FNP 2020 Shared Task Paper Submission Guidelines

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 12 December 2020 [New Date].

Submission now open.

 

Why Submit  a shared task paper:

Each team participating in any of the 3 Shared Tasks for FNP 2020 must submit a short paper.

  • The paper helps readers understand your methodology and verify your system.
  • Readers and other researchers will use your paper and system description to try and replicate your work.

Submission Format:

Authors should follow COLING 2020 format. Author kit can be found on: https://coling2020.org/pages/submission

Please follow the guidelines and use the COLING-2020 style files in coling2020.zip
It has LATEX files, Microsoft Word template file, and a sample PDF file.

Paper Length:

As this is a system description paper we require that your paper is up to 4 pages long plus any number of pages for references.

 

How to submit to a Shared-task:

To submit a paper click on Submission URL:https://www.softconf.com/coling2020/FNP-FNS/

In order to make sure your paper goes to the correct shared task track please make sure you select the correct Submission Type and Paper length when you try to submit your work.

For example if you are submitting a paper to the FNS summarisation shared task please select the submission type and make sure paper length is 4 pages. For main workshop submission you can submit either short or long papers:

Provisional Structure:

The following structure is just to help you organise your paper but you are free to choose a different one:

  • Abstract: up to 300 words highlighting your approach and key results.
  • Introduction: less than a page expanding on the abstract mentioning key background such as why the task is challenging for current modeling techniques and why your approach is interesting/novel.
  • Data: review of the data you used to train your system. Be sure to mention the size of the training, validation and test sets that you’ve used, and the label distributions, as well as any tools you used to pre-process the data.
  • System: a detailed description of how your system was built and trained. If you’re using a neural network, were there pre-trained embeddings, how was the model trained, what hyperparameters were chosen and experimented with? How long did the model take to train, and on what infrastructure? Linking to source code is valuable here as well, but the description should be able to stand alone as a full description of how to replicate the system.
  • Results: a description of the key results of the paper. If you have done extra error analysis into what types of errors the system makes, this is extremely valuable for the reader. Unofficial results from after the submission deadline can be very useful as well.
  • Discussion: general discussion of the task and your system. Description of characteristic errors and their frequency over a sample of development data. What would you do if you had another 3 months to work on it?
  • Conclusion: a restatement of the introduction, highlighting what was learned about the task and how to model it.

Citation and References to include in your paper:

Please cite the shared task paper in your system description (make sure you cite the relevant one only):

FNS-Summarisation 2020 shared task:

@inproceedings{elhaj-fns-2020, title ={{The Financial Narrative Summarisation Shared Task (FNS 2020)}}, author = {El-Haj, Mahmoud and AbuRa'ed, Ahmed and Litvak, Marina and Pittaras, Nikiforos and Giannakopoulos, George}, booktitle ={{The 1st Joint Workshop on Financial Narrative Processing and MultiLing Financial Summarisation (FNP-FNS 2020)}}, year = {2020}, address = {Barcelona, Spain} }

Fin-Causal 2020 Shared Task:

@inproceedings{Mariko-fincausal-2020, title ={{The Financial Document Causality Detection Shared Task (FinCausal 2020)}}, author = author = {Mariko, Dominique and Abi Akl, Hanna and Labidurie, Estelle and Durfort, Stephane and de Mazancourt, Hugues and El-Haj, Mahmoud}, booktitle ={{The 1st Joint Workshop on Financial Narrative Processing and MultiLing Financial Summarisation (FNP-FNS 2020)}}, year = {2020}, address = {Barcelona, Spain} }

 

Fin-Toc 2020 Shared Task:

@inproceedings{fintoc-2020, title ={{The Financial Document Structure Extraction Shared Task (FinToc 2020)}}, author = {Bentabet, Najah-Imane and Juge, Remi and El Maarouf, Ismail and Mouilleron, Virginie and Valsamou-Stanislawski, Dialekti and El-Haj, Mahmoud}, booktitle ={{The 1st Joint Workshop on Financial Narrative Processing and MultiLing Financial Summarisation (FNP-FNS 2020)}}, year = {2020}, address = {Barcelona, Spain} }

Financial Narrative Processing Workshops

Follow

Get every new post on this blog delivered to your Inbox.

Join other followers: