WWW'18 open challenge: financial opinion mining and question answering
Maia, Macedo ; Handschuh, Siegfried ; Freitas, André ; Davis, Brian ; McDermott, Ross ; Zarrouk, Manel ; Balahur, Alexandra
Maia, Macedo
Handschuh, Siegfried
Freitas, André
Davis, Brian
McDermott, Ross
Zarrouk, Manel
Balahur, Alexandra
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Repository DOI
Publication Date
2018-04-23
Type
Conference Paper
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Citation
Maia, Macedo, Handschuh, Siegfried, Freitas, André, Davis, Brian, McDermott, Ross, Zarrouk, Manel, & Balahur, Alexandra. (2018). WWW'18 open challenge: financial opinion mining and question answering. Paper presented at the The Web Conference 2018, Lyon, France, 23-27 April.
Abstract
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.
Funder
Publisher
Association for Computing Machinery
Publisher DOI
10.1145/3184558.3192301
Rights
Attribution-NonCommercial-NoDerivs 3.0 Ireland