Publication | Open Access
WWW'18 Open Challenge
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2018
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EngineeringFinancial DataBusiness IntelligenceFinancial IntelligenceCorpus LinguisticsSentiment AnalysisText MiningNatural Language ProcessingInformation RetrievalData ScienceComputational LinguisticsMixed-timed CircuitsAccountingOpen AccessKnowledge DiscoveryTerminology ExtractionComputer ScienceFinancial NewsInformation ExtractionFinanceWww'18 Open ChallengeFinance DomainGlobal ChallengeBusinessKeyword ExtractionOpen Research
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.