16 research outputs found
A sample of a sentence including a neutral and a distinguished DDI candidate.
<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.
<p>A sample of a sentence having two neutral DDI candidates.</p
Basic components of the implemented framework.
<p>Basic components of the implemented framework.</p
Basic statistics of the two utilized datasets of the DDI corpus.
<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.
<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.
<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.
<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.
<p>The list of the extracted features used in the system.</p
A sample of a negated sentence with a concessive clause.
<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).
<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