@inproceedings{c4e31b3e6295451f839e74ad331c11ca,
title = "Summarizing world speak: A preliminary graph based approach",
abstract = "Social media platforms play a crucial role in piecing together global news stories via their corresponding online discussions. Thus, in this work, we introduce the problem of automatically summarizing massively multilingual microblog text streams. We discuss the challenges involved in both generating summaries as well as evaluating them. We introduce a simple word graph based approach that utilizes node neighborhoods to identify keyphrases and thus in turn, pick summary candidates. We also demonstrate the effectiveness of our method in generating precise summaries as compared to other popular techniques.",
author = "Nikhil Londhe and Srihari, \{Rohini K.\}",
note = "Publisher Copyright: {\textcopyright} 2018 Association for Computational Linguistics (ACL). All rights reserved.; 11th International Conference on Recent Advances in Natural Language Processing, RANLP 2017 ; Conference date: 02-09-2017 Through 08-09-2017",
year = "2017",
doi = "10.26615/978-954-452-049-6\_060",
language = "English",
series = "International Conference Recent Advances in Natural Language Processing, RANLP",
publisher = "Incoma Ltd",
pages = "452--458",
editor = "Galia Angelova and Kalina Bontcheva and Ruslan Mitkov and Ivelina Nikolova and Irina Temnikova",
booktitle = "International Conference on Recent Advances in Natural Language Processing, RANLP 2017 - Proceedings",
address = "United States",
}