FinKENet: A Novel Financial Knowledge Enhanced Network for Financial Question Matching
Yu Guo,
Ting Liang,
Zhongpu Chen
et al.
Abstract:Question matching is the fundamental task in retrieval-based dialogue systems which assesses the similarity between Query and Question. Unfortunately, existing methods focus on improving the accuracy of text similarity in the general domain, without adaptation to the financial domain. Financial question matching has two critical issues: (1) How to accurately model the contextual representation of a financial sentence? (2) How to accurately represent financial key phrases in an utterance? To address these issue… Show more
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