other,20-2-P01-1008,bq |
translations
</term>
of the same
<term>
source
|
text
|
</term>
. Our approach yields
<term>
phrasal
|
#1798
We present an unsupervised learning algorithm for identification of paraphrases from a corpus of multiple English translations of the same source text. |
other,10-2-A88-1001,bq |
heuristically-produced complete
<term>
sentences
</term>
in
<term>
|
text
|
</term>
or
<term>
text-to-speech form
</term>
|
#14892
Multimedia answers include videodisc images and heuristically-produced complete sentences intext or text-to-speech form. |
lr,0-4-P03-1050,bq |
phase
</term>
.
<term>
Monolingual , unannotated
|
text
|
</term>
can be used to further improve the
|
#4489
Monolingual, unannotated text can be used to further improve the stemmer by allowing it to adapt to a desired domain or genre. |
|
aggregation system
</term>
using each author 's
|
text
|
as a coherent
<term>
corpus
</term>
. Our approach
|
#6133
This paper proposes a new methodology to improve the accuracy of a term aggregation system using each author's text as a coherent corpus. |
tech,6-1-P84-1078,bq |
describes
<term>
Paul
</term>
, a
<term>
computer
|
text
|
generation system
</term>
designed to create
|
#13751
This report describes Paul, a computer text generation system designed to create cohesive text through the use of lexical substitutions. |
tech,25-1-H94-1084,bq |
<term>
image understanding
</term>
with
<term>
|
text
|
understanding
</term>
. Our
<term>
document
|
#21385
Because of the complexity of documents and the variety of applications which must be supported, document understanding requires the integration of image understanding withtext understanding. |
lr,11-4-P04-2010,bq |
<term>
pronouns
</term>
in
<term>
unannotated
|
text
|
</term>
by using a fully automatic sequence
|
#7081
Furthermore, we present a standalone system that resolves pronouns in unannotated text by using a fully automatic sequence of preprocessing modules that mimics the manual annotation process. |
tech,24-2-H94-1084,bq |
</term>
, which creates the data for a
<term>
|
text
|
retrieval application
</term>
and the
<term>
|
#21412
Our document understanding technology is implemented in a system called IDUS (Intelligent Document Understanding System), which creates the data for atext retrieval application and the automatic generation of hypertext links. |
other,29-3-P84-1078,bq |
antecedence
</term>
of each element in the
<term>
|
text
|
</term>
to select the proper
<term>
substitutions
|
#13816
The system identities a strength of antecedence recovery for each of the lexical substitutions, and matches them against the strength of potential antecedence of each element in thetext to select the proper substitutions for these elements. |
other,14-4-C92-4207,bq |
spatial constraints
</term>
from the
<term>
|
text
|
</term>
, and represent them as the
<term>
|
#18468
To reconstruct the model, the authors extract the qualitative spatial constraints from thetext, and represent them as the numerical constraints on the spatial attributes of the entities. |
other,17-1-A94-1026,bq |
conversion
</term>
needed to input the
<term>
|
text
|
</term>
. It is critical , therefore , for
|
#20383
Japanese texts frequently suffer from the homophone errors caused by the KANA-KANJI conversion needed to input thetext. |
other,12-4-P06-1013,bq |
are derived automatically from
<term>
raw
|
text
|
</term>
. Experiments using the
<term>
SemCor
|
#11022
Our combination methods rely on predominant senses which are derived automatically from raw text. |
other,35-1-I05-4010,bq |
numbering system
</term>
in the
<term>
legal
|
text
|
hierarchy
</term>
. Basic methodology and
|
#8239
In this paper we present our recent work on harvesting English-Chinese bitexts of the laws of Hong Kong from the Web and aligning them to the subparagraph level via utilizing the numbering system in the legal text hierarchy. |
tech,38-3-H01-1040,bq |
increased potential of
<term>
IE-enhanced
|
text
|
browsers
</term>
. At MIT Lincoln Laboratory
|
#383
We also report results of a preliminary, qualitative user evaluation of the system, which while broadly positive indicates further work needs to be done on the interface to make users aware of the increased potential of IE-enhanced text browsers. |
other,31-1-H01-1040,bq |
- can be used to enhance access to
<term>
|
text
|
collections
</term>
via a standard
<term>
text
|
#305
In this paper we show how two standard outputs from information extraction (IE) systems - named entity annotations and scenario templates - can be used to enhance access totext collections via a standard text browser. |
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. |
other,13-1-P84-1078,bq |
system
</term>
designed to create
<term>
cohesive
|
text
|
</term>
through the use of
<term>
lexical substitutions
|
#13758
This report describes Paul, a computer text generation system designed to create cohesive text through the use of lexical substitutions. |
tech,24-5-P04-2010,bq |
open-domain question answering
</term>
and
<term>
|
text
|
summarisation
</term>
. In this paper , we
|
#7122
Although the system performs well within a limited textual domain, further research is needed to make it effective for open-domain question answering andtext summarisation. |
tech,17-1-H92-1095,bq |
spoken language understanding
</term>
,
<term>
|
text
|
understanding
</term>
, and
<term>
document
|
#19654
Language understanding work at Paramax focuses on applying general-purpose language understanding technology to spoken language understanding,text understanding, and document processing, integrating language understanding with speech recognition, knowledge-based information retrieval and image understanding. |
other,24-1-N03-4010,bq |
answering capability
</term>
on
<term>
free
|
text
|
</term>
. The demonstration will focus on
|
#3660
The JAVELIN system integrates a flexible, planning-based architecture with a variety of language processing modules to provide an open-domain question answering capability on free text. |