... probabilities, are encouraging.
VARIABLE MEMORYMARKOV
MODELS
Markov models are a natural candidate for lan-
guage modeling and temporal pattern recognition,
mostly due to their mathematical simplicity. ... context, based on
Variable MemoryMarkov (VMM) models. In con-
trast to fixed-length Markov models, which predict
based on fixed-length histories, variablememory
Markov models dynamically adapt ... sections, any finite memoryMarkovmodel
cannot capture the recursive nature of natural lan-
guage. The VMM can accommodate longer sta-
tistical dependencies than a traditional full-order
Markov model, ...
... the ACL Student Research Workshop, pages 19–24,
Ann Arbor, Michigan.
Zoubin Gha hramani and Michael I. Jordan. 1997. Facto-
rial hidden markov models. Machine Learning, 29:1–
31.
A. Haghighi and ... Ohio
schuler@ling.osu.edu
Abstract
This paper presents a supervised pronoun
anaphora resolution system based on factorial
hidden Markov models (FHMMs). The ba-
sic idea is that the hidden states of FHMMs
are a n explicit ... Empirical
Methods in Natural Language Processing, pages 640–
649. A ssocia tion for Comp utational Lin guistics.
US NIST. 2003. The ACE 2003 Evaluation Plan. US Na-
tional Institute for Standards and...
... is part of the Lancaster Treebank corpus
and contains 1473 sentences. Each sentence con-
tains hand-labeled syntactic roles for natural lan-
guage text.
A. 200
A. 400
A. 600
A. 800
A. 1000
A. 1200
A. 1400
0.86
0.88
0.90
0.92
0.94
B.200
B.400
B.600
B.800
B.1000
B.1200
B.1400
0.86
0.88
0.90
0.92
0.94
0.86
0.88
0.90
0.92
0.94
F
C.200
C.400
C.600
C.800
C.1000
C.1200
C.1400
0.86
0.88
0.90
0.92
0.94
0.86
0.88
0.90
0.92
0.94
F
Figure ... modified hidden
Markov model
Lin-Yi Chou
University of Waikato
Hamilton
New Zealand
lc55@cs.waikato.ac.nz
Abstract
This paper explores techniques to take ad-
vantage of the fundamental difference ... Models. IEEE Acoustics Speech
and Signal Processing ASSP Magazine, ASSP-3(1):
4–16, January.
M. Skounakis, M. Craven and S. Ray. 2003. Hi-
erarchical Hidden Markov Models for Information
Extraction....
... in archaea the top and bottom is rep-
resented by Haloarcula marismortui (146 proteins) and
Nanoarchaeum equitans (five proteins). The genomes of
Oryza sativa and Xenopus tropicalis have many ... within
the same range as for other eukaryotes. There are four
eukaryotic parasites (Plasmodium falciparum, Plasmo-
dium yoelii, Leishmania major and Entamoeba histolyti-
ca) for which the ratio of ... 15%,
respectively. The bacterial genome of Chlamydophila
caviae also show a dual sites proportion of 15%, while
the archeal genomes of Thermococcus kodakaraensis
and Nanoarchaeum equitans show 17 and 20%, respect-
ively....
... Hidden MarkovModel s
in a biomedical Named Entity Recognition t ask
Natalia Ponomareva, Paolo Rosso, Ferran Pla, Antonio Molina
Universidad Politecnica de Valencia
c/ Camino Vera s/n
Valencia, Spain
{nponomareva, ... correct classifica-
tion b ecause they carry less information and appear
less times than the full forms.
This paper aims to inves tigate and compare a per-
formance of two popula r Natural Language ... number of advantages such as a simplicity, a
quick learning and also a global maximization of the
joint probability over the whole observation and label
sequences. The last statement means that the...
... steady flow
refrigeration cycle model consisting of a constant thermal-capacity heating branch, two constant thermal-
capacity cooling branches and two adiabatic branches with the consideration ... endoreversible refrigeration cycle model consisting of a
constant thermal-capacity heating branch, two constant thermal-capacity cooling branches and two
adiabatic branches is viewed as a production ... 1 and 2 is a
heating branch with constant thermal capacity (mass flow rate and specific heat product)
in
C
; the
processes between 3 and 4, and 4 and 5 are two cooling branches with constant...
... words,
dS
1
S
1
has instantaneous variance
2
1
,
dS
2
S
2
has instantaneous variance
2
2
,
dS
1
S
1
and
dS
2
S
2
have instantaneous covariance
1
2
.
Accumulation factor:
t = exp
Z
t
0
rdu
:
The ... dB
1
=
1
1
S
1
1
+
1
2
S
2
2
d
e
B
1
:
Notice that
e
B
2
does not appear.
Let
V
be an
F T
-measurable random variable. If
V
depends on
B
2
, then it can probably not
be hedged. For example, if
V = hS
1
T ;S
2
T;
and
1
or
2
depend ...
2
2
d
e
B
2
:
Let
V
be
F T
-measurable. Define the
f
IP
-martingale
Y t=
f
IE
V
T
Ft
; 0tT:
CHAPTER 19. A two-dimensional market model
207
More precisely, we define the
f
IP
-martingale
Y t=
f
IE
V
T
Ft
;...
... Second, a continuous-time model provides a convenient characterization of the
optimal contract through an ordinary differential equation. With this characterization we can say a great
deal about ... at any time. Because the agent can always underreport and steal at rate
γ
R until termination, any
incentive compatible strategy yields the agent at least R. In contrast, this constraint may ... must hold cash in the bank with a balance equal to
−D as a condition of the credit line. Both the required capital K and the compensating balance −D are
funded through a large initial draw on the...
... companies. What senior managers needed was a plan
expressed in terms of three broad, critical success factors: qualitative factors, or-
ganizational factors, and quantitative factors. To take advantage ... company as a whole
ORGANIZATIONAL FACTORS
Coordination of organizational behavior in project management is a delicate bal-
ancing act, something like sitting on a bar stool. Bar stools usually come ... 13
Environmental
Opportunities
and Threats
Organizational
Strengths and
Weaknesses
Gathering
of
Information
Firm’s
Social
Responsibility
Managerial
Values of
Management
Evaluation
of
Information
Strategy
Evaluation
Strategy
Selection
Strategy
Implementation
External
Analysis
Internal
Analysis
FIGURE...
... various
language-pairs, one issue is that matching syn-
tactic analysis can not always guarantee a good
translation, and violating syntactic structure does
not always induce a bad translation. Marton and
Resnik ... equation (3) or equation
(4), which estimates a probability that a source
span is to be translated as a unit within partic-
ular syntactic contexts. If a source span can be
translated as a unit, ... 315–323,
Suntec, Singapore, 2-7 August 2009.
c
2009 ACL and AFNLP
A Syntax-Driven Bracketing Model for Phrase-Based Translation
Deyi Xiong, Min Zhang, Aiti Aw and Haizhou Li
Human Language Technology
Institute...
... Communication Re-
search Centre, University of Edinburgh.
John Hale, Izhak Shafran, Lisa Yung, Bonnie Dorr, Mary
Harper, Anna Krasnyanskaya, Matthew Lease, Yang
Liu, Brian Roark, Matthew Snover, and ... modified for use in a special
repair grammar, which not only reduces the amount
of available training data, but violates our intuition
that most reparanda are fluent up until the actual edit
occurs.
The ... syntax trees using this
model achieve high accuracy on the standard
Switchboard parsing task.
1 Introduction
Speech repairs occur when a speaker makes a mis-
take and decides to partially retrace...
... and Linda C. Bauman Peto. 1995. A
hierarchical Dirichlet language model. Natural Lan-
guage Engineering, 1(3):1–19.
Y.W. Teh. 2006. A hierarchical Bayesian language
model based on Pitman-Yor processes. ... n-grams:
C(ab) − C(ab∗).
A( ab) = max(1, K(C(ab) − C(ab∗)))
A different K constant is chosen for each n-gram
order. Using this formulation as an interpolated 5-
gram language model gives a cross ... priors a reasonable form for a smoothed distribu-
tion can be expressed as
α(c|ab) =
C(abc)
C(ab∗) + A
(8)
γ(ab) =
A
C(ab∗) + A
The parameter A can be interpreted as the extra
counts added to the...