KDF '22: The AAAI-22 Workshop on Knowledge Discovery from Unstructured Data in Financial Services Vancouver, Canada, February 28-March 1, 2022 |
Conference website | https://aaai-kdf.github.io/kdf2022/ |
Submission link | https://easychair.org/conferences/?conf=kdf22 |
Abstract registration deadline | November 5, 2021 |
Submission deadline | November 12, 2021 |
Knowledge discovery from various data sources has gained the attention of many practitioners in recent decades. Its capabilities have expanded from processing structured data (e.g. DB transactions) to unstructured data (e.g. text, images, and videos). In spite of substantial research focusing on discovery from news, web, and social media data, its applications to datasets in professional settings such as legal documents, financial filings, and government reports, still present huge challenges. Possible reasons are that the precision and recall requirements for extracted knowledge to be used in business processes are fastidious, and signals gathered from these knowledge discovery tasks are usually very sparse and thus the generation of supervision signals is quite challenging.
In the financial services industry particularly, a large amount of financial analysts’ work requires knowledge discovery and extraction from different data sources, such as SEC filings, loan documents, industry reports, etc., before they can conduct any analysis. This manual extraction process is usually inefficient, error-prone, and inconsistent. It is one of the key bottlenecks for financial services companies to improve their operating productivity. These challenges and issues call for robust artificial intelligence (AI) algorithms and systems to help. The automated processing of unstructured data to discover knowledge from complex financial documents requires a series of techniques such as linguistic processing, semantic analysis, and knowledge representation & reasoning. The design and implementation of these AI techniques to meet financial business operations require a joint effort between academia researchers and industry practitioners.
Submission Guidelines
All submissions must be original contributions and will be peer reviewed, single-blinded. All the submissions must follow the AAAI-22 formatting guidelines, camera-ready style. We accept two types of submissions - full research paper no longer than 8 pages (including references) and short/poster/position paper with 2-4 pages. Submissions will be accepted via EasyChair:
List of Topics
- Representation learning, distributed representations learning and encoding in natural language pro- cessing for financial documents;
- Synthetic or genuine financial datasets and benchmarking baseline models;
- transfer learning application on financial data, knowledge distillation as a method for compression of pre-trained models or adaptation to financial datasets;
- search and question answering systems designed for financial corpora;
- named-entity disambiguation, recognition, relationship discovery, ontology learning and extraction in financial documents;
- knowledge alignment and integration from heterogeneous data;
- using multi-modal data in knowledge discovery for financial applications
- AI assisted data tagging and labeling;
- data acquisition, augmentation, feature engineering, and analysis for investment and risk manage- ment;
- automatic data extraction from financial fillings and quality verification;
- event discovery from alternative data and impact on organization equity price;
- AI systems for relationship extraction and risk assessment from legal documents;
- accounting for Black-Swan events in knowledge discovery methods.
Although textual data is prevalent in a large amount of finance-related business problems, we also en- courage submissions of studies or applications pertinent to finance using other types of unstructured data such as financial transactions, sensors, mobile devices, satellites, social media, etc.
Committees
Organizing committee
- Xiaomo Liu, J.P. Morgan Chase AI Research
- Zhiqiang Ma, J.P. Morgan Chase AI Research
- Sameena Shah, J.P. Morgan Chase AI Research
- Armineh Nourbakhsh, J.P. Morgan Chase AI Research
- Gerard de Melo, Hasso Plattner Institute
- Le Song, Mohamed bin Zayed University of Artificial Intelligence
Venue
The workshop will be held with AAAI 2022 in Vancouver, BC, Canada.
Contact
For general inquiries about KDF '22, please write to inquiry.kdf2022 at easychair.org.