... A COMMON FRAMEWORK FOR ANALYSIS AND GENERATION
Allan t~ amsay
Department of Computer Science,
University College Dublin,
Belfield, DUBLIN 4, Ireland
ABSTRACT
It seems ... functional structure.
For the rule for S, for instance, we add an ele-
ment describing what the SUBJECT and PRED are
for. We could say that the SUBJECT is the
theme
and the PRED is the theme, ......
... supplied
with the enzyme, and contained Aba, Abb and Abcat
40 nm each, and the start and stop primers Abstart and
Abstop at 600 nm each, and 200 lm each of dATP, dCTP,
dGTP and dTTP. The product ... spectrometry, amino acid analysis and
sequencing
Amino acid analysis was performed at the Amino Acid
Analysis Center, University of Uppsala, Sweden. Sequence
analysis was p...
... classifier and alignment-based
string similarity for transliteration mining. These
methods model the conditional probability distribu-
tion and require supervised/semi-supervised infor-
mation for learning. ... least for alpha-
betic languages – and efficient. Unlike the pre-
vious unsupervised system, and unlike the super-
vised and semi-supervised systems we mentioned,
our mod...
... We develop
a framework for decisions made via in
pipeline models, which addresses these
difficulties, and presents and evaluates it
in the context of bottom up dependency
parsing for English. ... child of w before y
and z becomes x’s children, we can only consider
the relationship between w and y in the next stage.
Consequently, we will never find the correct parent
for y and...
... stop-
words (SW) and a function for extracting the stem
of a given word (ST).
Suppose we have a given NLP application for
which we want to evaluate the candidate answer
set Candidates for some input ... proposed candidate
answers, this formula is a precision-oriented
formula, penalizing verbose candidates. This
precision score, however, can be made artificially
higher when pro...
... grammatical and pro-
cessing framework for handling the repairs,
hesitations, and other interruptions in nat-
ural human dialog. The proposed frame-
work has proved adequate for a collection ... (urn) and speech re-
pairs (I mean) and give meta-comments on the ut-
terance (right).
specify how speech repairs should be handled
by the parser. (Hindle, 1983) and (Bear et...
... and its target
translation prefix T
p
. Our goal is to provide a set
of predictions based on C
t
and C
st
likely to
further translate S in terms of grammar and text.
For this, we transform ... text S and its
translation prefix T
p
into character-level and
3
Inspired by (Gamon and Leacock, 2010).
word-level ngrams respectively. Step (3) and (4)
retrieve the transla...
...
Rosner and Rupp, forthcoming).
The interaction between users
and implementers has figured
largely in the development of
the system, and a major reason
for the richness of its
language and ...
subscripts.
Three other special symbols
are used:
+ stands for the unifica-
tion operator
* stands for top, the
underdefined element.
# stands for bottom, the
overdefined el...
... machine,
and when the inference is distributed on an eight
core machine. Figure 6 plots the mean posterior
and standard error for five independent runs for
each scenario. Both sets of runs performed ... rules
of the form, X → e, f, a, where X is a non-
terminal, e and f are strings of terminals and non-
terminals and a specifies a one-to-one alignment
between non-terminals in e...
... marking up noun
chunks and named entities, as well as additional in-
formation such as part-of-speech tags and merging
these information into markables that are the start-
ing point for the mentions ... classical combination of tagger and chun-
ker, with the Stanford POS tagger (Toutanova et al.,
2003), the YamCha chunker (Kudoh and Mat-
sumoto, 2000) and the Stanford Named Entity...