|
( QA ) systems
</term>
are very sensitive
|
to
|
variations in the phrasing of an
<term>
information
|
#10739
State-of-the-art Question Answering (QA) systems are very sensitive to variations in the phrasing of an information need. |
|
utterance
</term>
. These mistakes can lead
|
to
|
various kinds of misunderstandings between
|
#14458
These mistakes can lead to various kinds of misunderstandings between speaker and listener, including reference failures or failure to understand the speaker's intention. |
|
laughed is to to laugh , noted I walked :
|
to
|
walk : : I laughed : to laugh ) . But
<term>
|
#5873
The reality of analogies between words is refuted by noone (e.g., I walked is to to walk as I laughed is to to laugh, noted I walked : to walk :: I laughed : to laugh). |
|
refuted by noone ( e.g. , I walked is to
|
to
|
walk as I laughed is to to laugh , noted
|
#5859
The reality of analogies between words is refuted by noone (e.g., I walked is to to walk as I laughed is to to laugh, noted I walked : to walk :: I laughed : to laugh). |
|
frequently enough in
<term>
dialog
</term>
|
to
|
warrant serious
<term>
attention
</term>
,
|
#1853
These words appear frequently enough in dialogto warrant serious attention, yet present natural language search engines perform poorly on queries containing them. |
|
This system provides a promising approach
|
to
|
<term>
Web-based computer-assisted academic
|
#11783
This system provides a promising approach to Web-based computer-assisted academic writing. |
|
performance
</term>
that is surprisingly close
|
to
|
what can be achieved using conventional
|
#2242
The method combines domain independent acoustic models with off-the-shelf classifiers to give utterance classification performance that is surprisingly close to what can be achieved using conventional word-trigram recognition requiring manual transcription. |
|
<term>
summarization
</term>
has been shown
|
to
|
work in
<term>
documents
</term>
of certain
|
#6213
While sentence extraction as an approach to summarization has been shown to work in documents of certain genres, because of the conversational nature of email communication where utterances are made in relation to one made previously, sentence extraction may not capture the necessary segments of dialogue that would make a summary coherent. |
|
terms of both simplicity and efficiency —
|
to
|
work on
<term>
feature selection methods
</term>
|
#8923
We argue that the method is an appealing alternative—in terms of both simplicity and efficiency— to work on feature selection methods within log-linear (maximum-entropy) models. |
|
, even if the
<term>
grammars
</term>
allow
|
to
|
write the
<term>
rules
</term>
in the simple
|
#19775
Typically, so many possible structures are produced that MT systems cannot select the correct one, even if the grammars allow to write the rules in the simple notations. |
|
This approach differs from other approaches
|
to
|
<term>
WSI
</term>
in that it enhances the
|
#10142
This approach differs from other approaches to WSI in that it enhances the effect of the one sense per collocation observation by using triplets of words instead of pairs. |
|
, the
<term>
Prolog form
</term>
is executed
|
to
|
yield the answer . Most large
<term>
text-understanding
|
#12939
Finally, the Prolog form is executed to yield the answer. |