tdt2000 link detection evaluation results jonathan fiscus and george doddington

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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 Presentation

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Page 1: TDT2000 Link Detection  Evaluation Results Jonathan Fiscus and George Doddington

TDT2000 Link Detection

Evaluation Results

Jonathan Fiscus and George Doddington

Page 2: 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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Page 3: TDT2000 Link Detection  Evaluation Results Jonathan Fiscus and George Doddington

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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UnLinked PairsLink Detection Test Set Composition

Page 4: TDT2000 Link Detection  Evaluation Results Jonathan Fiscus and George Doddington

Link Detection Results

• Required Condition– Multilingual texts– Newswire + Broadcast News ASR,– Reference story boundaries– 10 file decision deferral

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