Knowledge Discovery from Unstructured Data in Financial Services (KDF) Workshop

被引：0

作者：

Shah, Sameena ^{[1
]}

Zhu, Xiandan ^{[2
]}

Chen, Wenhu ^{[3
]}

Li, Manling ^{[4
]}

Nourbakhsh, Armineh ^{[1
]}

Liu, Xiaomo ^{[1
]}

Ma, Zhiqiang ^{[1
]}

Smiley, Charese ^{[5
]}

Pei, Yulong ^{[6
]}

Gupta, Akshat ^{[1
]}

机构：

[1] JPMorgan Chase, New York, NY 10017 USA

[2] Queens Univ, Kingston, ON, Canada

[3] Univ Waterloo, Comp Sci, Waterloo, ON, Canada

[4] Univ Illinois, Comp Sci, Champaign, IL USA

[5] JPMorgan Chase, Chicago, IL USA

[6] JPMorgan Chase, London, England

来源：

PROCEEDINGS OF THE 46TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL, SIGIR 2023 | 2023年

关键词：

knowledge discovery; unstructured data; financial services;

D O I：

10.1145/3539618.3591924

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Knowledge discovery from unstructured data, including business documents, web content, and news articles, has been a key AI challenge for the financial services industry. Comprehending these corpora and discovering knowledge from them, which could be textual, tabular, or graphic, are the cornerstone of supporting business decisions in the financial services domain, where information retrieval and content analysis techniques are of fundamental importance. We propose a workshop on knowledge discovery from unstructured data in financial services at SIGIR 2023 to highlight the current and emerging opportunities, invite original research, and prompt success sharing between researchers.

引用

页码：3464 / 3467

页数：4

共 9 条

[1] AI in Finance: Challenges, Techniques, and Opportunities [J].

Cao, Longbing .

ACM COMPUTING SURVEYS, 2023, 55 (03)

[2]

Daudert T, 2018, ECONOMICS AND NATURAL LANGUAGE PROCESSING (ECONLP 2018), P49

[3] Artificial intelligence and machine learning in finance: Identifying foundations, themes, and research clusters from bibliometric analysis [J].

Goodell, John W. ;

Kumar, Satish ;

Lim, Weng Marc ;

Pattnaik, Debidutta .

JOURNAL OF BEHAVIORAL AND EXPERIMENTAL FINANCE, 2021, 32

[4]

Jrvelin Kalervo, 2017, ACM SIGIR Forum, V51, P243, DOI 10.1145/3130348.3130374

[5]

Shah Raj Sanjay, 2022, P 2022 C EMPIRICAL M, P2322

[6]

Wang WK, 2019, 2019 CONFERENCE ON EMPIRICAL METHODS IN NATURAL LANGUAGE PROCESSING AND THE 9TH INTERNATIONAL JOINT CONFERENCE ON NATURAL LANGUAGE PROCESSING (EMNLP-IJCNLP 2019), P1762

[7]

Yang L., 2019, P 1 WORKSH FIN TECHN, P54

[8]

Zhai Chengxiang, 2021, SALTON AWARD KEYNOTE

[9] Web Table Extraction, Retrieval, and Augmentation: A Survey [J].

Zhang, Shuo ;

Balog, Krisztian .

ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY, 2020, 11 (02)

← 1 →