other,14-4-P82-1035,bq |
out
<term>
unknown words
</term>
from
<term>
|
context
|
</term>
, constrain the possible
<term>
word-senses
|
#13069
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 resolve referents (anaphora). |
other,34-4-P82-1035,bq |
fill in
<term>
missing words
</term>
(
<term>
|
elllpsis
|
</term>
) , and resolve
<term>
referents
</term>
|
#13089
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 resolve referents (anaphora). |
other,26-4-P82-1035,bq |
words with multiple meanings
</term>
(
<term>
|
ambiguity
|
</term>
) , fill in
<term>
missing words
</term>
|
#13081
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 resolve referents (anaphora). |
other,41-4-P82-1035,bq |
and resolve
<term>
referents
</term>
(
<term>
|
anaphora
|
</term>
) . This method of using
<term>
expectations
|
#13096
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 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 input text will be in reasonably neat form, e.g., newspaper stories and other edited texts. |