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In memory of my beloved mother Inger, always near to me Contact information Louise Östlund School of Communication and Design University of Kalmar SE-391 82 Kalmar Sweden e-mail: louise.ostlund@hik.se A BSTRACT This thesis is founded on the global growth of the service sector and its significance for society as a whole and for the individual human being. In the last decade, technology has changed the way services are created, developed and delivered in remarkable ways. The focus of the thesis is technology in interplay with humans and organisations and the socio- economic-technical systems in which digital services play a central role. Challenges addressed by the thesis include requirement analysis, trustworthy systems, in- and outsourcing aspects, the proper understanding of information and its use in real world applications. With this in mind, the thesis presents a configurable methodology with the purpose to quality assure service oriented workflows found in socio- economic-technical systems. Important building blocks for this are information types and service supported workflows. Our case study is of a call centre-based business called AKC (Apotekets kundcentrum). AKC constitutes a part of the Cooperation of Swedish Pharmacies (Apoteket AB). One of their main services offered to Swedish citizens is the handling of incoming questions concerning pharmaceutical issues. We analysed the interactive voice response system at AKC as a starting point for our investigations and we suggest a more flexible solution. We regard a socio-economic-technical system as an information ecology, which puts the focus on human activities supported by technology. Within these information ecologies, we have found that a Service Oriented Architecture (SOA) can provide the flexible support needed in an environment with a focal point on services. Input from information ecologies and SOA also enables a structured way of managing in- and outsourcing issues. We have also found that if we apply SOA together with our way of modelling a Service Level Agreement (SLA), we can coordinate high-level requirements and support-system requirements. A central insight in this work is the importance of regarding a socio- economic-technical system as an information ecology in combination with in- and outsourcing issues. This view will prevent a company from being drained of its core competences and core services in an outsourcing situation, which is further discussed in the thesis. By using our combination of SOA and SLA we can also divide service bundles into separate services and apply economic aspects to them. This enables us to analyse which services that are profitable while at the same time meet important requirements in information quality. As a result, we propose a set of guidelines which represent our approach towards developing quality assured systems. We also present two main types of validation for service oriented workflows: validation of requirement engineering and validation of business processes. I P REFACE Life is strange and unpredictable, and the last two years of my life have been evidence of this. In 2005, I felt unrestrained joy and happiness when my husband Martin and I got married. Two weeks after our wedding, I was overwhelmed with sorrow when my beloved mother passed away and a few months later, my aunt also passed away. You see, diseases are inconsiderate – they have no regard for weddings or future plans, theses or Probabilistic Aspects of Probe Vehicle Based Traffic Information Tomio Miwa Nagoya University Contents Introduction of Morikawa-Yamamoto Miwa Lab Traffic Information System in Japan Map-Matching of Probe Vehicle Data Historical Database of Link Travel Times Required Sample Size Traffic information error Correlation of link travel times Introduction of Morikawa-Yamamoto-Miwa Lab Nagoya the fourth largest city in Japa, the capital city of Aichi Prefecture Nagoya University Nagoya - One of the former imperial universities Hokkaido, Tohoku, Tokyo, Nagoya, Kyoto, Osaka, Kyushu Domestic Ranking: 3,888 Professors/Lectures (full-time) 9,790 undergraduate students 6,029 graduate students 2,232 international students (from 105 countries) Introduction of Morikawa-Yamamoto-Miwa Lab professors (full-time) Prof Toshiyuki Yamamoto Assoc Prof Tomio Miwa special-appointed professors Prof Takayuki Morikawa Assoc Prof Tomotaka Usui Assoc Prof Ryo Kanamori Assoc Prof Nakamura Toshiyuki Lecture Hitomi Sato Lecture Mutsumi Tashiro researchers 43 students (Doctor: 14, Master: 22, Bachelor: 7) 24 international researchers/students Introduction of Morikawa-Yamamoto-Miwa Lab Research Topics: Transportation Planning Travel Behavior Analysis/Disaggregate Analysis Discrete choice analysis Mode choise, route choise, policy agreement,… Road accident analysis Transportation Network Analysis/ITS Traffic assignment/simulation Travel time prediction on road network Route search problem Analysis based on GPS/Probe data Autonomous taxi system My research topics Civil Consciousness of Government Policy Recursive bivariate response models of the ex-ante intentions to link perceived acceptability among charge and refund options for alternative road pricing schemes (Transportation Letters) Explaining differences in acceptance determinants towards congestion charging policies in Indon esia and Japan (Journal of Urban Planning and Development) Inclusion latent constructs in utilitarian resource allocation model for jointly analyzing the revenu e spending options of the congestion charging policy (Transportation Research Part A) My research topics Discrete Choice Analysis of Travel Behavior Vehicle ownership, usage and CO2 emissions in Ho Chi Minh City: Estimation of discrete-continuo us model and simulation study (Asian Transport Studies) Modeling Time-of-Day Car Use Behavior: A Bayesian Network Approach (Transportation Research Part D) Analysis on characteristics of passenger car and motorcycle fleets and their driving conditions in developing country: a case study in Ho Chi Minh City, Vietnam (Journal of EASTS) A Study on Use and Location of Community Cycle Stations (Research in Transportation Economics) Analysis of Vehicles’ Daily Fuel Consumption Frontiers with Long-Term Controller Area Network D ata (Transportation research record) The impact of Eco-car promotion policy on vehicle type choice in Japan D) (Transportation Research Part My research topics Driver’s behavior Discrete Choice Models for Gap Acceptance at Urban Expressway Merging Sections with Consideration of S afety, Road Geometry and Traffic Conditions (Journal of Transportation Engineering A) Incorporating observed and unobserved heterogeneity in route choice analysis with sampled ch oice sets (Transportation Research Part C) En-Route Choices in Utility-Based Route Choice Modelling Analysis of Car Usage Time Frontiers Incorporating Both Inter- and Intraindividual Variation with (Networks and Spatial Economics) GPS Data (Transportation research record) Dynamic route choice behavior analysis considering en-route learning and choice search record) (Transportation re My research topics Traffic Information Efficiency of routing and scheduling system for small and medium size enterprises utilizing vehicle location data (Journal of Intelligent Transportation Systems) Prediction of vehicle CO2 emission and its application to eco-routing navigation, (Transportation Research Part C) Application of hyperpath strategy and driving experience to risk-averse navigation (IET Intelligent Transport Sy stems) Allocation planning for probe taxi devices aimed at minimizing losses to travel time information users (Journ al of Intelligent Transportation Systems) Application of Lagrangian relaxation approach to α-reliable path finding in stochastic networks with correlat ed link travel times (Transportation Research Part C) Use of Probe Vehicle Data to Determine Joint Probability Distributions of Vehicle Location and Spe ed on an Arterial Road (Transportation research record) Contents Introduction of Morikawa-Yamamoto Miwa Lab Traffic Information System in Japan Map-Matching of Probe Vehicle Data Historical Database of Link Travel Times Required Sample Size Theory Error of Traffic Information from Probe Data 10 Required Sample Size Objective function Total ...Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, pages 31–39,
Jeju, Republic of Korea, 8-14 July 2012.
c
2012 Association for Computational Linguistics
Probabilistic Integration of Partial Lexical Information for Noise Robust
Haptic Voice Recognition
Khe Chai Sim
Department of Computer Science
National University of Singapore
13 Computing Drive, Singapore 117417
simkc@comp.nus.edu.sg
Abstract
This paper presents a probabilistic framework
that combines multiple knowledge sources for
Haptic Voice Recognition (HVR), a multi-
modal input method designed to provide ef-
ficient text entry on modern mobile devices.
HVR extends the conventional voice input by
allowing users to provide complementary par-
tial lexical information via touch input to im-
prove the efficiency and accuracy of voice
recognition. This paper investigates the use of
the initial letter of the words in the utterance
as the partial lexical information. In addition
to the acoustic and language models used in
automatic speech recognition systems, HVR
uses the haptic and partial lexical models as
additional knowledge sources to reduce the
recognition search space and suppress confu-
sions. Experimental results show that both the
word error rate and runtime factor can be re-
duced by a factor of two using HVR.
1 Introduction
Nowadays, modern portable devices, such as the
smartphones and tablets, are equipped with micro-
phone and touchscreen display. With these devices
becoming increasingly popular, there is an urgent
need for an efficient and reliable text entry method
on these small devices. Currently, text entry us-
ing an onscreen virtual keyboard is the most widely
adopted input method on these modern mobile de-
vices. Unfortunately, typing with a small virtual
keyboard can sometimes be cumbersome and frus-
tratingly slow for many people. Instead of using
a virtual keyboard, it is also possible to use hand-
writing gestures to input text. Handwriting input
offers a more convenient input method for writing
systems with complex orthography, including many
Asian languages such as Chinese, Japanese and Ko-
rean. However, handwriting input is not necessarily
more efficient compared to keyboard input for En-
glish. Moreover, handwriting recognition is suscep-
tible to recognition errors, too.
Voice input offers a hands-free solution for text
entry. This is an attractive alternative for text entry
because it completely eliminates the need for typ-
ing. Voice input is also more natural and faster for
human to convey messages. Normally, the average
human speaking rate is approximately 100 words
per minute (WPM). Clarkson et al. (2005) showed
that the typing speed for regular users reaches only
86.79 – 98.31 using a full-size keyboard and 58.61
– 61.44 WPM using a mini-QWERTY keyboard.
Evidently, speech input is the preferred text entry
method, provided that speech signals can be reli-
ably and efficiently converted into texts. Unfortu-
nately, voice input relies on automatic speech recog-
nition (ASR) (Rabiner, 1989) technology, which re-
quires high computational resources and is suscep-
tible to performance degradation due to acoustic in-
terference, such as the presence of noise.
In order to improve the reliability and efficiency
of ASR, Haptic Voice Recognition (HVR) was pro-
posed by Sim (2010) as a novel multimodal input
method combining both speech and touch inputs.
Touch inputs are used to generate haptic events,
which correspond to the initial letters of the words in
the spoken utterance. In addition to the regular beam
31
pruning used in traditional ASR (Ortmanns et al.,
1997), search paths which are inconsistent with the
haptic Towards a Semantic Classification of Spanish Verbs Based on
Subcategorisation Information
Eva Esteve Ferrer
Department of Informatics
University of Sussex
Brighton, BN1 9QH, UK
E.Esteve-Ferrer@sussex.ac.uk
Abstract
We present experiments aiming at an automatic
classification of Spanish verbs into lexical semantic
classes. We apply well-known techniques that have
been developed for the English language to Span-
ish, proving that empirical methods can be re-used
through languages without substantial changes in
the methodology. Our results on subcategorisation
acquisition compare favourably to the state of the art
for English. For the verb classification task, we use
a hierarchical clustering algorithm, and we compare
the output clusters to a manually constructed classi-
fication.
1 Introduction
Lexical semantic classes group together words that
have a similar meaning. Knowledge about verbs
is especially important, since verbs are the primary
means of structuring and conveying meaning in sen-
tences. Manually built semantic classifications of
English verbs have been used for different applica-
tions such as machine translation (Dorr, 1997), verb
subcategorisation acquisition (Korhonen, 2002a) or
parsing (Schneider, 2003). (Levin, 1993) has estab-
lished a large-scale classification of English verbs
based on the hypothesis that the meaning of a verb
and its syntactic behaviour are related, and there-
fore semantic information can be induced from the
syntactic behaviour of the verb. A classification
of Spanish verbs based on the same hypothesis has
been developed by (V´azquez et al., 2000). But man-
ually constructing large-scale verb classifications is
a labour-intensive task. For this reason, various
methods for automatically classifying verbs using
machine learning techniques have been attempted
((Merlo and Stevenson, 2001), (Stevenson and Joa-
nis, 2003), (Schulte im Walde, 2003)).
In this article we present experiments aiming at
automatically classifying Spanish verbs into lexi-
cal semantic classes based on their subcategorisa-
tion frames. We adopt the idea that a description of
verbs in terms of their syntactic behaviour is useful
for acquiring their semantic properties. The classi-
fication task at hand is achieved through a process
that requires different steps: we first extract from a
partially parsed corpus the probabilities of the sub-
categorisation frames for each verb. Then, the ac-
quired probabilities are used as features describing
the verbs and given as input to an unsupervised clas-
sification algorithm that clusters together the verbs
according to the similarity of their descriptions. For
the task of acquiring verb subcategorisation frames,
we adapt to the specificities of the Spanish language
well-known techniques that have been developed
for English, and our results compare favourably to
the sate of the art results obtained for English (Ko-
rhonen, 2002b). For the verb classification task, we
use a hierarchical clustering algorithm, and we com-
pare the output clusters to a manually constructed
classification developed by (V´azquez et al., 2000).
2 Acquisition of Spanish
Subcategorisation Frames
Subcategorisation frames encode the information
of how many arguments are required by Test of English as a Foreign Language
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(Test ... (full-time) Prof Toshiyuki Yamamoto Assoc Prof Tomio Miwa special-appointed professors Prof Takayuki Morikawa Assoc Prof Tomotaka Usui Assoc Prof Ryo Kanamori Assoc Prof Nakamura... Lab Traffic Information System in Japan Map-Matching of Probe Vehicle Data Historical Database of Link Travel Times Required Sample Size Theory Error of Traffic Information from Probe. .. link Probe vehicle cruising link in month 21 Traffic Information System in Japan: Probe vehicle system Disadvantages This system cannot gather the traffic information unless a probe vehicle