... extraction of terminological
noun phrases. In
Proceedings of COLING'92,
pages 977-981, Nantes, France.
Mark Dras. 1997. Representing paraphrases us-
ing synchronous tree adjoining grammars. In ... terminologist in the construction
of a structured terminology (cf. figure 1) pro-
viding :
• terms of a domain, i.e. simple or com-
plex lexical units pointing out accurate con-
cepts in ... d'investissement de la ligne
(cost of investissement of
the
line)
d6clenchement de la ligne
9
(tripping
of
the
line)
E
longueur de la ligne (size of the line)
puissance caract@ristique...
... including the number of
documents, annotated CEs, coreference chains, annotated
CEs per chain (average), and number ofdocumentsin the
train/test split. We use st to indicate a standard train/test ... outline the differences between the
MUC and ACE coreferenceresolution tasks, and
define terminology for the rest of the paper.
Noun phrase coreferenceresolution is the pro-
cess of determining ... runs using an
optimal threshold (box 3) for the experiment as de-
termined by using the test set. In all remaining ex-
periments, we learn the threshold from the training
set as in the BASELINE...
... given in Fig.1.
In Fig.l, verbs associated are limited to a
few ones such as Do (obJ = musical instrument)~
Pla~ (obJ = musical instrument). Becsuse, from
the definition of musical instrument ...
(1) Find a pair of verb and associated transla-
tion equivalent (Do, Play : ~9-& ) that can
be associated in common to a part of the
structure of the categories as in Fig.l, and
then find ... nouns belonging
to nearby categories in the given concepts
structure and find a nouns group to which we
associate the translation equivalent.
In this manner, we can find pairs of verb and...
... human beings. We no longer are dealing with
Fisher’s dierent strains of seeds, strewn on diering kinds of soil in a randomized trial. We
now have human beings, not seeds, and the resulting clinical ... baseline manic-switch rate of about
5% over two months of observation, and further assume that the minimal “clinically” relevant
dierencetobedetectedisadoublingofalleventsata10%rateinthelamotriginegroup,
the ... conrmatory, of any
hypothesis).
Clinical example: olanzapine prophylaxis of bipolar disorder
In an RCT of olanzapine added to standard mood stabilizers (divalproex or lithium) for
prevention of mood...
... the
training data to measure the impact of each of the
four subsets of features explained in Section 3. Ta-
ble 3 shows the cross validation results when cu-
mulatively adding each set of features. ... Stages ofClinical In-
formation Extraction: the State of the Art at i2b2
2010. J Am Med Inform Assoc.
Chih-Chung Chang and Chih-Jen Lin, LIBSVM: a Li-
brary for Support Vector Machines, 2001. ...
Syntactic Features: Part -of- speech tags of the
three words preceding the medical term and the
three words following it.
312
create one classifier for each type of label using
instances with that...
... pruning for machine learning of
coreference rules. In Proc. of EMNLP, pages 55–62.
V. Ng and C. Cardie. 2002b. Improving machine learn-
ing approaches to coreference resolution. In Proc. of
the ... knowledge mining for coreference resolution. In
Proc. of NAACL, pages 55–62.
R. Iida, K. Inui, H. Takamura, and Y. Matsumoto. 2003.
Incorporating contextual cues in trainable models for
coreference resolution. ... applications. In
Proc. of the ACL.
C. M¨uller, S. Rapp, and M. Strube. 2002. Applying co-
training to reference resolution. In Proc. of the ACL,
pages 352–359.
V. Ng and C. Cardie. 2002a. Combining sample...
... Yang
Department of Electrical Engineering
University of Washin g ton
Seattle, WA, USA
yangmei@ee.washington.edu
Katrin Kirchhoff
Department of Electrical Engineering
University of Washin g ton
Seattle, ... cross-language information re-
trieval. More recently, (Xi and Hwa, 2005) have
used backoff models for combining in- domain and
42
Phrase-Based Backoff Models for Machine Translation of Highly In ected
Languages
Mei ... off” to the more gen-
eral distribution. Backoff models have been used
in a variety of ways in natural language process-
ing, most notably in statistical language modeling.
In language modeling,...
... an-
nealing. We also found sampling the T , G, and N
variables to be particularly inefficient, so instead we
maintain soft counts over each of these variables and
use these in place of a hard sampling ... document train/test split. Train-
ing our system on all 60 documentsof the training
and test set (as this is in an unsupervised system,
the unlabeled test documents are present at train-
ing time), ... effectiveness of this fact
by evaluating on the MUC-6 test documents with in-
creasing amounts of unannotated training data. We
first added the 191 documents from the MUC-6
dryrun training set (which...
... already in-
1023
Query No. User input
1 something inhibit ERK2
2 something trigger diabetes
3 adiponectin increase something
4 TNF activate IL6
5 dystrophin cause disease
6 macrophage induce something
7 ... for
semantic annotations
3.2 On-line processing
The off-line processing described above results in
much simpler on-line processing. User input is
converted into queries of the extended region al-
gebra, ... straightforward way in order
to improve accuracy. Document ranking is useful
for the readability of retrieved results. IE systems
can be applied off-line, in the manner of the deep
parser in our system,...
... gains might be obtained by further investi-
gating the interaction between training instance se-
lection, feature selection, and the coreference clus-
tering algorithm.
4 NP Coreference Using ... Proceedings of the 40th Annual Meeting of the Association for
regarding coreference. Specifically, we increase the
number of lexical features to nine to allow more
complex NP string matching operations. ... their method for creating coreference chains,
which is explained next.
Applying the classifier to create coreference
chains. After training, the decision tree is used by
a clustering algorithm to impose...
... give, in Chapter 13 (“Prevention of Cigarette Smoking”), an
overview of the prevention of cigarette smoking, which is of great importance
for mental health professionals in light of the astonishingly ... controlled trials of preventive interventions by prevention scientists)
to clinical practice (i.e., routine, everyday, individual-level clinical care).
Prevention-minded clinical practice may ... effects outside of the clinical setting.
Mental health professionals can have an influential role in these diverse
prevention activities outside of the clinical practice setting. Providers can
support...