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ACL
2006
15 years 7 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...
TASLP
2010
144views more  TASLP 2010»
15 years 26 days ago
Active Learning With Sampling by Uncertainty and Density for Data Annotations
To solve the knowledge bottleneck problem, active learning has been widely used for its ability to automatically select the most informative unlabeled examples for human annotation...
Jingbo Zhu, Huizhen Wang, Benjamin K. Tsou, Matthe...
NAACL
2010
15 years 4 months ago
Improving Semantic Role Labeling with Word Sense
Semantic role labeling (SRL) not only needs lexical and syntactic information, but also needs word sense information. However, because of the lack of corpus annotated with both wo...
Wanxiang Che, Ting Liu, Yongqiang Li
EMNLP
2007
15 years 7 months ago
Learning to Merge Word Senses
It has been widely observed that different NLP applications require different sense granularities in order to best exploit word sense distinctions, and that for many applications ...
Rion Snow, Sushant Prakash, Daniel Jurafsky, Andre...
FSKD
2009
Springer
143views Fuzzy Logic» more  FSKD 2009»
15 years 3 months ago
Spectral Clustering for Chinese Word
Sense Induction is the process of identifying the word sense given its context, often treated as a clustering task. This paper explores the use of spectral cluster method which in...
Ying Liu, Wang Nan, Tie Zheng