... Brill and Moore
(2000) proposed employing a generative model for
candidate generation anda hierarchy of trie struc-
tures forfast candidate retrieval. Our approach is
a discriminative approach and ... of the Association for Computational Linguistics, pages 52–61,
Portland, Oregon, June 19-24, 2011.
c
2011 Association for Computational Linguistics
A FastandAccurateMethodfor Approximate String ... Human Language Tech-
nology and Empirical Methods in Natural Language
Processing, HLT ’05, pages 955–962, Morristown, NJ,
USA. Association for Computational Linguistics.
Alfred V. Aho and Margaret...
... learning
approach that we use is that it is simpler and more
general than that of Ando and Zhang (2005) and
Suzuki and Isozaki (2008). Their methods dictate
a particular choice of model and training ... the final NER F1 results. We compare
to the state-of-the-art methods of Ando and Zhang
(2005), Suzuki and Isozaki (2008), and for
NER—Lin and Wu (2009). Tables 2 and 3 show
that accuracy can be ... certain word
representations are preferable for certain tasks.
Lin and Wu (2009) finds that the representations
that are good for NER are poor for search query
classification, and vice-versa. We apply...
... have built-in Java support via something known as the Java Virtual
Machine (JVM), and there are several standard <object> and non-standard <applet> tags that are used to
add Java ... The advantage are that the download time is faster than Java, and also you don't have
to worry about integrating different languages into the page, as Curl is capable of providing the same ... CGI receives and transmits data means that the data is not easily
manipulated by many programming languages, so you need one with good facilities for manipulating text and
communicating with...
... contains air, the trachea is more radio-translucent than the neigh-
bouring structures and is seen in posteroanterior and lateral radiographs as
a dark area passing downwards, backwards and slightly ... the Fallopian tubes, uterus and vagina, 148
The posterior abdominal wall, 149
◊◊The suprarenal glands, 151
◊◊Abdominal aorta, 151
◊◊Inferior vena cava, 153
◊◊Lumbar sympathetic chain, 153
Part ... vein
Pretracheal fascia
(containing thyroid,
trachea, oesophagus
and recurrent nerve)
Anterior jugular
vein
C6
Investing fascia
Pre-vertebral fascia
Fig. 16◊The cervical part
of the trachea and its
environs...
... pseudo-
disambiguation task.
Additionally, because LDA-SP is based on a for-
mal probabilistic model, it has the advantage that
it can naturally be applied in many scenarios. For
example, we can obtain ... M. Wallach, Jason Naradowsky,
David A. Smith, and Andrew McCallum. 2009.
Polylingual topic models. In EMNLP.
David Newman, Arthur Asuncion, Padhraic Smyth,
and Max Welling. 2009. Distributed algorithms ... uses
LinkLDA, substantially outperforms both Inde-
pendentLDA and JointLDA.
Next, in figure 4, we compare LDA-SP with
mutual information and Jaccard similarities us-
ing both the generalization and primary...
... ERG contain thou-
sands of types. We use binary constraints be-
tween every pair of types, fora total of millions
of constraints and these are variables and con-
straints over a domain of sets, ... set programming
constraints always take a particular form: if x is a
UL anda successor of y, then the constraints on
its set S
x
are exactly that |S
x
| = λ + 1, S
x
⊆ S
y
,
and S
x
has intersection ... filter language models: Tera-scale LMs on
the cheap. In Proceedings of the 2007 Joint Con-
ference on Empirical Methods in Natural Language
Processing and Computational Natural Language
Learning...
... common approach is to build image
pyramids by repeated blurring and downsampling (Lucas
and Kanade 1981; Glazer et al. 1983;Burtetal.1983;
Enkelman 1986; Anandan 1989; Black and Anandan 1996;
Battiti ... equations are linear in du and dv
and solved using a sparse linear solver. The estimates of u
and v are then updated appropriately and the next iteration
applied.
One disadvantage of variational algorithms ... the data and prior terms through the introduction
of two sets of flow parameters, say (u
data
,v
data
) for the data
term and (u
prior
,v
prior
) for the prior:
E
Global
= E
Data
(u
data
,v
data
)...