@inproceedings{aa1a44d2b7074be6bb2d5d529286eab3,
title = "Named entity recognition from financial press releases",
abstract = "This paper explores a previous model{\textquoteright}s use of named entity recognition to predict the changes in stock prices from financial news. Detecting company mentions in the articles is crucial for this task, and we modified these methods to gain additional mentions. We first expanded upon the rules of the named entity recognition from the original model. We also incorporated coreference resolution and modified an existing toolkit to be compatible with our specific domain. After these two adjustments, the number of instances captured increased significantly. Although this did not necessarily improve the overall prediction performance, the results give us an opportunity to explore reasons why the scores stayed around the same, and a full analysis will allow us to achieve our goals.",
author = "Passonneau, {Rebecca J.} and Tifara Ramelson and Boyi Xie",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2015.; 6th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2014 ; Conference date: 21-10-2014 Through 24-10-2014",
year = "2015",
doi = "10.1007/978-3-319-25840-9_16",
language = "English (US)",
isbn = "9783319258393",
series = "Communications in Computer and Information Science",
publisher = "Springer Verlag",
pages = "240--254",
editor = "Joaquim Filipe and Dietz, {Jan L.G.} and Joaquim Filipe and Dietz, {Jan L.G.} and Kecheng Liu and David Aveiro and Ana Fred and David Aveiro and Ana Fred and Kecheng Liu",
booktitle = "Knowledge Discovery, Knowledge Engineering and Knowledge Management - 6th International Joint Conference, IC3K 2014, Revised Selected Papers",
address = "Germany",
}