Báo cáo khoa học: "Cross Lingual Adaptation: An Experiment on Sentiment Classifications" pdf
Báo cáo khoa học: "Cross Lingual Adaptation: An Experiment on Sentiment Classifications" pdf
... 2010 Conference Short Papers, pages 258–262,
Uppsala, Sweden, 11-16 July 2010.
c
2010 Association for Computational Linguistics
Cross Lingual Adaptation: An Experiment on Sentiment Classifications
Bin ... Chinese and train a clas-
sifier, or one can train a classifier on (y, x
s
) and
translate x
t
in Chinese into x
s
in English so as to
use the classifier. But as the conditional...
Tài liệu Báo cáo khoa học: "Cross-lingual Parse Disambiguation based on Semantic Correspondence" pptx
... Disambiguation based on Semantic Correspondence
Lea Frermann
Department of Computational Linguistics
Saarland University
frermann@coli.uni-saarland.de
Francis Bond
Linguistics and Multilingual Studies
Nanyang ... pre-selection that can speed
up manual treebanking.
1 Introduction
Treebanks, sets of parsed sentences annotated with a
sytactic structure, are an important resource in NLP.
The...
Báo cáo khoa học: "Cross-Lingual Mixture Model for Sentiment Classification" ppt
... on sentiment classi-
fication of text in various genres and in many lan-
guages. For example, Pang et al. (2002) focus on
sentiment classification of movie reviews in English,
and Zagibalov and ... paper and outline the future plan in Section 5.
2 Related Work
In this section, we present a brief review of the re-
lated work on monolingual sentiment classification
and cross -lingua...
Báo cáo khoa học: "Cross-Lingual Genre Classification" pdf
... afore-
mentioned advantages to poorly-resourced lan-
guages. This reduces the need for manual annota-
tion of text corpora in the target language. Manual
annotation is an expensive and time-consuming
task, ... mapped from one language
to another. This can be done in an unsupervised
fashion, as long as enough data is present in both
source and target language (cf. Section 3.1). An
easy a...
Báo cáo khoa học: "Cross-Lingual Latent Topic Extraction" pot
... al.,
2004), contextual topic analysis (Mei and Zhai,
2006), dynamic and correlated topic models (Blei
and Lafferty, 2005; Blei and Lafferty, 2006), and
opinion analysis (Mei et al., 2007; Branavan et ... languages where if one word can be poten-
tially translated into another word, the two words
would be connected with an edge. An edge can
be weighted based on the probability of the cor...
Báo cáo khoa học: "Cross-Language Document Summarization Based on Machine Translation Quality Prediction" pdf
... ACM Transactions on Speech and Language Proc-
essing (TSLP), 4(2).
C. Orasan, and O. A. Chiorean. 2008. Evaluation of a
Crosslingual Romanian-English Multi-document
Summariser. ... Section 6 and conclude this paper
in Section 7.
2 Related Work
2.1 Machine Translation Quality Prediction
Machine translation evaluation aims to assess the
correctness and quality of the translation. ......
Tài liệu Báo cáo khoa học: "Transition-based parsing with Confidence-Weighted Classification" pdf
... classification and show that the ones
based on standard deviation rather than variance
yield the best results. Our experiments have con-
firmed this, so in all experiments the update-rule
from equation ... using confidence-weighted learn-
ing.
2 Transition-based parsing
Transition-based parsing builds on the idea that
parsing can be viewed as a sequence of transitions
between states. A trans...
Báo cáo khoa học: "Word Clustering and Disambiguation Based on Co-occurrence Data" pdf
... Cv),
and the conditional prob-
abilities
P(nlCn )
and
P(vlCv ).
Since these alternatives are
approximations of one another asymptotically, here we use
only the simplest formulation. In ... data.
We hand-labeled the test data with the correct dis-
ambiguation 'answers.'
We performed clustering on the nouns on the
left position and the nouns on the right position in...
Báo cáo khoa học: "Automatically generating annotator rationales to improve sentiment classification" docx
... gener-
ation o f rationales (Section 3). T he experimental
results are presented in Section 4, followed by re-
lated work (Section 5) and conclusions (Section
6).
2 Contrastive Learning with SVMs
Zaidan ... no anno-
tator rationales vs. two variations of human an-
notator ration ales. HUMANR treats each rationale
in the same way as Zaidan et al. (2007). HU-
MANR@SENTE NC E extends the human...
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