other,39-4-P82-1035,bq |
<term>
elllpsis
</term>
) , and resolve
<term>
|
referents
|
</term>
(
<term>
anaphora
</term>
) . This method
|
#13094
These syntactic and semantic expectations can be used to figure out unknown words from context, constrain the possible word-senses of words with multiple meanings (ambiguity), fill in missing words (elllpsis), and resolvereferents (anaphora). |
other,10-5-P82-1035,bq |
</term>
to aid the understanding of
<term>
|
scruffy texts
|
</term>
has been incorporated into a working
|
#13109
This method of using expectations to aid the understanding ofscruffy texts has been incorporated into a working computer program called NOMAD, which understands scruffy texts in the domain of Navy messages. |
other,25-5-P82-1035,bq |
<term>
NOMAD
</term>
, which understands
<term>
|
scruffy texts
|
</term>
in the domain of Navy messages .
|
#13124
This method of using expectations to aid the understanding of scruffy texts has been incorporated into a working computer program called NOMAD, which understandsscruffy texts in the domain of Navy messages. |
other,17-3-P82-1035,bq |
</term>
, based both on knowledge of
<term>
|
surface English
|
</term>
and on
<term>
world knowledge
</term>
|
#13043
Our solution to these problems is to make use of expectations, based both on knowledge ofsurface English and on world knowledge of the situation being described. |
other,1-4-P82-1035,bq |
situation being described . These
<term>
|
syntactic and semantic expectations
|
</term>
can be used to figure out
<term>
unknown
|
#13056
Thesesyntactic and semantic expectations can be used to figure out unknown words from context, constrain the possible word-senses of words with multiple meanings (ambiguity), fill in missing words (elllpsis), and resolve referents (anaphora). |
other,13-1-P82-1035,bq |
under the assumption that the input
<term>
|
text
|
</term>
will be in reasonably neat form ,
|
#12957
Most large text-understanding systems have been designed under the assumption that the inputtext will be in reasonably neat form, e.g., newspaper stories and other edited texts. |
tech,2-1-P82-1035,bq |
executed to yield the answer . Most large
<term>
|
text-understanding systems
|
</term>
have been designed under the assumption
|
#12946
Most largetext-understanding systems have been designed under the assumption that the input text will be in reasonably neat form, e.g., newspaper stories and other edited texts. |
other,11-4-P82-1035,bq |
expectations
</term>
can be used to figure out
<term>
|
unknown words
|
</term>
from
<term>
context
</term>
, constrain
|
#13066
These syntactic and semantic expectations can be used to figure outunknown words from context, constrain the possible word-senses of words with multiple meanings (ambiguity), fill in missing words (elllpsis), and resolve referents (anaphora). |
other,21-4-P82-1035,bq |
possible
<term>
word-senses
</term>
of
<term>
|
words with multiple meanings
|
</term>
(
<term>
ambiguity
</term>
) , fill in
|
#13076
These syntactic and semantic expectations can be used to figure out unknown words from context, constrain the possible word-senses ofwords with multiple meanings (ambiguity), fill in missing words (elllpsis), and resolve referents (anaphora). |
other,19-4-P82-1035,bq |
context
</term>
, constrain the possible
<term>
|
word-senses
|
</term>
of
<term>
words with multiple meanings
|
#13074
These syntactic and semantic expectations can be used to figure out unknown words from context, constrain the possibleword-senses of words with multiple meanings (ambiguity), fill in missing words (elllpsis), and resolve referents (anaphora). |
other,21-3-P82-1035,bq |
<term>
surface English
</term>
and on
<term>
|
world knowledge
|
</term>
of the situation being described
|
#13047
Our solution to these problems is to make use of expectations, based both on knowledge of surface English and onworld knowledge of the situation being described. |