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Shalmaneser: Shallow semantic parser output
<?xml version="1.0" encoding="UTF-8"?>
<corpus corpusname="corpus" target="">
<head>
<meta>
<format>
NeGra format, version 3</format>
</meta>
<frames xmlns="http://www.clt-st.de/framenet/frame-database">
</frames>
<wordtags xmlns="http://www.clt-st.de/salsa/wordtags">
</wordtags>
<flags>
</flags>
<annotation>
<edgelabel>
</edgelabel>
<secedgelabel>
</secedgelabel>
</annotation>
</head>
<body>
<s id='text.in_0'>
<graph root='text.in_0_505'>
<terminals>
<t id='text.in_0_0' pos='VB' lemma='remind' word='Remind'>
</t>
<t id='text.in_0_1' pos='PRP' lemma='me' word='me'>
</t>
<t id='text.in_0_2' pos='TO' lemma='to' word='to'>
</t>
<t id='text.in_0_3' pos='VB' lemma='move' word='move'>
</t>
<t id='text.in_0_4' pos='PRP$' lemma='my' word='my'>
</t>
<t id='text.in_0_5' pos='NN' lemma='car' word='car'>
</t>
<t id='text.in_0_6' pos='NNP' lemma='Friday' word='Friday'>
</t>
<t id='text.in_0_7' pos='PUNC.' lemma='.' word='.'>
</t>
</terminals>
<nonterminals>
<nt id='text.in_0_505' cat='VP' head='Remind'>
<edge label='-' idref='text.in_0_0'/>
<edge label='-' idref='text.in_0_504'/>
</nt>
<nt id='text.in_0_504' cat='S-A' head='to'>
<edge label='-' idref='text.in_0_1'/>
<edge label='-' idref='text.in_0_503'/>
</nt>
<nt id='text.in_0_503' cat='VP' head='to'>
<edge label='-' idref='text.in_0_2'/>
<edge label='-' idref='text.in_0_502'/>
</nt>
<nt id='text.in_0_502' cat='VP-A' head='move'>
<edge label='-' idref='text.in_0_3'/>
<edge label='-' idref='text.in_0_500'/>
<edge label='-' idref='text.in_0_501'/>
</nt>
<nt id='text.in_0_501' cat='NPB' head='Friday'>
<edge label='-' idref='text.in_0_6'/>
<edge label='-' idref='text.in_0_7'/>
</nt>
<nt id='text.in_0_500' cat='NPB' head='car'>
<edge label='-' idref='text.in_0_4'/>
<edge label='-' idref='text.in_0_5'/>
</nt>
</nonterminals>
</graph>
<sem>
<globals>
</globals>
<frames>
<frame id='text.in_0_f1348978326.10422' name='Vehicle'>
<target id='text.in_0_f1348978326.10422_fe1348978326.10429' pos='noun' lemma='car'>
<fenode idref='text.in_0_5'/>
</target>
<fe id='text.in_0_f1348978326.10422_fe1348978339.84349' name='Vehicle'>
<fenode idref='text.in_0_5'/>
</fe>
<fe id='text.in_0_f1348978326.10422_fe1348978339.8441' name='Possessor'>
<fenode idref='text.in_0_4'/>
</fe>
</frame>
<frame id='text.in_0_f1348978326.10437' name='Motion'>
<target id='text.in_0_f1348978326.10437_fe1348978326.10445' pos='verb' lemma='move'>
<fenode idref='text.in_0_3'/>
</target>
<fe id='text.in_0_f1348978326.10437_fe1348978339.8445' name='Theme'>
<fenode idref='text.in_0_1'/>
</fe>
</frame>
<frame id='text.in_0_f1348978326.10451' name='Evoking'>
<target id='text.in_0_f1348978326.10451_fe1348978326.10456' pos='verb' lemma='remind'>
<fenode idref='text.in_0_0'/>
</target>
</frame>
</frames>
<usp>
<uspframes>
</uspframes>
<uspfes>
</uspfes>
</usp>
</sem>
</s>
</body>
</corpus>
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