About

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The FinIR 2020 workshop explores challenges and potential research directions about Information Retrieval (IR) in finance. The focus will be on stimulating discussions around the accessing, searching, filtering, and analyzing various financial documents, such as the financial reports, analyst reports, filling forms, and news reports, in various financial scenarios, such as banking, insurance, and investment. The workshop aims to bring together a diverse set of researchers and practitioners interested in investigating relevant topics.

FinIR 2020 welcomes theoretical, experimental, and methodological studies that aim to advance techniques of managing and understanding financial documents, as well as emphasize the applicability in practical applications. In addition, FinIR 2020 hosts a grand challenge on quantifying analyst reports and news reports in multiple languages for commodity price prediction.

FinIR'20 (co-located with SIGIR'20)
Xi'an
Shaanxi province
China

Program

8:30 - 8:35 Welcome and Opening
8:35 – 9:05 Invited Talk 1 by Dr. Edgar Meij (Bloomberg)
Search and Discovery for Finance video
9:05 – 9:35 Invited Talk 2 by Dr. Longbing Cao (University of Technology Sydney Australia)
Title: Cross-market High-dimensional Nonstationary Coupling Learning slides
9:35 - 10:05 Invited Talk 3 by Dr. Haiqin Yang (Ping An Life Insurance of China)
AI Technologies Empower Professional Services Insurance in Ping An Life slides
10:05 – 10:35 Invited Talk 4 by Dr. Ben Tan (WeBank)
Federated Recommender System slides
10:35 – 10:55 Introduction of Grand Challenge by Mr.Jiangeng Chang slides
10:55 – 11:10 Talk 1: Winner Solution 1 by team maimang slides
11:10-11:25 Talk 2: Winner Solution 2 by team USTC_我爱吃火锅 slides
11:25-11:40 Talk 3: Winner Solution 3 by team USTC_youdu slides
11:40 - 12:00 Discussion and Summarization

Call for Papers

We welcome contributions of regular papers from a wide range of topics, including but not limited to the following topics of interest:

1. Financial Information Filtering --- Research on delivering to financial practitioner the information that is relevant to them, such as:
   • Financial practitioner profiling
   • Financial recommendation
   • Financial topic distillation
   • Financial text quantification
2. Financial Search and Ranking --- Research on searching and ranking financial documents, such as:
   • Financial retrieval models
   • Financial query analysis
   • Financial ranking algorithms
3. Financial Semantics --- Research on financial content representation and content analysis, such as:
   • Financial representation learning
   • Financial question answering and dialog
   • Financial knowledge graph
4. Financial Applications --- Research on domain specific IR applications, such as:
   • Financial table retrieval
   • Number parsing
   • Numeric information extraction

PAPER SUBMISSION GUIDLINES

The maximum length of FinIR 2020 submission is 4 pages (plus up to 1 page of references). Each accepted paper will be presented in a plenary session.

FinIR 2020 submissions are double-blind. All papers will be peer reviewed by the program committee and judged by their relevance to the workshop, especially to the topics, and their potential to generate discussion. To facilitate interaction and simulate discussion, we limit the number of participants to 40. FinIR 2020 submissions should be prepared according to the standard double-column ACM SIG proceedings format. Additional information about formatting and style files is available on the ACM website. Papers must be submitted to easychair at submission site by 23:59, AoE (Anywhere on Earth) on May 31st (Abstract) and June 5th (Full-paper), 2020.

For inquires about the workshop and submissions, please email to finir2020@easychair.org

IMPORTANT DATES

All time are 23:59, AoE (Anywhere on Earth)
June 5, 2020: Submission due
June 15, 2020: Paper notification
June 30, 2020: Camera ready submission
July 30, 2020: Workshop day

Grand Challenge

FinIR 2020 hosts a grand challenge to facilitate landing IR techniques in practice. The grand challenge is focused on the commodity market with financial documents of news reports and analyst reports in multiple languages at scale. Commodities are homogeneous, tradable and widely used as the raw materials for industry, such as crude oil, steel, and agricultural products. Commodity prices are influenced by many factors such as economy development, trading policy, geopolitics, etc., which are recorded in relevant documents such as news reports and analyst reports. Mining influential factors from the streaming of these documents is of great practical value to predict the future price movement of commodity and facilitate various stake holders (e.g., factories) making profitable decisions in time.

The target of the grand challenge is to predict the price movement direction of a commodity at different time-horizons, such as 1-day, 20-day, and 60-day, by additionally analyzing the financial documents. The time-horizon is the number of trading days between the current trading day and the expected trading day. This competition mainly focuses on the six base metals: Copper, Aluminum, Lead, Nickel, Zinc and Tin. For details and registration of the challenge, please visit FinIR 2020 Grand Challenge .

Challenge Organizers

Jiangeng Chang (National University of Singapore, Singapore)
Jiaxian Guo (National University of Singapore, Singapore)
Shuai Huo (MegaTech.AI, Beijing, China)
Ritchie Ng (Hessian Private Limited, Singapore)

Organization

Workshop Co-Chairs

Fuli Feng (National University of Singapore, Singapore)
Cheng Luo (MegaTech.AI, Beijing, China)
Xiangnan He (University of Science and Technology of China, Hefei, China)
Yiqun Liu (Tsinghua University, Beijing, China)
Tat-Seng Chua (National University of Singapore, Singapore)

Program Committee Members

TBA