tdt2000 link detection evaluation results jonathan fiscus and george doddington
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TDT2000 Link Detection Evaluation Results Jonathan Fiscus and George Doddington. TDT Link Detection Task. One Participant: University of Massachusetts System Goal: To detect whether a pair of stories discuss the same topic. - PowerPoint PPT PresentationTRANSCRIPT
TDT2000 Link Detection
Evaluation Results
Jonathan Fiscus and George Doddington
NIST Speech Group
TDT Link Detection Task
One Participant: University of Massachusetts
System Goal:– To detect whether a pair of stories discuss the same topic.
(Can be thought of as a “primitive operator” to build a variety of applications)
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2000 Link Detection Results• A lot was learned last year:
– The test set must be properly sampled • “Linked” story pairs were selected by randomly sampling all
possible on-topic story pairs• “Unlinked” pairs were selected using all on-topic stories as one
of the pair, and a randomly chosen story was chosen as the second
– This year, the task was made multilingual
– More story pairs were used
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Overall Eng-to-Eng Eng-to-Man Man-to-Man
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tory
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rs Linked Pairs
UnLinked PairsLink Detection Test Set Composition
Link Detection Results
• Required Condition– Multilingual texts– Newswire + Broadcast News ASR,– Reference story boundaries– 10 file decision deferral
0.31
0.17
0.330.41
0.10
1.00
UMass1
Nor
mal
ized
Lin
k D
etec
tion
Cos
t
OverallEng-to-EngMan-to-ManEng-to-Man
Overall