ppxscal/embedding_network huggingface dataset:
Supervised domain adaption for WSD
Authors: Eneko Agirre, Oier Lopez de Lacalle
Venue: Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics (2009)

The lack of positive results on supervised domain adaptation for WSD have cast some doubts on the utility of hand-tagging general corpora and thus developing generic supervised WSD systems. In this paper we show for the first time that our WSD system trained on a general source corpus (Bnc) and the target corpus, obtains up to 22% error reduction when compared to a system trained on the target corpus alone. In addition, we show that as little as 40% of the target corpus (when supplemented with the source corpus) is sufficient to obtain the same results as training on the full target data. The key for success is the use of unlabeled data with svd, a combination of kernels and svm.
AgileTecting&trade;: A Principled Approach To Introducing Agility In Systems Engineering And Product Development Enterprises
Authors: Azad M. Madni
Venue: Journal of Integrated Design Process Science (2008)

Competitive market forces continue to impose challenging tradeoffs in the development of complex systems and products. On the one hand, there is great pressure to incorporate the latest breakthroughs. On the other hand, system reliability cannot be compromised. Agile systems architecting in concerned with balancing these competing requirements while determining where and how agility should be introduced to achieve a competitive advantage and/or requisite adaptability to changing circumstances. Agility in the development process is needed to rapidly and cost-effectively exploit technology breakthroughs for improving process efficiencies and costs. Agility in the end product is needed to ensure adaptability to a new environment or changing circumstances and to opportunistically upgrade component technologies to reduce lifecycle costs and improve "ilities." This paper introduces agility from several perspectives and presents "AgileTecting&trade;," a principled approach to determining if and where agility is needed and to what degree, and subsequently guiding its introduction in the process and/or product with corresponding recommendations for infrastructure, organization and cultural changes.
Towards an Holistic Understanding of Tasks, Objects and Location in Collaborative Environments
Authors: Maik Wurdel
Venue: Proceedings of the 1st International Conference on Human Centered Design: Held as Part of HCI International 2009 (2009)

In this paper a task modeling approach is presented which tackles the integration of different kinds of models by a generic framework. The application of the framework is shown for collaborative environments, a certain sub set of ubiquitous computing environments. In these environments tasks have a close bond to the location of the executing actor as well the state of the involved objects. Therefore a location specification and a domain model are used to constrain the task execution. The language is supported by a tool, the CTML editor and simulator, which covers all steps of development from creation, editing, testing and verification. Such a model is particularly from interest for the intention recognition module of our experimental infrastructure of a collaborative environment.
Dependency parsing with second-order feature maps and annotated semantic information
Authors: Massimiliano Ciaramita, Giuseppe Attardi
Venue: Proceedings of the 10th International Conference on Parsing Technologies (2007)

This paper investigates new design options for the feature space of a dependency parser. We focus on one of the simplest and most efficient architectures, based on a deterministic shift-reduce algorithm, trained with the perceptron. By adopting second-order feature maps, the primal form of the perceptron produces models with comparable accuracy to more complex architectures, with no need for approximations. Further gains in accuracy are obtained by designing features for parsing extracted from semantic annotations generated by a tagger. We provide experimental evaluations on the Penn Treebank.
Event-triggered distributed optimization in sensor networks
Authors: Pu Wan, Michael D. Lemmon
Venue: Proceedings of the 2009 International Conference on Information Processing in Sensor Networks (2009)

Many problems in sensor networks can be formulated as optimization problems. Existing distributed optimization algorithms typically rely on choosing a step size to ensure convergence. In this case, the communication between sensor nodes occurs each time the computations are carried out. Since in sensor networks, the energy required for communication can be significantly greater than the energy required to perform computation, it would be beneficial if we can somehow separate communication and computation. This paper presents such a distributed algorithm called the event-triggered algorithm. Under event triggering, each agent broadcasts to its neighbors when a local “error” signal exceeds a state dependent threshold. We give a general class of problems in sensor networks where the event-triggered algorithm can be used. In particular, this paper uses the data gathering problem as an example. We propose an event-triggered distributed algorithm and prove its convergence. Simulation results show that the proposed algorithm reduces the number of message exchanges by two orders of magnitude compared to commonly used dual decomposition algorithms. It also enjoys better scalability with respect to the depth of the tree and the maximum branch number of the tree.
A Virtual Button with Tactile Feedback Using Ultrasonic Vibration
Authors: Kaoru Tashiro, Yuta Shiokawa, Tomotake Aono, Takashi Maeno
Venue: Proceedings of the 3rd International Conference on Virtual and Mixed Reality: Held as Part of HCI International 2009 (2009)

A virtual button with tactile feedback is realized by use of ultrasonic vibration with amplitude of a few micrometers. Button-like click feeling is displayed by recreating rapid change in reaction force arising from buckling of a mechanical push button utilizing squeeze film effect. First, click feeling display system was constructed based on the principle of perceiving click feeling when pushing a mechanical button. In the system, stimulation are applied to the operators at both buckling and restitution point. Then, by conducting several sensory evaluation experiments, the optimum parameters of the ultrasonic vibration was determined to display button-like click feeling. Finally, by conducting usability test, it was verified that the usability of the virtual button was equivalent to that of a mechanical button.
An Owner's Will Based Model against Malicious Attack
Authors: Zheng Zhou, Yun Zhang
Venue: Proceedings of the 2009 WASE International Conference on Information Engineering - Volume 02 (2009)

No one will care more of a computer’s security than the owner himself(herself) and the security of the terminal computers is the base of the whole information system’s security, and an owner’s will based model against malicious attack is hence presented to protect computers through comprehensive control of all the subject, object and access. The threshold values in the model not only have the owner’s will be counted in control implementation but also let security policy be more adaptable. The model will make the malicious attack have no or less opportunity to take place, and give the computer the immune ability against malicious attack actually.
Modeling User Affect from Causes and Effects
Authors: Cristina Conati, Heather Maclaren
Venue: Proceedings of the 17th International Conference on User Modeling, Adaptation, and Personalization: formerly UM and AH (2009)

We present a model of user affect to recognize multiple user emotions during interaction with an educational computer game. Our model deals with the high level of uncertainty involved in recognizing a variety of user emotions by probabilistically combining information on both the causes and effects of emotional reactions. In previous work, we presented the performance and limitations of the model when using only causal information. In this paper, we discuss the addition of diagnostic information on user affective valence detected via an EMG sensor, and present an evaluation of the resulting model.
Simultaneous Estimation of Pose and Motion at Highly Dynamic Turn Maneuvers
Authors: Alexander Barth, Jan Siegemund, Uwe Franke, Wolfgang Förstner
Venue: Proceedings of the 31st DAGM Symposium on Pattern Recognition (2009)

The (Extended) Kalman filter has been established as a standard method for object tracking. While a constraining motion model stabilizes the tracking results given noisy measurements, it limits the ability to follow an object in non-modeled maneuvers. In the context of a stereo-vision based vehicle tracking approach, we propose and compare three different strategies to automatically adapt the dynamics of the filter to the dynamics of the object. These strategies include an IMM-based multi-filter setup, an extension of the motion model considering higher order terms, as well as the adaptive parametrization of the filter variances using an independent maximum likelihood estimator. For evaluation, various recorded real world trajectories and simulated maneuvers, including skidding, are used. The experimental results show significant improvements in the simultaneous estimation of pose and motion.
The WEB Collection Revealed Standard Edition: Adobe Dreamweaver CS4, Adobe Flash CS4, and Adobe Fireworks CS4 Revealed, 1st edition
Authors: Sherry Bishop, James E. Shuman, Barbara Waxer
Venue:  (2009)

This comprehensive introductory book provides step-by-step instruction and in-depth explanation on three of todays most widely used Web design and development programs: Adobe Dreamweaver CS4, Adobe Flash CS4, and Adobe Fireworks CS4. Readers gain practical experience with the software as they work through end-of-chapter learning projects and step-by-step tutorials. An integration chapter demonstrates how to move from one application to the other while creating a Dreamweaver Web site that incorporates both Flash and Fireworks files. Full-color illustrations and a user-friendly design combine to create a solid learning experience that reveals how to master the latest features of these popular applications.
The Maturing Semantic Web: Lessons in Web-Scale Knowledge Representation
Authors: Mark Greaves
Venue: Proceedings of the 17th International Conference on Conceptual Structures: Conceptual Structures: Leveraging Semantic Technologies (2009)

This paper is an extended abstract of the talk given at ICCS'09. Rules have long been considered as an essential component of knowledge-based systems. We focus here on conceptual graph rules and on the semantically equivalent knowledge constructs in logic and databases, namely rules with existential variables and tuple-generating dependencies. The aim of this presentation is to synthesize main decidability, complexity and algorithmic results obtained on this kind of rules. We emphasize the fact that the graph vision of rules has led to new results.
Applying Indiscernibility Attribute to Attribute Reduction Based on Discernibility Matrix
Authors: Jin Qian, Ping Lv
Venue: Proceedings of the 2009 International Conference on Environmental Science and Information Application Technology - Volume 02 (2009)

Attribute reduction is one of the key problems in Rough Set theory, and many algorithms based on discernibility matrix have been proposed and studied about it. In order to reduce the computational complexity of discernibility matrix method, a fast counting sort algorithm is first introduced for dealing with redundant and inconsistent data in decision tables. Then, the improved discernibility matrix is presented for deleting a great number of empty elements in the classical algorithms. Finally, the minimal indiscerniblity attribute is applied to generate smaller discernibility matrix and a new attribute reduction algorithm is proposed. Experiments show that our algorithm outperforms other attribute reduction algorithms.
Building Many-Core Processor-to-DRAM Networks with Monolithic CMOS Silicon Photonics
Authors: Christopher Batten, Ajay Joshi, Jason Orcutt, Anatol Khilo, Benjamin Moss, Charles W. Holzwarth, Miloš A. Popovic, Hanqing Li, Henry I. Smith, Judy L. Hoyt, Franz X. Kartner, Rajeev J. Ram, Vladimir Stojanovic, Krste Asanovic
Venue: IEEE Micro (2009)

Silicon photonics is a promising technology for addressing memory bandwidth limitations in future many-core processors. This article first introduces a new monolithic silicon-photonic technology, which uses a standard bulk CMOS process to reduce costs and improve energy efficiency, and then explores the logical and physical implications of leveraging this technology in processor-to-memory networks.
Stable service placement on dynamic peer-to-peer networks: a heuristic for the distributed k-center problem
Authors: Evan A. Sultanik, William C. Regli
Venue: Proceedings of the 20th national conference on Artificial intelligence - Volume 1 (2005)

The proliferation of wireless networks has underscored the need for systems capable of coping with sporadic network connectivity. The restriction of communication to neighboring hosts makes determining the global state especially difficult, if not impractical. This paper addresses the problem of coordinating the positions of an arbitrary number of services, encapsulated by mobile agents, in a dynamic peer-to-peer network. The agents' collective goal is to minimize the distance between hosts and services, even if the topology is changing constantly. We propose a distributed algorithm to efficiently calculate the stationary distribution of the network. This can be used as a hill climbing heuristic for agents to find near-optimal locations at which to provide services. Finally, we show that the agent-based hill climbing approach is temporally-stable relative to the instantaneous optimum.
Evaluation of utility of LSA for word sense discrimination
Authors: Esther Levin, Mehrbod Sharifi, Jerry Ball
Venue: Proceedings of the Human Language Technology Conference of the NAACL, Companion Volume: Short Papers on XX (2006)

The goal of the on-going project described in this paper is evaluation of the utility of Latent Semantic Analysis (LSA) for unsupervised word sense discrimination. The hypothesis is that LSA can be used to compute context vectors for ambiguous words that can be clustered together --- with each cluster corresponding to a different sense of the word. In this paper we report first experimental result on tightness, separation and purity of sense-based clusters as a function of vector space dimensionality and using different distance metrics.
Implementation of Interactive Wandering of Virtual Architecture Community
Authors: Xiangzhong Feng, Ping Wang
Venue: Proceedings of the 2009 International Conference on Environmental Science and Information Application Technology - Volume 03 (2009)

In order to implement interactive wandering in virtual architecture community, in this paper, several methods of the interactive wandering have been used. Firstly, two methods of interactive wandering are expounded, the wandering methods of by user interactive change viewpoint and by computer automatically change viewpoint are used; then two methods of interactive wandering are implemented with VRML and Java; lastly, interaction of 2D graphics and 3D graphics is implemented by External Authoring Interface (EAI).
Human Head 3D Dimensions Measurement for the Design of Helmets
Authors: Fenfei Guo, Lijing Wang, Dayong Dong
Venue: Proceedings of the 2nd International Conference on Digital Human Modeling: Held as Part of HCI International 2009 (2009)

With the helmet systems becoming increasingly complex, head 3D dimensions are needed for the higher precision, but the traditional anthropometry could not meet the design accuracy. In this paper, a non-contact method of head 3D dimensions measurement was presented to improve the design accuracy of helmets. The boundary 3D coordinate data of head slice was extracted from DICOM images based on the MRI technology. The mathematical model of head slice was described through 2D and 3D coordinate systems. Then we adopted the Fourier transform to fit the boundary of slice and obtained a parameter model with a series of Fourier coefficients. The standard headforms was constructed based on the characteristic slices and nine standard headforms were divided by Head Breadth-length Index and Head Height-length Index in order to preserve analogous facial characteristics. The head 3D data measured by this approach had been applied to the design of helmets.
A Compression Error and Optimize Compression Algorithm for Vector Data
Authors: Guolv Tan, Yujun Wang
Venue: Proceedings of the 2009 International Conference on Environmental Science and Information Application Technology - Volume 02 (2009)

Vector data compression plays an important role in the research areas such as terrain environment simulation, cartography generalization, GIS and digital entertainment, etc.... It can increase the storage capacity of mobile devices and improve the transmission efficiency ofvector data on network. In this study, a new compression error is proposed by analyzing the existing compression error of vector data. For single-entity and multi-entity vector data, a compression method based on dynamic programming is given. Especially to multi-entity vector data compression, a method is used which combines compression ratio andcompression error to weighted average distribute the compression nodes. Experimental results show that this compression method can better reflect the behavior of a vector data and has higher compression efficiency.
Proceedings of the Workshop on Multilingual Language Resources and Interoperability
Venue: ACL Workshops (2006)

In an ever-expanding information society, many language processing systems are now facing the "multilingual challenge". Language resources, such as dictionaries, thesauri and wordnets, ontologies etc., as well as annotated corpora play an important role for the development, deployment, maintenance and exploitation of language processing systems. Much work on architectures for multilingual language resources, on recommendations of best practice for creating, representing, maintaining and upscaling such resources has been done in the 1990s, but since then, most efforts in this field have had less visibility. On the other hand, much research and development work has been done on techniques for acquisition of language data, on upper ontologies, on resource standardisation, and, last but not least, on the Semantic Web. One of the aims of this workshop it to provide an up-to-date view on issues relating to multilingual language resources and interoperability, in terms of language description, of technology and of applications. The development and management of multilingual language resources is a long-term activity in which collaboration among researchers is essential. We hope that this workshop will gather many researchers involved in such developments and will give them the opportunity to discuss, exchange, compare their approaches and strengthen their collaborations in the field. The impressive overall quality of the submissions (22) made the selection process quite difficult but we would like to acknowledge the dedication of our program committee who provided many useful comments to all papers. During the reviewing process we took the decision to accept only 9 papers (about 41%) in order to allow for more discussions during the workshop. The papers address a broad range of issues related with language resources for multilingual NLP applications, covering lexicons for general and specialised language, parallel corpora, and the acquisition of data from corpora. In particular, questions of lexical modelling and of standards for lexical resources, as well as approaches to interoperability and resource sharing in a distributed infrastructure are in focus. As multiwords are an important part of any practically usable lexical resource, two papers have been selected which deal with questions of the representation and the corpus-based acquisition of multiword items (here: collocations), from a multilingual perspective. Finally, techniques for detecting parallel texts (here: English/Japanese) and a new view on the Bible as a truly multi-lingual resource for cross-linguistic information retrieval will be discussed as examples of approaches to get access to new sources of data for the creation of language resources. Thus, the workshop covers central aspects of resource-related research; it is structured in a way to go upstream from lexicon standardisation and sharing, over lexical modelling to the identification and the use of corpora as a source of lexical data.
Managing Intelligent Services for People with Disabilities and Elderly People
Authors: Julio Abascal, Borja Bonail, Luis Gardeazabal, Alberto Lafuente, Zigor Salvador
Venue: Proceedings of the 5th International on ConferenceUniversal Access in Human-Computer Interaction. Part II: Intelligent and Ubiquitous Interaction Environments (2009)

Ambient Supported Living systems for people with physical, sensory or cognitive restrictions have to guarantee that the environment is safe, fault tolerant and universally accessible. In addition it is necessary to overcome technological challenges, common to ubiquitous computing, such as the design of a middleware layer that ensures the interoperability of multiple wired and wireless networks and performs discovery actions. On top of that the system has to provide efficient support to the intelligent applications designed to assist people living there. In this paper we present the AmbienNet architecture designed to allow structured context information to be shared among the intelligent applications that support people with disabilities or elderly people living alone.
Finding Good Elements for Focused Retrieval
Authors: Carolyn J. Crouch, Donald B. Crouch, Salil Bapat, Sarika Mehta, Darshan Paranjape
Venue: Advances in Focused Retrieval: 7th International Workshop of the Initiative for the Evaluation of XML Retrieval, INEX 2008, Dagstuhl Castle, Germany, December 15-18, 2008. Revised and Selected Papers (2009)

This paper describes the integration of our methodology for the dynamic retrieval of XML elements [2] with traditional article retrieval to facilitate the Focused and the Relevant-in-Context Tasks of the INEX 2008 Ad Hoc Track. The particular problems that arise for dynamic element retrieval in working with text containing both tagged and untagged elements have been solved [3]. The current challenge involves utilizing its ability to produce a rank-ordered list of elements in the context of focused retrieval. Our system is based on the Vector Space Model [8]; basic functions are performed using the Smart experimental retrieval system [7]. Experimental results are reported for the Focused, Relevant-in-Context, and Best-in-Context Tasks of both the 2007 and 2008 INEX Ad Hoc Tracks. These results indicate that the goal of our 2008 investigations--namely, finding good focused elements in the context of the Wikipedia collection---has been achieved.