Sciweavers

COLING
2010
12 years 11 months ago
Filtered Ranking for Bootstrapping in Event Extraction
Several researchers have proposed semi-supervised learning methods for adapting event extraction systems to new event types. This paper investigates two kinds of bootstrapping met...
Shasha Liao, Ralph Grishman
EMNLP
2010
13 years 2 months ago
Evaluating the Impact of Alternative Dependency Graph Encodings on Solving Event Extraction Tasks
In state-of-the-art approaches to information extraction (IE), dependency graphs constitute the fundamental data structure for syntactic structuring and subsequent knowledge elici...
Ekaterina Buyko, Udo Hahn
ACL
2010
13 years 2 months ago
Using Document Level Cross-Event Inference to Improve Event Extraction
Event extraction is a particularly challenging type of information extraction (IE). Most current event extraction systems rely on local information at the phrase or sentence level...
Shasha Liao, Ralph Grishman
ACL
2006
13 years 6 months ago
Automatically Extracting Nominal Mentions of Events with a Bootstrapped Probabilistic Classifier
Most approaches to event extraction focus on mentions anchored in verbs. However, many mentions of events surface as noun phrases. Detecting them can increase the recall of event ...
Cassandre Creswell, Matthew J. Beal, John Chen, Th...
LREC
2010
145views Education» more  LREC 2010»
13 years 6 months ago
The Impact of Task and Corpus on Event Extraction Systems
The term "event extraction" covers a wide range of information extraction tasks, and methods developed and evaluated for one task may prove quite unsuitable for another....
Ralph Grishman
COLING
2008
13 years 6 months ago
Online-Monitoring of Security-Related Events
This paper presents a fully operational real-time event extraction system which is capable of accurately and efficiently extracting violent and natural disaster events from vast a...
Martin Atkinson, Jakub Piskorski, Bruno Pouliquen,...
GECCO
2007
Springer
163views Optimization» more  GECCO 2007»
13 years 10 months ago
Discovering event evidence amid massive, dynamic datasets
Automated event extraction remains a very difficult challenge requiring information analysts to manually identify key events of interest within massive, dynamic data. Many techniq...
Robert M. Patton, Thomas E. Potok