<s>
In	O
natural	B-Language
language	I-Language
processing	I-Language
(	O
NLP	B-Language
)	O
,	O
a	O
text	B-General_Concept
graph	I-General_Concept
is	O
a	O
graph	B-Application
representation	I-Application
of	O
a	O
text	O
item	O
(	O
document	O
,	O
passage	O
or	O
sentence	O
)	O
.	O
</s>
<s>
(	O
topic-based	O
)	O
text	B-Application
summarization	I-Application
,	O
relation	O
extraction	O
and	O
textual	O
entailment	O
.	O
</s>
<s>
The	O
semantics	O
of	O
what	O
a	O
text	B-General_Concept
graph	I-General_Concept
's	O
nodes	O
and	O
edges	O
represent	O
can	O
vary	O
widely	O
.	O
</s>
<s>
The	O
TextGraphs	O
Workshop	O
series	O
is	O
a	O
series	O
of	O
regular	O
academic	O
workshops	O
intended	O
to	O
encourage	O
the	O
synergy	O
between	O
the	O
fields	O
of	O
natural	B-Language
language	I-Language
processing	I-Language
(	O
NLP	B-Language
)	O
and	O
graph	O
theory	O
.	O
</s>
<s>
The	O
mix	O
between	O
the	O
two	O
started	O
small	O
,	O
with	O
graph	O
theoretical	O
framework	O
providing	O
efficient	O
and	O
elegant	O
solutions	O
for	O
NLP	B-Language
applications	O
that	O
focused	O
on	O
single	O
documents	O
for	O
part-of-speech	O
tagging	O
,	O
word-sense	B-General_Concept
disambiguation	I-General_Concept
and	O
semantic	O
role	O
labelling	O
,	O
got	O
progressively	O
larger	O
with	O
ontology	B-General_Concept
learning	I-General_Concept
and	O
information	B-General_Concept
extraction	I-General_Concept
from	O
large	O
text	O
collections	O
.	O
</s>
<s>
Graph-based	O
methods	O
for	O
word	B-General_Concept
sense	I-General_Concept
disambiguation	I-General_Concept
,	O
</s>
<s>
Graph-based	O
representations	O
for	O
ontology	B-General_Concept
learning	I-General_Concept
,	O
</s>
<s>
Inducing	O
knowledge	O
of	O
ontologies	O
into	O
NLP	B-Language
applications	O
using	O
graphs	O
,	O
</s>
<s>
Merging	O
ontologies	O
with	O
graph-based	O
methods	O
using	O
NLP	B-Language
techniques	O
.	O
</s>
