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» Semi-Supervised Semantic Role Labeling
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ACL
2000
13 years 8 months ago
Automatic Labeling of Semantic Roles
e, the system labels constituents with either abstract semantic roles such as AGENT or PATIENT, or more domain-specific semantic roles such as SPEAKER, MESSAGE, and TOPIC. The syst...
Daniel Gildea, Daniel Jurafsky
LREC
2010
164views Education» more  LREC 2010»
13 years 9 months ago
Evaluating Machine Translation Utility via Semantic Role Labels
We present the methodology that underlies new metrics for semantic machine translation evaluation that we are developing. Unlike widely-used lexical and n-gram based MT evaluation...
Chi-kiu Lo, Dekai Wu
ACL
2010
13 years 5 months ago
Starting from Scratch in Semantic Role Labeling
A fundamental step in sentence comprehension involves assigning semantic roles to sentence constituents. To accomplish this, the listener must parse the sentence, find constituent...
Michael Connor, Yael Gertner, Cynthia Fisher, Dan ...
COLING
2008
13 years 9 months ago
Prediction of Maximal Projection for Semantic Role Labeling
In Semantic Role Labeling (SRL), arguments are usually limited in a syntax subtree. It is reasonable to label arguments locally in such a sub-tree rather than a whole tree. To ide...
Weiwei Sun, Zhifang Sui, Haifeng Wang
NAACL
2010
13 years 5 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