Difference between revisions of "S. Patwardhan and E. Riloff. EMNLP 2009"
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== Summary == | == Summary == | ||
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+ | Previous IE systems make decision only based on immediate context around | ||
+ | a phrase. The authors argue that for more complex tasks, | ||
+ | such as event extraction, a larger field of view is | ||
+ | often needed to understand how facts tie together. | ||
+ | |||
+ | This paper proposed a new model for event extraction. | ||
+ | To determine whether a noun phrase should be extracted as a filler for an event role | ||
+ | the new model computes the joint probability that NPi : | ||
+ | (1) appears in an event sentence, and | ||
+ | |||
+ | (2) is a legitimate filler for the event role. |
Revision as of 03:55, 30 November 2010
Citation
S. Patwardhan and E. Riloff. A unified model of phrasal and sentential evidence for information extraction. in EMNLP 2009
Online version
Summary
Previous IE systems make decision only based on immediate context around a phrase. The authors argue that for more complex tasks, such as event extraction, a larger field of view is often needed to understand how facts tie together.
This paper proposed a new model for event extraction. To determine whether a noun phrase should be extracted as a filler for an event role the new model computes the joint probability that NPi : (1) appears in an event sentence, and
(2) is a legitimate filler for the event role.