... 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,...
... A machine- learningapproach to the identification of WH gaps
Derrick Higgins
Educational Testing Service
dchiggin@alumni.uchicago.edu
Abstract
In this paper, we pursue a multi-
modular, statistical ... identifying gaps could also aid
in automatic lexical acquisition techniques. Many
other applications are imaginable as well, using
the gap location to inform intonation, semantics,
collocation ... this paper consists in the de-
velopment of a machine- learningapproach to the
identification of WH gaps. This approach reduces
the lexical prerequisites for this task, while main-
taining a high...
... 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...
... 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....
... 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...
... barriers and
challenges. According to Welle-Graf (2000), maintaining service-leaning partnerships requires
substantial ongoing support, training, and management. Having a designated office and ...
Community-Based Health Education Intervention: A Service -Learning
Approach
Srijana M. Bajracharya, Associate Professor, Department of Health Promotion and Physical
Education, Ithaca College
A variety ... is a win-win situation for all involved. For students, such experiential
learning can be most valuable and meaningful.
Evidence of participation in service -learning projects can be a valuable...
... Does intra-firm bargaining matter for Michael Krause
business cycle dynamics? Thomas Lubik
18 2007 Uncertainty about perceived inflation target Kosuke Aoki
and monetary policy Takeshi ... conditions visiting researchers have access to a wide range of data in the
Bundesbank. They include micro data on firms and banks not available in the public.
Visitors should prepare a research project ... marketability of bank assets and managerial Falko Fecht
rents: implications for financial stability Wolf Wagner
31
07 2008 Which interest rate scenario is the worst one fora bank?...
... essential, as pattern-based approach is enhanced
with the supervised machine learning.
In this paper, we propose a novel approach to
automatic synonym identification based on super-
vised learning ... proposed a novel approach to au-
tomatic synonym identification based on supervised
machine learning and distributional features. For
this purpose, we re-formalized synonym acquisition
as a classification ... Dagan, and Maayan Geffet. 2006.
Integrating pattern-based and distributional similarity
methods for lexical entailment acquisition. Proc. of
COLING/ACL 06, 579–586.
Brian Roark and Eugene Charniak....