... non -named entity. For 98.0% of
the named entities inthe training data of the shared
task inthe 2004 JNLPBA, the label of the preced-
ing entity was “O”.
In order to incorporate such non-local informa-
tion ... 100.00
because the number of namedentity classes tends
to be large, andthe training data typically contain
many long entities, which makes it difficult to enu-
merate all theentity candidates in training. ... the
final performance. In this experiment, we could
not examine the performance without filtering us-
ing all the training data, because training on all
the training data without filtering required much
larger...
... for
English and French using the INTEx/UNITEx
finite state toolbox (Silberztein, 1993). The
resulting system has been described in (Poibeau
and Kosseim, 2001). Resources are currently
being defined and ... potentially
suggests another category for thenamed entity
(for example,
Mrs. Washington) the system will
revise the initial tag and put the new category on
the concerned word (isolated occurrences of
Washington ... results to the
ones obtained for French and English. This
multilingual namedentity recogniser is already
used in a wider project concerning corpus
alignment. The idea is to use cognates and
named...
... two
elements in ClpA, one inthe N -domain andthe other
in the pore of the ClpA hexamer. Inthe case of short
unstructured peptides or unfolded proteins such as
casein, binding to the tyrosine residues in ... three
domains: an N -domain and two ATP-binding domains
referred to as the D1 and D2 domains. Interestingly,
deletion of the N -domain from ClpA not only abol-
ishes binding of the adaptor protein, ClpS, but ... analysed, including both folded and unstructured proteins.
Taken together, these data suggest that ClpA utilizes two structural ele-
ments, one inthe N -domain andthe other inthe pore of the hexamer,...
... simplifies the process
of building, understanding, and customizing com-
plex rule-based named- entity annotators for differ-
ent domains.
Recently, NER for Tweets attracts growing inter-
est. Finin et ... empirical study. InIn Proceedings of Un-
certainty in AI, pages 467–475.
David Nadeau and Satoshi Sekine. 2007. A survey of
named entityrecognitionand classification. Linguisti-
cae Investigationes, ... model,
which is constructed inthe following manner. We
first introduce a random variable for each word in
every tweet, which represents the BILOU (Begin-
ning, the Inside andthe Last tokens of multi-token
entities...
... compared andthe longest
candidate is selected. Therefore, the candidates
overlapping the selected candidate are removed
from the candidate set. Thisprocedure is repeated
until the candidate ... empty.
The rank of a candidate starting at the
-
th word boundary and ending at the
-th word
boundary can be represented by a pair .
The beginning of a sentence is the zeroth word
boundary, andthe ... than 50% of the word/class
pairs inthe training data.
3 Results
Now, we compare our method with the ME
system. We used the standard IREX training
data (CRL NE 1.4 MB and NERT 30 KB) and
the formal...
... writing process resulted in either an unin-
tentional significant reduction inthe probability of treatment
being timely and effective or an unintentional significant
increase inthe risk of harm when ... prescribing errors [13].
Most of the errors were defined as 'minor' in outcome and, as
such, did not cause the patient harm but, in some cases, may
have lead to an increase in monitoring ... adverse incident reports. Patient outcome was assessed
by the pharmacist and clinical director, who were not blinded
to the prescribing system; this could have introduced the
potential for bias in the...
... entered into the 2003 NBI. The delay may be due to a lag between
inspection and entry of data into the NBI. Therefore, data on bridges built during 2001 and 2002 may
be incomplete. The incomplete ... maintaining the NBI is to monitor the condition of bridges
carrying public highways. Therefore, for funding and reporting purposes, the FHWA considers only
structures meeting the following criteria:
• ... for the application of this information. The Portland Cement Association DISCLAIMS
any and all RESPONSIBILITY and LIABILITY for the accuracy of the application of the information
contained in...
... 1% inthe Ciskei bought their
food from the farm gate. This finding is consistent with information that has established
the decline of agriculture generally inthe province. Inthe Ciskei, the ... significantly high and are
close to the 2008 peak levels, with the World Bank Food Price Index increasing by 33
percent inthe last year. Investigating what people buy andthe factors influencing their ... long way in influencing the target market and marketing approach to drive the
demand of organics. The second LDF 2 identified the person responsible for shopping andthe
location of the consumer...
... to
‘diffuse’ into the myofibrils, is also evident in the
Fabry mice (Fig. 7A). The VT1 binding inthe Fabry
mouse lung (Fig. 7C) was increased inthe bronchiolar
epithelium. Staining of bronchiolar epithelial ... excess staining was removed by immersing sections in
distilled water for 4 min and ‘blued’ by immersing in tap
water for 4 min. Sections were then dehydrated for 2 min.
in each of 70%, 95% and 100% ... 6A), but within the Fabry liver
VT1 binding detected Gb
3
in the stellate Kupffer cells,
distributed throughout the section, andin cells lining
the portal triad. The levels detected in Fabry mouse
liver...
... for named
entity recognition. In Proceedings of
EMNLP/CoNLL, 698-707.
Milne, D., O. Medelyan and I. Witten. 2006. Min-
ing domain- specific thesauri from Wikipedia: a
case study. Web Intelligence ... If it is, the links within are checked to
see whether there is a dominant type. For instance,
the page “Amanda Foreman” is a disambiguation
page, with each link on the page leading to an
easily ... identifies words and phrases within the
text that might represent entities, primarily through
the use of wikilinks. The system then uses catego-
ry links and/ or interwiki links to associate...