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» Similarity-Based Methods for Word Sense Disambiguation
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EMNLP
2008
13 years 8 months ago
Cheap and Fast - But is it Good? Evaluating Non-Expert Annotations for Natural Language Tasks
Human linguistic annotation is crucial for many natural language processing tasks but can be expensive and time-consuming. We explore the use of Amazon's Mechanical Turk syst...
Rion Snow, Brendan O'Connor, Daniel Jurafsky, Andr...
EMNLP
2006
13 years 8 months ago
Quality Assessment of Large Scale Knowledge Resources
This paper presents an empirical evaluation of the quality of publicly available large-scale knowledge resources. The study includes a wide range of manually and automatically der...
Montse Cuadros, German Rigau
ACL
2006
13 years 8 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...
ACL
2010
13 years 5 months ago
Expanding Verb Coverage in Cyc with VerbNet
A robust dictionary of semantic frames is an essential element of natural language understanding systems that use ontologies. However, creating lexical resources that accurately c...
Clifton McFate
LREC
2010
176views Education» more  LREC 2010»
13 years 8 months ago
There's no Data like More Data? Revisiting the Impact of Data Size on a Classification Task
In the paper we investigate the impact of data size on a Word Sense Disambiguation task (WSD). We question the assumption that the knowledge acquisition bottleneck, which is known...
Ines Rehbein, Josef Ruppenhofer