Báo cáo khoa học: "Rule Markov Models for Fast Tree-to-String Translation" pot
Báo cáo khoa học: "Rule Markov Models for Fast Tree-to-String Translation" pot
... the Association for Computational Linguistics, pages 856–864,
Portland, Oregon, June 19-24, 2011.
c
2011 Association for Computational Linguistics
Rule Markov Models for Fast Tree-to-String Translation
Ashish ... another threshold.
3 Tree-to-string decoding with rule
Markov models
In this paper, we use our rule Markov model frame-
work in the context of tree-to-string...
Báo cáo khoa học: "Learning Expressive Models for Word Sense Disambiguation" pot
... context. For example, among the
possible senses of the verb “run” are “to move fast
by using one's feet” and “to direct or control”.
WSD can be useful for many applications, includ-
ing information ... customized
for this monolingual task, the ILP approach signif-
icantly outperforms the majority sense baseline and
performs as well as the state-of-the-art system re-
porting r...
Tài liệu Báo cáo khoa học: "Incremental Parsing Models for Dialog Task Structure" doc
... 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 summariza-
tion), or online (for dialog ... to improved
performance for any method. One utterance of
context is best for shift-reduce and start-join; three
is best for the connection path method. The shift-
reduce method performs...
Tài liệu Báo cáo khoa học: "Cascaded Markov Models" pptx
... again form
a lattice and we can calculate the best path for
layer 2.
The Markov Model for layer 1 operates on the
output of the Markov Model for part-of-speech
tagging, the model for layer ...
Cascaded Markov Models
The basic idea of Cascaded Markov Models is to
construct the parse tree layer by layer, first struc-
tures of depth one, then structures of depth two,...
Báo cáo khoa học: "Employing Topic Models for Pattern-based Semantic Class Discovery" doc
... perform preprocess-
ing (refer to Section 3.4 for details) before build-
ing topic models for C
R
(q), where some low-
frequency items are removed.
Determine the number of topics: Most topic
models ... number k. We fix the k value for all dif-
ferent query item q, as has been done for the top-
ic model approach. For fair comparison, the same
postprocessing is made for all th...
Báo cáo khoa học: "Re-Ranking Models For Spoken Language Understanding Marco Dinarelli University of Trento Italy" potx
... hypothesis is given by
C = project
C
(bestpath
1
(λ
SLU
)),
where bestpath
n
(in this case n is 1 for the 1-best
hypothesis) performs a Viterbi search on the FST
203
and outputs the n-best hypotheses ... hypotheses. This means that
re-ranking the m-best hypotheses in a convenient
way could improve the SLU performance. The
best choice in this case is a discriminative model,
since it allows...
Báo cáo khoa học: "Flow Network Models for Word Alignment and Terminology Extraction from Bilingual Corpora" docx
... 1993), for example, allow to take
this fact into account.
We can envisage more complex models, in-
cluding distortion parameters, multiword no-
tions, or information on part-of-speech, infor- ... can simplify the above formula and write:
le+l 1
P(a,e,,f,)= ]-I p(ei,f~ilal
)i-1 (5)
i=1
where a~ -1 is a shorthand for
(al, ,ai-1).
p(ei, f~,)
is a shorthand for
p(a~(ei)
= f~,...
Báo cáo khoa học: "Latent Variable Models for Semantic Orientations of Phrases" pdf
... (z|n) =
ac
f
nac
¯
P (z|nac)
ac
f
nac
. (13)
For classification, we use the formula :
P (c|na) =
z
P (c|az)P (z|n). (14)
3.3 Other Models for Comparison
We will also test the 3-PLSI model ... the clusters that are suitable for our task,
by incorporating the new variable c for semantic
orientation in the EM computation.
5 Conclusion
We proposed models for phrases with semant...
Báo cáo khoa học: "Smaller Alignment Models for Better Translations: Unsupervised Word Alignment with the 0" potx
... the Association for Computational Linguistics, pages 311–319,
Jeju, Republic of Korea, 8-14 July 2012.
c
2012 Association for Computational Linguistics
Smaller Alignment Models for Better Translations:
Unsupervised ... d, but the differences do not concern us
here. All three models, as well as IBM Models 3–5,
share the same t. For further details of these models,
the reader is...
Báo cáo khoa học: "Exemplar-Based Models for Word Meaning In Context" pptx
... a fundamental problem for distributional models.
Typically, distributional models compute a single
“type” vector for a target word, which contains co-
occurrence counts for all the occurrences ... 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
(...
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