... vs. be-at-i-fy).
3 Automatic Stress Prediction
Our stress assignment system maps a word, w, to a
stressed-form of the word, ¯w. We formulate stress
assignment as a sequence prediction problem. ... of
context-sensitive rules for producing English
stress from underlying word forms. Due to its
importance in text -to- speech, there is also a long
history of computational stress...
... system’s out-
put to the number of words in system’s output),
1
The unknown word rate for word segmentation is not equal
to the unknown word rate for POS tagging in general, since
the word forms of some ... nodes are used to identify
known words, and the character-level nodes are used
to identify unknown words, because generally word-
level information is precise and appropriate...
... bootstrapping
approach to named entity (NE)
classification. This approach only requires
a few common noun/pronoun seeds that
correspond to the concept for the target
NE type, e.g. he/she/man/woman for ... method for PER NE, LOC NE, and
ORG NE are 5%, 6%, and 34% respectively.
The performance for PER and LOC are above
80%, approaching the performance of supervised
learn...
...
C3200 before moving on to investigate a plan for
CS263. Since the teacher of C3200 has nothing to
do with the plan for taking C3263, the mechanisms
for retaining dialogue context will fail to iden- ... such ques-
tions implicitly by proceding to answer the ques-
tion or to seek information relevant to formulat-
ing an answer. However IS may refuse to accept
the ques...
... representational
capacity to make such definitions, we have chosen as
part of our design no_._tt to use it. For to use it, would
mean stepping outside of NIKL to specify constants,
and therefore, that the ... in formulae that lexical items map to. For in-
stance, vessel and ship map to VESSEL. In the ex-
ample above regarding pilot, the constants were PER-
SON, FLYING-EV...
... automatic constituent analysis. The
detailed distinctions made by the
subcategory symbols are devised with the
aim of providing helpful information for
automatic constituent analysis and, for ... us to derive
word tag adjacency statistics for
potential word tag disambiguation. But
no parsed corpus exists yet for the
purposes of derivln~ statistics for
disambiguating parsi...
... 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 ... reduction curves conforms to the MR-1R
curve, allow us to deduce that the electron transport
chain does not bifurcate any further, but ends at this
point before transferring electrons...
... disadvantage.
To choose the best summary, multiple candidates
should be generated and evaluated for each docu-
ment (or document cluster).
Following a different approach, Turney (2000)
used a GA to learn ... 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 wi...
... which acts as a “dummy 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 ... (1999) define an O(n
3
) parser for
split head automaton grammars that can be used
4
Alternatively, we could consider items of the form [i, i +
1, F, F ] to be hypotheses for this...
... Google
Scholar to perform better than BNC as source for
finding hypotheses for lexical variants, which may
be due to the larger amount of data available to
Google Scholar. This seems to outweigh ... concept-A accumulator list
which has not been used as an active element be-
fore.
Repeat steps 1-3 for k iterations
Output: top M words of concept-A (verb) accumulator list
and top N...