WWW'18 Open Challenge: Financial Opinion Mining and Question Answering

被引：113

作者：

Maia, Macedo ^{[1
]}

Handschuh, Siegfried ^{[1
]}

Freitas, Andre ^{[2
]}

Davis, Brian ^{[3
]}

McDermott, Ross ^{[4
]}

Zarrouk, Manel ^{[4
]}

Balahur, Alexandra ^{[5
]}

机构：

[1] Univ Passau, Passau, Germany

[2] Univ Manchester, Manchester, Lancs, England

[3] Maynooth Univ, Maynooth, Kildare, Ireland

[4] Natl Univ Ireland, Insight Ctr Data Analyt, Galway, Ireland

[5] European Commiss EC, Joint Res Ctr, Brussels, Belgium

来源：

COMPANION PROCEEDINGS OF THE WORLD WIDE WEB CONFERENCE 2018 (WWW 2018) | 2018年

关键词：

Opinion Mining; Question Answering; Financial Domain;

D O I：

10.1145/3184558.3192301

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The growing maturity of Natural Language Processing (NLP) techniques and resources is dramatically changing the landscape of many application domains which are dependent on the analysis of unstructured data at scale. The finance domain, with its reliance on the interpretation of multiple unstructured and structured data sources and its demand for fast and comprehensive decision making is already emerging as a primary ground for the experimentation of NLP, Web Mining and Information Retrieval (IR) techniques for the automatic analysis of financial news and opinions online. This challenge focuses on advancing the state-of-the-art of aspect-based sentiment analysis and opinion-based Question Answering for the financial domain.

引用

页码：1941 / 1942

页数：2