... the area of cross-document
coreference, and is also leading us to investigate
visual ways to define queries that go beyond the
paragraph and span many texts over many years.
Finally, we are hoping ... exist in an interac-
tive environment. Specifically, we classify each
paragraph in our document collection into one of
several interested financial areas. Examples in-
clude: Accounting Rule Change, ... IJCAI ’99 Workshop on Information Filtering.
Lodhi, H., Saunders, C., Shawe-Taylor, J., Cristianini,
and N., Watkins, C. 2002. Text classification using
string kernels. Journal of Machine Learning...
... pronominal and
otherwise, has been a popular research area in
Natural Language Processing for more than two
decades, with extensive documentation of both
the rule-based and the machinelearning approach.
For ... system are summarised
in Table 4.3. The individual features for anaphor
AMachineLearningApproach to German Pronoun Resolution
Beata Kouchnir
Department of Computational Linguistics
Tăubingen ... the an-
tecedent
dist distance in markables
between anaphor and an-
tecedent (1 20)
same agr same agreement of anaphor
and antecedent?
same gramrole same grammatical role of
anaphor and antecedent?
same...
... embedding ina sentence
6. ana
gram func grammatical function of anaphor
7. ana
npform form of anaphor
8. ana
agree person, gender, number
9. ana
case grammatical case of anaphor
10. ana
s depth ... contained an NP-markable at the current posi-
tion and if this markable was not an indefinite noun
phrase, it was considered a potential anaphor. In
that case, pairs of potentially coreferring ... grammatical case and the
depth of embedding in the syntactical structure.
For these features, each instance contains one
value for the antecedent and one for the anaphor.
Coreference-level features,...
... containing 1% CaCl
2
for
1 min. The dye incorporated into viable cells was extracted
with 50% ethanol containing 1% acetic acid, and absorb-
ance at 540 nm was measured.
3462 K. Ishihara et al. ... examined the effects of SA on stress response
in mammalian cells using a simple screening system, and
revealed that SA is a potent Hsp inducer in mammalian
cells, thereby protecting cells against ... several neurodegenerative disorders
including Alzheimer’s, polyglutamine and Parkinson’s
disease are though to be caused by an accumulation of
protein aggregates in the brain [24], and Hsps such as
Hsp70...
... prize award
domain. One of the target relationsin the domain is
about a person who obtains a special prize ina cer-
tain area ina certain year, namely, a quaternary
tuple, see (3). (4) is a ... (6) in
a straightforward way.
4.2 Rule Validation: Ranking and Filtering
Our ranking strategy has incorporated the ideas
proposed by Riloff (1996), Agichtein and Gravano
(2000), Yangarber ...
Abstract
A minimally supervised machinelearning
framework is described for extracting rela-
tions of various complexity. Bootstrapping
starts from a small set of n-ary relation in-
stances...
... Brockett.
2001. Amachinelearningapproach to the automatic eval-
uation of machine translation. In Proceedings of the 39th
Annual Meeting of the Association for Computational Lin-
guistics, July.
Thorsten ... Gildea. 2005. Syntactic features for
evaluation of machine translation. In ACL 2005 Workshop
on Intrinsic and Extrinsic Evaluation Measures for Machine
Translation and/or Summarization, June.
Ding ... Evaluation with MachineLearning
A good automatic evaluation metric can be seen as
a computational model that captures a human’s de-
cision process in making judgments about the ade-
quacy and...
... Lundmark M, Cavaco AM, Trevanion S & Hurry V
(2006) Carbon partitioning and export in transgenic
Arabidopsis thaliana with altered capacity for sucrose
synthesis grown at low temperature: a ... gas
analysis system (Uras 3 G; Hartmann & Braun AG, Frank-
furt am Main, Germany). A whole-rosette cuvette design
was used as described in [31]. Gas exchange was measured
in the growth chamber ... simulation
A mathematical model was developed, representing central
carbohydrate metabolism in leaves of A. thaliana. The
model was based on the following system of ordinary dif-
ferential equations...
... in Computer Science 3230: Ad-
vances in Natural Language Processing.
Suleiman H. Mustafa, 2004. Character contiguity in
N-gram-based word matching: the case for Arabic
text searching. Information ... Comparisons with
variant n-gram approaches, which are the leading
approaches, are performed for verifying the effec-
tiveness of our approach. Although LCS approach
results in better extraction ... MWE repeats itself constantly in
corpus(Taneli,2003).
The extraction of MWE plays an important role
in several areas, such as machine translation (Pas-
cale,1997), information extraction (Kalliopi,2000)
etc....
... Korean lan-
guage, many researchers have adopted a
traditional WS approach, which eliminates
all spaces in the user input and re-inserts
proper word boundaries. Unfortunately,
such an approach ... method
significantly outperforms a state-of-the-art
Korean WS model when the user input ini-
tially contains less than 10% spacing er-
rors, and performs comparably for cases
containing more spacing errors. ... intentional or un-intentional spacing
errors; and even a few spacing errors can cause
error-propagation for further NLP stages.
For written languages that have WBMs, such as
for the Korean language,...
... sets) as
optimising training data. For each set of training
data we extracted a context of an increasing num-
ber of tokens (from 10 to 1,000 in increments of 10)
both before and ina window
4
around ... that performance in a
given topic is best if the training data is from the
same topic. For example, the Finance-trained SVM
classifier achieved an accuracy of 78.8% against ar-
ticles from Finance, ... experi-
ments in total.
cons dataset was exhausted.
It appears possible that more training data will im-
prove the performance of the Emoticon-trained clas-
sifiers by increasing the coverage. Potential...