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Semantic Frames to Predict Stock Price Movement
Boyi Xie
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Rebecca J. Passonneau
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Leon Wu
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Germán G. Creamer
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Paper Details:
Month: August
Year: 2013
Location: Sofia, Bulgaria
Venue:
ACL |
Citations
URL
Knowledge-Driven Event Embedding for Stock Prediction
Xiao Ding
|
Yue Zhang
|
Ting Liu
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Junwen Duan
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Measuring the Information Content of Financial News
Ching-Yun Chang
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Yue Zhang
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Zhiyang Teng
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Zahn Bozanic
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Bin Ke
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Learning Target-Specific Representations of Financial News Documents For Cumulative Abnormal Return Prediction
Junwen Duan
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Yue Zhang
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Xiao Ding
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Ching-Yun Chang
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Ting Liu
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Using Structured Events to Predict Stock Price Movement: An Empirical Investigation
Xiao Ding
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Yue Zhang
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Ting Liu
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Junwen Duan
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On the Importance of Text Analysis for Stock Price Prediction
Heeyoung Lee
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Mihai Surdeanu
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Bill MacCartney
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Dan Jurafsky
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Adapting VerbNet to French using existing resources
Quentin Pradet
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Laurence Danlos
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Gaël de Chalendar
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Leverage Financial News to Predict Stock Price Movements Using Word Embeddings and Deep Neural Networks
Yangtuo Peng
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Hui Jiang
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A Semiparametric Gaussian Copula Regression Model for Predicting Financial Risks from Earnings Calls
William Yang Wang
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Zhenhao Hua
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Topic Modeling based Sentiment Analysis on Social Media for Stock Market Prediction
Thien Hai Nguyen
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Kiyoaki Shirai
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Volatility Prediction using Financial Disclosures Sentiments with Word Embedding-based IR Models
Navid Rekabsaz
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Mihai Lupu
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Artem Baklanov
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Alexander Dür
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Linda Andersson
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Allan Hanbury
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Stock Movement Prediction from Tweets and Historical Prices
Yumo Xu
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Shay B. Cohen
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Context-aware Frame-Semantic Role Labeling
Michael Roth
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Mirella Lapata
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Statistical Models for Frame-Semantic Parsing
Dipanjan Das
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Improvement of VerbNet-like resources by frame typing
Laurence Danlos
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Matthieu Constant
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Lucie Barque
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Economic Event Detection in Company-Specific News Text
Gilles Jacobs
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Els Lefever
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Véronique Hoste
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A Corpus of Corporate Annual and Social Responsibility Reports: 280 Million Tokens of Balanced Organizational Writing
Sebastian G.M. Händschke
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Sven Buechel
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Jan Goldenstein
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Philipp Poschmann
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Tinghui Duan
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Peter Walgenbach
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Udo Hahn
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Unsupervised Word Influencer Networks from News Streams
Ananth Balashankar
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Sunandan Chakraborty
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Lakshminarayanan Subramanian
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http://www.ark.cs.cmu.edu/SEMAFOR
http://svmlight.joachims.org
http://disi.unitn.it/moschitti/Tree-
Field Of Study
Task
Tagging
Semantic Parsing
Named Entity Recognition
Semantic Similarity
Information Extraction
Sentiment Analysis
Approach
Topic Modeling
Dataset
News
Social Media
Twitter
Blogs
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