FNP 2020

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

To be held at The 28th International Conference on Computational Linguistics (COLING’2020), Barcelona, Spain on 13 September 2020.

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).


Important Dates:

First call for workshop papers Dec 1, 2019
First call for shared task participants Dec 1, 2019
Second call for workshop papers Mar 18, 2020
Second call for shared task participants Mar 18, 2020
Shared task results due May 1, 2020
Shared task papers due May 15, 2020
Workshop papers due May 20, 2020
Notification of acceptance Jun 24, 2020
Camera-ready papers due Jul 11, 2020
Workshop and shared task dates Sep 13, 2020

Workshop Description:

This is the first joint workshop between FNP and MultiLing workshops, 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.

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.


Organising Committee:


Call For Papers

We invite submissions on topics that include, but are not limited to, the following:

  • Applying core technologies on financial narratives: morphological analysis, disambiguation, tokenization, POS tagging, named entity recognition, chunking, parsing, semantic role labelling, sentiment analysis, document quality and advanced readability metrics etc.
  • Using NLP to detect misreporting in relation to diversity and wellbeing on issues related to gender, ethnicity, women at work as well as employee mental health and stability.
  • Financial narratives resources: dictionaries, annotated data, tools and technologies etc.
  • Given the international nature of the conference, we particularly welcome FNP papers reporting non- English and multilingual research, describing the different regulatory regimes within which companies operate internationally.
  • Summarisation across domains and sources that are related to finance (e.g. company blogs, product reviews, market briefs, etc.), this includes financial multilingual and cross-lingual summarisation using single-document summarisation, multi-document summarisation, summarisation evaluation, headline generation, cross-domain/cross-topic summarisation.

Paper Submission Instructions:

Submission now open.

Submission URL:https://www.softconf.com/coling2020/FNP-FNS/

Submissions must describe substantial, original, completed and unpublished work. Wherever appropriate, concrete evaluation and analysis should be included. 

Submissions may consist of no less than four (4) and up to eight (8) pages of content, plus unlimited references.


Anti-Harassment Policy:
The workshop supports the ACL anti-harassment policy.


Programme Committee:

  •   Antonio Moreno Sandoval (UAM, Spain)
  •   Vasiliki Athanasakou (SMU, Canada)
  •   Ahmed AbuRa’ed (Universitat Pompeu Fabra, Spain), 
  •   Nikiforos Pittaras (NCSR, Demokritos).
  •   Catherine Salzedo (LUMS, Lancaster University, UK)
  •   Denys Proux (Naver Labs, Switzerland)
  •   George Giannakopoulos (SKEL Lab – NCSR Demokritos, Greece)
  •   Haithem Afli (Cork Institute of Technology, Ireland)
  •   Houda Bouamor (CMU, Qatar)
  •   Mahmoud El-Haj (SCC, Lancaster University, UK)
  •   Marina Litvak (Sami Shamoon College of Engineering, Israel)
  •   Martin Walker (University of Manchester, UK)
  •   Paul Rayson (SCC, Lancaster University, UK)
  •   Simonetta Montemagni (Istituto di Linguistica Computazionale – ILC, Italy)
  •   Sira Ferradans, France
  •   Dialekti Valsamou (Fortia Financial Solutions, France)
  •   Ismail El Maarouf (Fortia Financial Solution, France)
  •   Steven Young (LUMS, Lancaster University, UK) 
  •   Scott Piao (SCC, Lancaster University, UK)
  •   Mohan Subbiah (LUMS, Lancaster University, UK)
  •   Paulo Alves (Accounting, Universidade Católica Portuguesa, Portugal)
  •   Thomas Schleicher (MBA, Manchester University)
  •   Ana Gisbert (Accounting, UAM, Spain)
  •   Ans Elhag (Lancaster University, UK)
  •   John M. Conroy (IDA Center for Computing Sciences, USA)
  •   Elena Lloret (University of Alicante, Spain)
  •   Vangelis Karkaletsis (NCSR Demokritos)
  •   Mark Last (Ben-Gurion University of the Negev, Israel)
  •   Natalia Vanetik (Sami Shamoon College of Engineering, Israel)
  •   George Petasis (NCSR Demokritos, Greece)
  •   Peter Rankel (Elder Research Inc., USA)
  •   Remi Juge (Fortia Financial Solutions, France)
  •   Dominique Mariko (Yseop, France)
  •   Anubhav Gupta (Yseop, France)
  •   Hanna Abi-Akl (Yseop, France)
  •   Hugues de Mazancourt (Yseop, France)