Yu-Wen Liu


2018

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RiskFinder: A Sentence-level Risk Detector for Financial Reports
Yu-Wen Liu | Liang-Chih Liu | Chuan-Ju Wang | Ming-Feng Tsai
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Demonstrations

This paper presents a web-based information system, RiskFinder, for facilitating the analyses of soft and hard information in financial reports. In particular, the system broadens the analyses from the word level to sentence level, which makes the system useful for practitioner communities and unprecedented among financial academics. The proposed system has four main components: 1) a Form 10-K risk-sentiment dataset, consisting of a set of risk-labeled financial sentences and pre-trained sentence embeddings; 2) metadata, including basic information on each company that published the Form 10-K financial report as well as several relevant financial measures; 3) an interface that highlights risk-related sentences in the financial reports based on the latest sentence embedding techniques; 4) a visualization of financial time-series data for a corresponding company. This paper also conducts some case studies to showcase that the system can be of great help in capturing valuable insight within large amounts of textual information. The system is now online available at https://cfda.csie.org/RiskFinder/.

2012

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Frequency, Collocation, and Statistical Modeling of Lexical Items: A Case Study of Temporal Expressions in Two Conversational Corpora
Sheng-Fu Wang | Jing-Chen Yang | Yu-Yun Chang | Yu-Wen Liu | Shu-Kai Hsieh
International Journal of Computational Linguistics & Chinese Language Processing, Volume 17, Number 2, June 2012—Special Issue on Selected Papers from ROCLING XXIII

2011

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Frequency, Collocation, and Statistical Modeling of Lexical Items: A Case Study of Temporal Expressions in an Elderly Speaker Corpus
Sheng-Fu Wang | Jing-Chen Yang | Yu-Yun Chang | Yu-Wen Liu | Shu-Kai Hsieh
Proceedings of the 23rd Conference on Computational Linguistics and Speech Processing (ROCLING 2011)