Capturing Planned Protests from Open Source Indicators. | 0 | 0.34 | 2016 |
EMBERS at 4 years:Experiences operating an Open Source Indicators Forecasting System | 2 | 0.42 | 2016 |
Planned Protest Modeling In News And Social Media | 18 | 0.74 | 2015 |
Forecasting Significant Societal Events Using The Embers Streaming Predictive Analytics System. | 4 | 0.56 | 2014 |
'Beating the news' with EMBERS: forecasting civil unrest using open source indicators | 68 | 2.21 | 2014 |
A New Twitter Verb Lexicon for Natural Language Processing. | 0 | 0.34 | 2012 |
Extracting and modeling durations for habits and events from Twitter | 4 | 0.40 | 2012 |
Using semi-experts to derive judgments on word sense alignment: a pilot study. | 3 | 0.42 | 2012 |
Introduction to the Special Issue on Arabic Computational Linguistics | 5 | 0.44 | 2011 |
Error analysis of the TempEval temporal relation identification task | 1 | 0.35 | 2009 |
SemEval-2007 task 15: TempEval temporal relation identification | 134 | 9.08 | 2007 |
Annotating, Extracting and Reasoning about Time and Events, International Seminar, Dagstuhl Castle, Germany, April 10-15, 2005. Revised Papers | 8 | 1.15 | 2007 |
Annotating, Extracting and Reasoning about Time and Events, 10.-15. April 2005 | 10 | 1.63 | 2005 |
Annotating, extracting and reasoning about time and events | 22 | 1.38 | 2005 |
05151 Summary - Annotating, Extracting and Reasoning about Time and Events | 0 | 0.34 | 2005 |
05151 Abstracts Collection - Annotating, Extracting and Reasoning about Time and Events | 0 | 0.34 | 2005 |
Towards a denotational semantics for TimeML | 5 | 1.15 | 2005 |
Representing Temporal and Event Knowledge for QA Systems | 7 | 0.82 | 2004 |
TimeML: Robust Specification of Event and Temporal Expressions in Text | 298 | 19.60 | 2003 |