...
seeds are retrieved from the repository to
train a decision list for NE classification.
3. The learned rules are applied to the NE
candidates stored in the repository.
4. The proper names tagged ... 86.7%
To benchmark the quality of the automatically
constructed corpus (Table 2), the testing corpus is
first processed by our parser and then saved into
the repository. The reposi...
...
"The text? "
will be the variable term
_book: &TEXTS
This term associates with the term
_txt : &TEXTS
appearing at the node for the action
Learn- Text ( IS, txt: &TEXTS ... the top element of the discourse stack
and suggests potential discourse goals which IS
might be expected to pursue. The plan analysis
component uses the context tree and the belief
mod...
...
SThe ruJels may need to be used tecureively to get to a constanL
aEvery expression in WML has a type.
4.1.¢
Knowledge Acquisition
We have developed two complementary tools to
greatly increase ... has a
role from A to B (or from B to A) can be referred to by
a definite NP. This has not yet been integrated into
the Janus model of reference processing [4].
4.3.2. Metonymy...
...
word token in the corpus. Error analysis
and subsequent modification to the system
resulted in over 96 per cent of word
tags being correctly assigned
automatically. The remaining 3 to ~ per ... human post-editors.
~brk is now in progress to devise a
suite of programs to provide a
constituent analysis of the sentences in
the corpus. So far, sample sentences
have been automati...
... these cytochromes have been proposed to be ter-
minal Fe(III) and Mn(IV) reductases, although their role in the reduction
of other metals is less well understood. To obtain more insight into this,
we ... Journal compilation ª 2007 FEBS
A kinetic approach to the dependence of dissimilatory
metal reduction by Shewanella oneidensis MR-1 on the
outer membrane cytochromes c OmcA and OmcB
J...
... op-
eration.
3
http://www.extractor.com/
928
Today, graph-based text representations are be-
coming increasingly popular, due to their abil-
ity to enrich the document model with syntactic
and semantic relations. Salton ... 1997;
Satoshi et al., 2001) and length-based (Satoshi et
al., 2001).
Considered the first work on sentence scoring
for automated text summarization, Luhn (1958)
bas...
... head” for the
sentence. In order for the algorithm to parse sen-
tences correctly, we will need to define D-rules to
allow w
0
to be linked to the real sentence head.
3.3 ES99 (Eisner and Satta, ... in Sikkel (1994) to
relate this head-corner algorithm to parsers analo-
gous to other algorithms for context-free grammars.
In this way, we can refine the head-corner parser
to a v...
... are
superficially similar to the correct contexts. While
string-based approaches (Paice, 1981; Teufel,
1998) are too restrictive to cover the wide varia-
tion within the correct contexts, bag-of-words ... “*”) are lem-
matised.
Syntactic contexts, as opposed to window-based
contexts, constrain the context of a word to only
those words that are grammatically related to
it. We use verb...
... overlay of graphics on text is in
many ways equivalent to the overlay of prosody on
speech Just as prosody undoubtedly contributes
to the meaning of utterances, so too does a text s
graphical presentation ... presented here aims to address this
problem. Our model provides an enabling foun-
dation toward a linguistic approach by first shift-
ing to a two-dimensional CFG framework....
... match at all. But full NLP
is too slow for this application, and partial matches
do seem to be useful to its users, i.e. do seem to lead
to licensing of photos.
Using the output of the part-of-speech ...
sive. In some ways, it is almost too large to be use-
ful. Algorithms had to be added, for example, to
select which of many choices made the most sense.
Moscow is a town...