WWW'18 Open Challenge: Financial Opinion Mining and Question Answering
WWW'18 Open Challenge: Financial Opinion Mining and Question Answering
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DOI：
10.1145/3184558.3192301
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发表时间：
2018-04
期刊：
影响因子：
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通讯作者：
Macedo Maia;S. Handschuh;A. Freitas;Brian Davis;Ross McDermott;Manel Zarrouk;A. Balahur
中科院分区：
文献类型：
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作者：
Macedo Maia;S. Handschuh;A. Freitas;Brian Davis;Ross McDermott;Manel Zarrouk;A. Balahur
自然语言处理（NLP）技术和资源的日益成熟正在极大地改变许多依赖于大规模非结构化数据分析的应用领域的格局。金融领域依赖于对多个非结构化和结构化数据源的解释以及对快速和全面决策的需求，已经成为NLP、Web挖掘和信息检索（IR）技术实验的主要基础，用于在线金融新闻和观点的自动分析。这项挑战的重点是推进金融领域基于方面的情感分析和基于观点的问题分析的最新技术。
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.