16 research outputs found

    A sample of a sentence including a neutral and a distinguished DDI candidate.

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    <p>A sample of a sentence including a neutral and a distinguished DDI candidate.</p

    A sample of a sentence having two neutral DDI candidates.

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    <p>A sample of a sentence having two neutral DDI candidates.</p

    Basic components of the implemented framework.

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    <p>Basic components of the implemented framework.</p

    Basic statistics of the two utilized datasets of the DDI corpus.

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    <p>Basic statistics of the two utilized datasets of the DDI corpus.</p

    F1-measure results for Global Context (GC), SubTree (ST), and Local Context (LC) kernel methods with and without the NCT augmenting features.

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    <p>F1-measure results for Global Context (GC), SubTree (ST), and Local Context (LC) kernel methods with and without the NCT augmenting features.</p

    A sample sentence with negation from NegDDI-DrugBank with neutral and distinguished false DDIs.

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    <p>A sample sentence with negation from NegDDI-DrugBank with neutral and distinguished false DDIs.</p

    The extended unified XML format of a sentence with negation cue in NegDDI-DrugBank corpus.

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    <p>The extended unified XML format of a sentence with negation cue in NegDDI-DrugBank corpus.</p

    The list of the extracted features used in the system.

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    <p>The list of the extracted features used in the system.</p

    A sample of a negated sentence with a concessive clause.

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    <p>A sample of a negated sentence with a concessive clause.</p

    F1-measure results for the local context kernel with combination of different feature sets: Negation scope and cue (N), Clause dependency (C), and neuTral candidate (T).

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    <p>F1-measure results for the local context kernel with combination of different feature sets: Negation scope and cue (N), Clause dependency (C), and neuTral candidate (T).</p
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