Báo cáo khoa học: "Memory-Based Learning: Using Similarity for Smoothing" ppt
Báo cáo khoa học: "Memory-Based Learning: Using Similarity for Smoothing" ppt
... Memory-Based Learning: Using Similarity for Smoothing
Jakub Zavrel and Walter
Daelemans
Computational Linguistics
Tilburg ... next section, we will argue that a for-
mal operationalization of similarity between events,
as provided by MBL, can be used for this purpose.
In MBL the similarity metric and feature weighting ... of statistical information is an impor-
tant iss...
Báo cáo khoa học: "Unsupervised Learning of Semantic Relation Composition" ppt
... chain of rela-
tions. This scheme, informally used previously for
combining HYPERNYM with other relations, has not
been studied for arbitrary pairs of relations.
For example, it seems adequate to ... [1] stands for (Winston et al., 1987), [2] for (Cohen and
Losielle, 1988) and [3] for (Huhns and Stephens, 1989).
lations. The conclusion of an axiom is identified us-
ing an algebra...
Báo cáo khoa học: "Active Learning-Based Elicitation for Semi-Supervised Word Alignment" pptx
... reducing human effort by selective elicitation of
partial word alignment using active learning tech-
niques.
3 Active Learning for Word Alignment
Active learning attempts to optimize performance
by ... M
t
from current iteration t for scoring the
links. Re-training and re-tuning an SMT system
for each link at a time is computationally infeasi-
ble. We therefore perform batch learning...
Báo cáo khoa học: "Global Learning of Typed Entailment Rules" ppt
... of
others, using two sources of information: lexico-
graphic resources and distributional similarity.
Lexicographic resources are manually-prepared
knowledge bases containing semantic information
on ... Area Under the
Curve (AUC) for recall in the range of 0-0.45 for all
algorithms, given background knowledge (knowl-
edge consistently improves performance by a few
points for all alg...
Báo cáo khoa học: "Unsupervised Learning of Narrative Event Chains" pptx
... on
the classification task for six possible relations be-
tween pairs of events: before, immediately-before,
included-by, simultaneous, begins and ends. We fo-
cus on the before relation because the ... transitive rule:
if run BEFORE fall and fall BEFORE injured
then run BEFORE injured
This increases the number of relations from 37519
to 45619. Perhaps more importantly for our task,
of all...
Tài liệu Báo cáo khoa học: "Statistical Decision-Tree Models for Parsing*" ppt
... (hlh2hs)P(flh3)
where
~'~)q(hlh2h3)
= 1 for all histories
hlhshs.
The optimal values for the A~ functions can be
estimated using the forward-backward algorithm
(Baum, 1972).
A decision-tree ... the
model. No information about the legal tags for a
word are extracted from the test corpus. In fact, no
information other than the words is used from the
test corpus.
For t...
Báo cáo khoa học: "Minimum Bayes Risk Decoding for BLEU" pptx
... decision rule is optimal for the
sentence or string error rate. It is not necessarily
optimal for other evaluation metrics as for example
the BLEU score. One reason for the popularity of
the ... values for the scal-
ing factors. Because search is performed using the
maximum approximation, these absolute values are
not needed during the translation process. In con-
trast to this,...
Báo cáo khoa học: "Web-based LRT services for German" ppt
...
WebLicht's own data exchange format TCF.
5 The TCF Format
The D-SPIN Text Corpus Format TCF (Heid et
al, 2010) is used by WebLicht as an internal data
exchange format. The TCF format allows the
combination ...
based data formats were developed beside the
TCF format (for example, an encoding for lexi-
con based data). In order to avoid any confusion
of element names between...
Báo cáo khoa học: "Bayesian Network, a model for NLP?" ppt
... decision
4
. T he inference stage exploits the
relationships for the propagation of the informa-
tion and the BN operates by information reinforce-
ment to label a pronoun. We applied all precedent
rules ... delim-
iter and the pronoun. We considered a third of the
corpus for training and the remaining for testing.
Our experiment was performed using 20-cross val-
idation.
Table1 summa...
Báo cáo khoa học: "Paraphrase Recognition Using Machine Learning to Combine Similarity Measures" ppt
... 2009.
c
2009 ACL and AFNLP
Paraphrase Recognition Using Machine Learning to Combine Similarity
Measures
Prodromos Malakasiotis
Department of Informatics
Athens University of Economics and Business
Patission ... s
2
. Then, for each s
1
, we compute
the nine values f
j
(s
1
, s
2
), where f
j
(1 ≤ j ≤ 9)
are the string similarity measures. Finally, we lo-
cate the s
1
with the b...