Bibliographie
*FinNLP-2019 : The First Workshop on Financial Technology and Natural
Language Processing*
*Macao, China, August 10-12, 2019*
*In conjunction with IJCAI-2019 <https://ijcai19.org/> *
Workshop website
https://sites.google.com/nlg.csie.ntu.edu.tw/finnlp/home
Submission link
https://easychair.org/conferences/?conf=finnlp2019
Submission deadline April 12, 2019
The aim of this workshop is to provide a forum where international
participants can share knowledge on applying NLP to the Financial
Technology (FinTech) domain. Recently, in the financial fields, FinTech
is a new industry that focuses on improving financial activity with
technology. Thus, in order to bridge the gap between the NLP researches
and the financial applications, we plan to organize, FinNLP, a workshop
on FinTech and NLP. With the sharing of the researchers in FinNLP, the
challenging problems of blending FinTech and NLP will be identified, and
the future research direction will be shaped. That can broaden the scope
of this interdisciplinary research area.
We invite submissions of research papers on all topics related to NLP
for Financial Technology (FinTech) applications. Besides, one of our
goals of this workshop is to foster collaboration between researchers
and developers from computational linguistics and finance and economic
areas. Original studies reporting joint work are therefore especially
encouraged. Topics of interest include, but are not limited to :
- Text-based Market Provisioning
- NLP-based Investment Management
- Crowdfunding Analysis with Text Data
- Text-oriented Customer Preference Analysis
- Insurance Application with Textual Information
- NLP-based Know Your Customer (KYC) Approach
- Applications or Systems for FinTech with NLP Methods
*The FinSBD-2019 Shared Task : Sentence Boundary Detection in PDF Noisy
Text in the Financial Domain*
In this shared task, we focus on extracting well segmented sentences
from Financial prospectuses by detecting their boundaries. These are
official PDF documents in which investment funds precisely describe
their characteristics and investment modalities. The most important step
of extracting any information from these files is to parse them to get
noisy unstructured text, clean it, format information (by adding several
tags) and finally, transform it into semi-structured text, where
sentence boundaries are well marked.
For more details about FinSBD-2019 Shared Task :
https://sites.google.com/nlg.csie.ntu.edu.tw/finnlp/shared-task-finsbd
*Submission Guidelines*
- *Regular Paper* : 6 pages for the main text + 1 additional page for
references
- *Short Paper and Demo Paper* : 2 pages for the main text + 1
additional page for references
For Formatting Guidelines, LaTeX Styles and Word Template, see more
information on https://www.ijcai.org/authors_kit
Submitted papers must be formatted according to IJCAI guidelines and
submitted electronically through the FinNLP-2019 paper submission site.
Full instructions including formatting guidelines and electronic
templates are available on the IJCAI-19 website. Submissions must be in
electronic form using the FinNLP-2019 paper submission software linked
above. At least one author of each accepted paper is required to attend
the workshop to present the work. Authors will be required to agree to
this requirement at the time of submission.
*List of Topics*
We invite submissions of research papers on all topics related to NLP
for Financial Technology (FinTech) applications. Besides, one of our
goals of this workshop is to foster collaboration between researchers
and developers from computational linguistics and finance and economic
areas. Original studies reporting joint work are therefore especially
encouraged. Topics of interest include, but are not limited to :
- Text-based Market Provisioning
- NLP-based Investment Management
- Crowdfunding Analysis with Text Data
- Text-oriented Customer Preference Analysis
- Insurance Application with Textual Information
- NLP-based Know Your Customer (KYC) Approach
- Applications or Systems for FinTech with NLP Methods
*Committees*
*Program Committee*
- Paulo Alves (Universidade Católica Portuguesa)
- Avi Arampatzis (Democritus University of Thrace)
- Alexandra Balahur (European Commission’s Joint Research Centre)
- Paul Buitelaar (Insight Centre for Data Analytics at NUIG)
- Damir Cavar (Indiana University)
- Sunandan Chakraborty (Indiana University)
- Brian Davis (Maynooth University)
- Sira Ferradans (Fortia Financial Solutions)
- André Freitas (The University of Manchester)
- Houda Bouamor (Fortia Financial Solutions)
- Els Lefever (Ghent University)
- Sheng Li (University of Georgia)
- Nedim Lipka (Adobe Inc.)
- Heiner Stuckenschmidt (University of Mannheim)
- Ming-Feng Tsai (National Chengchi University)
- Chuan-Ju Wang (Academia Sinica)
- Wlodek Zadrozny (University of North Carolina in Charlotte)
- Manel Zarrouk (Insight Centre for Data Analytics at NUIG)
*Organizing committee*
- Hsin-Hsi Chen, Department of Computer Science and Information
Engineering, National Taiwan University.
- Hiroya Takamura, Tokyo Institute of Technology.
- Hen-Hsen Huang, Department of Computer Science and Information
Engineering, National Taiwan University.
- Chung-Chi Chen, Department of Computer Science and Information
Engineering, National Taiwan University.
*Venue*
The conference will be held in Macao, China with IJCAI-2019
*Contact*
All questions about submissions should be emailed to
finnlp@nlg.csie.ntu.edu.tw