cis6930fa11_Reverb

cis6930fa11_Reverb - Identifying Relations for open...

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Identifying Relations for open Information Extraction Anthony Fader Stephen Soderland Oren Etzioni Presented by: Sindhura Tokala
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Refresher Sentence: "Hampstead is a suburb of London“ (arg1, relation, arg2) = (Hampstead, is a suburb of, London)
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OPEN Information Extraction Does not require pre-specified vocabulary
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Why do we need open Ie? Traditional closed IE systems: learn an extractor for each target relation from labeled training examples. Drawbacks: does not scale cannot be used where target relations cannot be used in advance
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How does Open IE address these drawbacks? automatically identifies "relation phrases" this enables the extraction of arbitrary relations no need pre-specify vocabulary!
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Contributions Identified problems with existing Open IE systems. Established constraints on relation phrase extractions ReVerb Open IE system.
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Existing Open IE systems: TextRunner WOE
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Problems with existing Open IE systems: Incoherent extractions Uninformative extractions
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Incoherent extractions: Relation phrase has no meaningful interpretation
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Uninformative Extractions Omit critical information.
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cis6930fa11_Reverb - Identifying Relations for open...

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