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

Authors: 

Macedo Maia, Siegfried Handschuh, André Freitas, Brian Davis, Ross McDermott, Manel Zarrouk, Alexandra Balahur

Publication Type: 
Refereed Conference Meeting Proceeding
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.
Conference Name: 
The Web Conference 2018
Proceedings: 
WWW '18 Companion Proceedings of the The Web Conference 2018
Digital Object Identifer (DOI): 
10.1145/3184558.3192301
Publication Date: 
23/04/2018
Conference Location: 
France
Research Group: 
Institution: 
National University of Ireland, Galway (NUIG)
Open access repository: 
Yes
Publication document: