28.5281, Calls: Computational Linguistics, Discourse Analysis/Japan

Wed Dec 13 18:09:24 UTC 2017

LINGUIST List: Vol-28-5281. Wed Dec 13 2017. ISSN: 1069 - 4875.

Subject: 28.5281, Calls: Computational Linguistics, Discourse Analysis/Japan

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Date: Wed, 13 Dec 2017 13:09:16
From: Stefan Evert [stefan.evert at fau.de]
Subject: 1st Financial Narrative Processing Workshop

Full Title: 1st Financial Narrative Processing Workshop 
Short Title: FNP 2018 

Date: 07-May-2018 - 07-May-2018
Location: Miyazaki, Japan 
Contact Person: Mahmoud El-Haj
Meeting Email: m.el-haj at lancaster.ac.uk
Web Site: http://wp.lancs.ac.uk/cfie/fnp2018/ 

Linguistic Field(s): Computational Linguistics; Discourse Analysis 

Call Deadline: 15-Jan-2018 

Meeting Description:

The 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).
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. In recent years, previous manual small-scale
research in the Accounting and Finance literature has been scaled up with the
aid of NLP and ML methods, for example to examine approaches to retrieving
structured content from financial reports, and to study the causes and
consequences of corporate disclosure and financial reporting outcomes. One
focal point of the proposed workshop is to develop a better understanding of
the determinants of financial disclosure quality and the factors that
influence the quality of information disclosed to investors beyond the
quantitative data reported in the financial statements. The workshop will also
encourage efforts to build resources and tools to help advance the work on
financial narrative processing (including content retrieval and
classification) due to the dearth of publicly available datasets and the high
cost and limited access of content providers. The workshop aims to advance
research on the lexical properties and narrative aspects of corporate
disclosures, including glossy (PDF) annual reports, US 10-K and 10-Q financial
documents, corporate press releases (including earning announcements),
conference calls, media articles, social media, etc.

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, contextualize results,
explain governance arrangements, describe corporate social responsibility
policy, and provide forward-looking information for investors. They also
provide management with an opportunity to obfuscate accounting results and
manipulate readers’ perceptions of underlying economic performance.

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 detection,
chunking, parsing, semantic role labelling, sentiment analysis, document
quality and advanced readability metrics etc.
  - Financial narratives resources: dictionaries, annotated data, tools and
technologies etc.
  - Given the international nature of LREC, we particularly welcome FNP papers
reporting non-English and multilingual research, describing the different
regulatory regimes within which companies operate internationally.

Submissions may include work in progress as well as finished work. Submissions
must have a clear focus on specific issues pertaining to the financial
narrative processing whether it is English or multilingual. Descriptions of
commercial systems are welcome but authors should be willing to discuss the
details of their work. Dual submissions should be disclosed at time of
submission.

When submitting a paper from the START page, authors will be asked to provide
essential information about resources (in a broad sense, i.e. also
technologies, standards, evaluation kits, etc.) that have been used for the
work described in the paper or are a new result of your research. Moreover,
ELRA encourages all LREC authors to share the described LRs (data, tools,
services, etc.) to enable their reuse and replicability of experiments
(including evaluation ones).

Describing your LRs in the LRE Map is now a normal practice in the submission
procedure of LREC (introduced in 2010 and adopted by other conferences). To
continue the efforts initiated at LREC 2014 about “Sharing LRs” (data, tools,
web-services, etc.), authors will have the possibility,  when submitting a
paper, to upload LRs in a special LREC repository.  This effort of sharing
LRs, linked to the LRE Map for their description, may become a new “regular”
feature for conferences in our field, thus contributing to creating a common
repository where everyone can deposit and share data.

As scientific work requires accurate citations of referenced work so as to
allow the community to understand the whole context and also replicate the
experiments conducted by other researchers, LREC 2018 endorses the need to
uniquely Identify LRs through the use of the International Standard Language
Resource Number (ISLRN, www.islrn.org), a Persistent Unique Identifier to be
assigned to each Language Resource. The assignment of ISLRNs to LRs cited in
LREC papers  will be offered at submission time.

Paper Submission Instructions:

Paper Length: Submissions are expected to be between a minimum of 4 and a
maximum of 8 pages in length.

Submission Format: Please check LREC author’s kit page for more details.
Papers that do not conform to these requirements will be rejected without
review. http://lrec2018.lrec-conf.org/en/submission/authors-kit/

Submission Website: https://www.softconf.com/lrec2018/FNP2018/

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