultiLing workshops
(http://multiling.iit.demokritos.gr/), both workshops have been running for
several years with great success.
The joint workshop will focus on the use of Natural Language Processing (NLP),
Machine Learning (ML), and Corpus Linguistics (CL) methods related to all
aspects of financial text mining and financial narrative processing (FNP) in
addition to demonstrating the value and challenges of applying summarisation
to multilingual financial text, usually referred to as financial narrative
disclosures. 
There is a growing interest in the application of automatic and computer-aided
approaches for extracting, summarising, and analysing both qualitative and
quantitative financial data. 

To be held at The 28th International Conference on Computational Linguistics
(COLING'2020), Barcelona, Spain on 13 September 2020.
Workshop URL: http://wp.lancs.ac.uk/cfie/fnp2020/

We introduce 3 shared tasks as follows:

1) Financial summarisation (FNS 2020), 
2) Financial Reports structure detection (FinTOC 2020),
3) Causality Identification in Financial documents (FinCausal 2020).

Links to shared tasks can be found on:
http://wp.lancs.ac.uk/cfie/shared-tasks/

MOTIVATION AND TOPICS OF INTEREST:
Financial narrative disclosures represent a large part of firms overall
financial communications with investors. 
Textual commentaries help to clarify issues obscured by complex accounting
methods and footnote disclosures. 
In addition, narratives summarise corporate strategy, contextualise results,
explain governance arrangements, describe corporate social responsibility
policy, and provide forward-looking information for investors.


Call for Contributions: 

News: The training data has been released. If you wish to access it, you need
to register to the shared task here: https://forms.gle/LFsVaw6DqYikhKHx9 

The FinTOC’2 shared task aims to bring together the community of researchers
interested in Financial Document Processing and Document Layout Analysis to
advance the state of the art in the automatic processing of financial
documents. This task focuses on the automatic generation of reports' Table Of
Contents (henceforth TOC), as it is a key building block in the semantic
analysis of financial documents. Generating the TOC requires detecting the
span of all document sections and subsections, identifying their titles, and
organising them into a hierarchy. It is a well-known fact that extracting
document structure is a key step in information processing. For example
sections can be used to determine areas where algorithms can be applied, such
as Information Extraction, thus reducing false positives rate and irrelevant
noise.

This is the second edition of the FinTOC shared task which will be held at
COLING 2020 in Barcelona (Spain) as part of the FNP-FNS 2020 workshop. Last
year’s edition received significant interest, particularly on the Title
Detection track. Our aim this year is to increase interest by:
- lowering the barriers to the entry to the TOC extraction track, and
- opening up the task to a new language: French. We are particularly
interested in systems which can be applied to both English and French
languages.

This second edition proposes two tracks: one track per language, and it will
score systems on both Title detection and TOC generation performance. We have
revised the task and greatly simplified data formats to make it as smooth as
possible for every interested researcher to participate and submit their
systems’ outputs at FinTOC’2.

Each of the participating teams will be asked to submit a short paper
describing their methods and solutions to be presented at the workshop.

To register your interest in participating in FinTOC’2 shared task please use
the following google form by no later than April 6th, 2020:
https://forms.gle/LFsVaw6DqYikhKHx9. Soon after, you will receive a link to
download the training data.

Important dates:
December 1, 2019: Registration opens.
February 17, 2020: Release of training set & scoring scripts.
March 23, 2020: Release of test set.
April 6, 2020: Registration deadline.
April 13, 2020: Submission deadline.
May 1, 2020: Release of results.
Sep 13, 2020: Workshop day.

Contact:
For any questions on the shared task please contact us at
fin.toc.task at gmail.com




------------------------------------------------------------------------------

***************************    LINGUIST List Support    ***************************
 The 2019 Fund Drive is under way! Please visit https://funddrive.linguistlist.org
  to find out how to donate and check how your university, country or discipline
     ranks in the fund drive challenges. Or go directly to the donation site:
               https://iufoundation.fundly.com/the-linguist-list-2019

                        Let's make this a short fund drive!
                Please feel free to share the link to our campaign:
                    https://funddrive.linguistlist.org/donate/
 


----------------------------------------------------------
LINGUIST List: Vol-31-728	
----------------------------------------------------------