... 945–952,
Sydney, July 2006.
c
2006 Association for Computational Linguistics
HAL-based Cascaded Model for Variable-Length
Semantic Pattern Induction from Psychiatry Web Resources
Liang-Chih Yu and ... step to devise a text
mining framework for variable-length semantic
pattern induction from psychiatry web resources.
Traditional approaches to seman...
... present a novel model of transliteration min-
ing defined as a mixture of a transliteration model
and a non-transliteration model. The transliteration
model is a joint source channel model (Li et ... labelled information for training. Our sys-
tem extracts transliteration pairs in an unsupervised
fashion. It is also able to utilize labelled information
if available, obtaining improv...
... all models, and for the LM
we use an interpolated Kneser-Ney 5-gram model.
For GIZA ++, we use the standard training reg-
imen up to Model 4, and combine alignments
with grow-diag-final-and. For ... phrase pair. It
will be high for common phrase pairs that are gen-
erated directly from the model, and also for phrases
that, while not directly included in the model, are
compose...
... three lectures is-
used for estimating the optimal word block length
for representing nodes, the threshold distances for
discarding node edges, the number of uniform
chunks for estimating tf-idf ... to ad-
just our model to optimize its performance on the
synthetic data. The smoothing method developed
for lecture segmentation may not be appropriate
for short segments ranging fr...
... University) for excellent technical
assistance. This work was supported by grants from
the Swedish Foundation for Health Care Sciences and
Allergy Research, the Swedish Research Council for
Medicine ... the fate of an aller-
gen upon inhalation, we addressed this issue for a major dust mite allergen,
Der p 2. First, a model for Der p 2-sensitization was established in
C57BL ⁄ 6...
... different from query. For ex-
ample, given a query semantic web coordination”,
the corresponding topic may be either semantic
web or web coordination”. Similarly, person
here is different from ...
ways, not necessarily being identical to t. For ex-
ample, both topic semantic web and semantic
web search engine” can match the query semantic
web search engine”. The proba...
... use a nearly
identical model to the FLAT model, but instead of
having a single m variable, we have three: one for
IE, one for Austronesian and one for “all languages.”
For a general tree, we ... in Figure 3 (on a log-scale for the x-axis).
The two best-performing models are the two hier-
archical models. The flat model does significantly
worse and the random model does terribly...
... certain
kinds of shallow semantic information (such as verb
tense). The tags are useful for identifying verbs,
nouns, and adverbs, and the words themselves repre-
sent lexico -semantic information in the ... predicates
like force generally introduce E-type SEs:
(7) I forced [John to run the race with me].
(8) * I forced [John to know French].
The feature force-PREV is extracted if a memb...
... (kutb) for /kutib/ to distinguish
it from /katab/; and (iii) voealised texts in-
corporate full vocalisation, e.g. (tadahra]) for
/tada ay.
1We have used the CV model to describe pattern ... Syncopation A consonantal seg-
ment may be omitted from the
phonetic
surface
form, but maintained in the
orthographic sur-
face from. For example, Syriac (md/nt~)'city'...
... alterna-
tive techniques for directly inducing phrase-based
translation models from sentence aligned data.
Marcu and Wong (2002) proposed a phrase-based
alignment model which suffered from a massive
parameter ... method for performing inference over phrasal
SCFG, without compromising the strong theoreti-
cal underpinnings of our model.
6 Discussion and Conclusion
We have presented...