Heeyoung Lee


2014

pdf bib
On the Importance of Text Analysis for Stock Price Prediction
Heeyoung Lee | Mihai Surdeanu | Bill MacCartney | Dan Jurafsky
Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)

We investigate the importance of text analysis for stock price prediction. In particular, we introduce a system that forecasts companies’ stock price changes (UP, DOWN, STAY) in response to financial events reported in 8-K documents. Our results indicate that using text boosts prediction accuracy over 10% (relative) over a strong baseline that incorporates many financially-rooted features. This impact is most important in the short term (i.e., the next day after the financial event) but persists for up to five days.

2013

pdf bib
Using Out-of-Domain Data for Lexical Addressee Detection in Human-Human-Computer Dialog
Heeyoung Lee | Andreas Stolcke | Elizabeth Shriberg
Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

pdf bib
Deterministic Coreference Resolution Based on Entity-Centric, Precision-Ranked Rules
Heeyoung Lee | Angel Chang | Yves Peirsman | Nathanael Chambers | Mihai Surdeanu | Dan Jurafsky
Computational Linguistics, Volume 39, Issue 4 - December 2013

2012

pdf bib
Joint Entity and Event Coreference Resolution across Documents
Heeyoung Lee | Marta Recasens | Angel Chang | Mihai Surdeanu | Dan Jurafsky
Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning

2011

pdf bib
Stanford’s Multi-Pass Sieve Coreference Resolution System at the CoNLL-2011 Shared Task
Heeyoung Lee | Yves Peirsman | Angel Chang | Nathanael Chambers | Mihai Surdeanu | Dan Jurafsky
Proceedings of the Fifteenth Conference on Computational Natural Language Learning: Shared Task

2010

pdf bib
A Multi-Pass Sieve for Coreference Resolution
Karthik Raghunathan | Heeyoung Lee | Sudarshan Rangarajan | Nathanael Chambers | Mihai Surdeanu | Dan Jurafsky | Christopher Manning
Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing