... Proceedings of the ACL-IJCNLP 2009 Conference Short Papers, pages 281–284,
Suntec, Singapore, 4 August 2009.
c
2009 ACL and AFNLP
Efficient InferenceofCRFsfor Large- ScaleNaturalLanguage Data
Minwoo ... setting of parameters. We also
present a simple but robust variant algorithm in which
CRFs efficiently learn and predict large- scale natural
language data.
2 Linear-chain CRFs
Many versions ofCRFs ... s for ours) and 7∼12 times faster for decod-
ing (2.881 ms for MALLET, 5.028 ms for CRF++, and
0.418 ms for ours). This result demonstrates that learn-
ing and decoding CRFsfor large- scale natural...
... produce largescale lexical re-
sources which include frequency and usage infor-
mation tuned to genres and sublanguages. Such
resources are critical fornaturallanguage process-
ing (NLP), both for ... enhancing the performance of
state -of- art statistical systems and for improving the
portability of these systems between domains.
One type of lexical information with particular
importance for NLP is ... Meeting of the Association of Computational Linguistics, pages 912–919,
Prague, Czech Republic, June 2007.
c
2007 Association for Computational Linguistics
A System for Large- Scale Acquisition of...
... number of records processed for each cluster size
is therefore 5.6 million times the number of nodes. The perfor-
mance of each system not only illustrates how each system scales
as the amount ofdata ... “represen-
tative of a large subset of the real programs written by users of
MapReduce” [8]. For this task, each system must scan through a
data set of 100-byte records looking for a three-character ... Vertica)
allows for optional compression of stored data. It is not uncom-
mon for compression to result in a factor of 6–10 space savings.
Vertica’s internal data representation is highly optimized for data
compression...
... results for algorithms 1 and 4 on
the Europarl data (ep) for different devtest and test
sets. Europarl data were used in all runs for train-
ing and for setting the meta-parameter of number
of epochs. ... learning for SMT not only to large feature
sets but also to large sets of parallel training data.
Since inferencefor SMT (unlike many other learn-
ing problems) is very expensive, especially on large
training ... the results of the experimental
comparison of the 4 algorithms of Section 4. The
7
Absolute improvements would be possible, e.g., by using
larger language models or by adding news data to the...
... levels of capi-
talization of maize production – although of
course these existed too. On average, maize
production attracted large- scale farmers who
were capital-poor, and whose use both of
capital ... first half of the
1960s, in the form of adoption of (publicly
bred) hybrid maize varieties and increased
application of synthetic fertilizers. The key
event here was the release of locally ...
of ‘under cultivation’) and – to an even greater
extent – of employment.
2
In terms of cov-
erage, data or estimates based on secondary
sources are available for PF and LSF crop are
-
as for...
... At present none of the small scale paper mill
in India is using chlorine dioxide because of the involvement of high cost of
installation of chlorine dioxide plant and high cost of chlorine dioxide ...
conditions for bleaching of pulp collected from respective paper mills. The
level of AOX varied from 5.0 to 9.0 kg/t of pulp while in case of Mill C , the
level of AOX was about 18.0 kg/t of pulp.
-16-
... studies conducted on status of technology and level of AOX,
the following recommendations are made:
(i) Majority of the mills are using low dosages of caustic for cooking of mixed
fibrous raw materials...
... auto-
matic techniques to large- scale parallel corpora
where data sparsity poses a problem for low-
frequency terms. Data sparsity is also an issue
for more general state -of- the-art bilingual align-
ment ... access to large archives of
spoken language (Gustman, et al., 2002). Our
process leverages a small set of manually-
acquired English-Czech translations to translate a
large ontology of keyword ... hours
of video testimonies in 32 languages. Starting
from an initial out -of- vocabulary (OOV) rate of
85%, we show that a small set of prioritized
translations can be elicited from human infor-
mants,...
... dimension for
each vector, its runtime is linear in the number of vectors,
so detection can scale to large logs.
PCA. PCA is a coordinate transformation method that
maps a given set ofdata points ... insuf-
ficient for effective problem determination [14].
We propose a general approach for mining console
logs for detecting runtime problems in large- scale sys-
tems. Instead of asking for user input ... count. Dimen-
sions of the vector consist of (the union of) all useful mes-
sage types across all groups, and the value of a dimension
in the vector is the number of appearances of the corre-
sponding...
... algorithm for obtaining word clas-
sifications for predictive class-based language models
with which we were able to use billions of tokens of
training data to obtain classifications for millions of
words ... Jeffrey Dean. 2007. Largelanguage models
in machine translation. In Proceedings of the Con-
ference on Empirical Methods in Natural Language
Processing and on Computational Natural Language
Learning ... fraction of the words
for exchange will increase the number of iterations
required to converge. In experiments we empirically
determined that choosing a subset of roughly a third
of the size of the...
... performance in terms of the expected number of routing hops and the number of
messages exchanged as part of a node join operation. This section focuses on another
aspect of Pastry’s routing performance, ... more of the issues and requirements of such applications and sys-
tems [1, 2, 5,8,10,15]. One of the key problems in large- scale peer-to-peer applications
is to provide efficient algorithms for ... design of
a large- scale event notification infrastructure. Submitted for publication. June 2001.
http://www.research.microsoft.com/ antr/SCRIBE/.
23. M. A. Sheldon, A. Duda, R. Weiss, and D. K. Gifford....
... beamforming for high-speed
data transmission. We assume that the number of RF cha ins is smaller than the number of antennas, which
motivates the use of antenna selection to exploit the beamforming ... single-run performance of the antenna selection
algorithm in [10] is also shown. In Figure 5, the average
performance of 100 runs for the above schemes is plotted
in a larger span of iterations. ... performance requireme nt in order to guar-
antee that the actual performance of the selected sub-
set meets the requirement with minimum number of
selected antenna.
Performance of adaptive beamforming
Figure...