Speech and Language Processing. Information Extraction

Abstract

Imagine that you are an analyst with an investment firm that tracks airline stocks. You’re given the task of determining the relationship (if any) between airline announcements of fare increases and the behavior of their stocks the next day. Historical data about stock prices is easy to come by, but what about the airline announcements? You will need to know at least the name of the airline, the nature of the proposed fare hike, the dates of the announcement, and possibly the response of other airlines. Fortunately, these can be all found in news articles like this one:

Extracted Key Phrases

27 Figures and Tables

Cite this paper

@inproceedings{Jurafsky2015SpeechAL, title={Speech and Language Processing. Information Extraction}, author={Daniel Jurafsky and James H Martin}, year={2015} }