Báo cáo khoa học: "Reduced n-gram models for English and Chinese corpora" ppt
Báo cáo khoa học: "Reduced n-gram models for English and Chinese corpora" ppt
... Association for Computational Linguistics
Reduced n-gram models for English and Chinese corpora
Le Q Ha, P Hanna, D W Stewart and F J Smith
School of Electronics, Electrical Engineering and Computer ... traditional models, which include all
n-grams. In our experiments, the reduced
n-gram Zipf curves are first presented,
and compared with previously obtained
conv...
Báo cáo khoa học: "Exemplar-Based Models for Word Meaning In Context" pptx
... contextual features for all
the senses of the target. For example, among the
top 20 features for coach, we get match and team
(for the “trainer” sense) as well as driver and car
(for the “bus” sense). ... Distributional models have been used
in many NLP analysis tasks (Salton et al., 1975;
McCarthy and Carroll, 2003; Salton et al., 1975), as
well as for cognitive modeling...
Tài liệu Báo cáo khoa học: "Incremental Parsing Models for Dialog Task Structure" doc
... utter-
ances and automatically annotated with part-of-
speech tag and supertag information and named
entities. They were annotated by hand for dia-
log acts and tasks/subtasks. The dialog act and
task/subtask ... types of infor-
mation provide rich clues for building dialog mod-
els (Grosz and Sidner, 1986). Dialog models can
be built ofine (for dialog mining and summari...
Báo cáo khoa học: "Employing Topic Models for Pattern-based Semantic Class Discovery" doc
...
“documents”, “words”, and “topics”. To further
improve efficiency, we also perform preprocess-
ing (refer to Section 3.4 for details) before build-
ing topic models for C
R
(q), where some ... modeling pro-
vides a formal and convenient way of grouping
documents and words to topics. In order to apply
topic models to our problem, we map RASCs to
documents, items to words, a...
Báo cáo khoa học: "Learning Expressive Models for Word Sense Disambiguation" pot
... expres-
sive representation formalism, a range of (shallow
and deep) knowledge sources and ILP as learning
technique, it is possible to generate models that,
when compared to models produced by machine ...
tagged corpus and sense repositories provided for
verbs in Senseval-3. There are 32 verbs with be-
tween 40 and 398 examples each. The number of
senses varies between 3...
Báo cáo khoa học: "Re-Ranking Models For Spoken Language Understanding Marco Dinarelli University of Trento Italy" potx
... (Shawe-Taylor
and Cristianini, 2004) and tree kernels (Raymond
and Riccardi, 2007; Moschitti and Bejan, 2004;
Moschitti, 2006) to implicitly encode n-grams and
other structural information in ... baselines FST and SVMs, and the re-ranking
models (RR) applied to FST. A, B and C refer
to the three approaches for generating training in-
stances described above. As already men...
Báo cáo khoa học: "Rule Markov Models for Fast Tree-to-String Translation" pot
... 1.
858
Here, n
1
and n
2
are the total number of n-grams with
exactly one and two counts, respectively. For our
corpus, D
1
= 0.871 and D
2
= 0.902. Additionally,
we experiment with 0.4 and 0.5 for D
n
.
Pruning ... outperforms minimal rules, and performs at the same
level as composed and vertically composed rules, but is smaller and faster. The number of parameters is shown...
Báo cáo khoa học: "Flow Network Models for Word Alignment and Terminology Extraction from Bilingual Corpora" docx
... of associ-
ating English and French words, one way to find
the preceding alignment is to search for the most
1All the examples consider English and French as the
source and target languages, ... probabil-
ities between English and French words, and
in which we impose that any English, respec-
tively French word, has to be aligned with one
and only one French, resp....
Báo cáo khoa học: "Latent Variable Models for Semantic Orientations of Phrases" pdf
... the models, where one random variable
corresponds to nouns and another random vari-
able corresponds to adjectives. The words that
are similar in terms of semantic orientations, such
as “risk” and ... + f
c
, (17)
where |N | and |A| are the numbers of the words
for n and a, respectively.
Thus, we have four different models : naive
bayes (baseline), 3-PLSI, triangle, and U-shape...
Báo cáo khoa học: "Smaller Alignment Models for Better Translations: Unsupervised Word Alignment with the 0" potx
... F1)
when possible. For Arabic -English and Chinese-
English, we used 346 and 184 hand-aligned sen-
tences from LDC2006E86 and LDC2006E93. Sim-
ilarly, for Czech -English, 515 hand-aligned sen-
tences ... and to the anonymous reviewers for
their valuable comments. We thank Jason Riesa for
providing the Arabic -English and Chinese -English
hand-aligned data and the al...