@inproceedings{d85a00fe8cc44248a66a11e16a0d7a38,
title = "Company mention detection for large scale text mining",
abstract = "Text mining on a large scale that addresses actionable prediction needs to contend with noisy information in documents, and with interdependencies between the NLP techniques applied and the data representation. This paper presents an initial investigation of the impact of improved company mention detection for financial analytics using Named Entity recognition and coreference. Coverage of company mention detection improves dramatically. Improvement for prediction of stock price varies, depending on the data representation.",
author = "Passonneau, {Rebecca J.} and Tifara Ramelson and Boyi Xie",
note = "Publisher Copyright: Copyright {\textcopyright} 2014 SCITEPRESS - Science and Technology Publications All rights reserved.; 6th International Conference on Knowledge Discovery and Information Retrieval, KDIR 2014 ; Conference date: 21-10-2014 Through 24-10-2014",
year = "2014",
doi = "10.5220/0005174405120520",
language = "English (US)",
series = "KDIR 2014 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval",
publisher = "INSTICC Press",
pages = "512--520",
editor = "Ana Fred and Joaquim Filipe and Joaquim Filipe",
booktitle = "KDIR 2014 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval",
}