[Corpora-List] 1st CfP: Financial Narrative Processing Workshop (FNP) at LREC 2018

Stefan Evert stefanML at collocations.de
Thu Nov 9 09:38:20 CET 2017

FNP 2018 – Call For Papers

The First Financial Narrative Processing Workshop (FNP 2018)

at LREC 2018 (Myiazaki, Japan)

IMPORTANT DATES Nov 2, 2017: First Call for Workshop Papers Dec 7, 2017: Second Call for Workshop Papers Jan 15, 2018 (Midnight PST): Workshop Paper Due Date Feb 15, 2018: Notification of Acceptance Mar 5, 2018 (Midnight PST): Camera Ready Papers Mar 15, 2018 Workshop Schedule Monday May 7, 2018: Workshop Date (afternoon half-day session).

WORKSHOP HOMEPAGE http://wp.lancs.ac.uk/cfie/fnp2018/

WORKSHOP 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.

ORGANIZING COMMITTEE General Chairs: Dr Mahmoud El-Haj, and Dr Paul Rayson (SCC, Lancaster University, UK) Program Chair: Prof Steve Young (LUMS, Lancaster University, UK) Publication Chair: Andrew Moore (SCC, Lancaster University, UK) Publicity Chairs: Prof Stefan Evert (CS, Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany), and Dr Catherine Salzedo (LUMS, Lancaster University, UK)

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.


- Ahmet Aker (Sheffield University, UK)

- André Freitas (University of Passau, Germany)

- Andrew Moore (SCC, Lancaster University)

- Antonio Mereno Sandoval (UAM, Spain)

- Catherine Salzedo (LUMS, Lancaster University)

- Denys PROUX (Naver Labs)

- George Giannakopoulos (SKEL Lab – NCSR Demokritos, Greece)

- Jan Hajič (UFAL, Czech Republic)

- Mahmoud El-Haj (SCC, Lancaster University)

- Marina Litvak (Sami Shamoon College of Engineering)

- Martin Walker (University of Manchester, UK)

- Matthew Coole (SCC, Lancaster University)

- Paul Rayson (SCC, Lancaster University)

- Scott Piao (SCC, Lancaster University)

- Simonetta Montemagni (Istituto di Linguistica Computazionale – ILC, Italy)

- Stefan Evert (CS, Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany)

- Steve Young (LUMS, Lancaster University)

- Vasiliki Athanasakou (LSE, UK)

Best Regards, FNP 2018 Organising Committee

More information about the Corpora mailing list