Cultivating creative commons: from creative regulation to regulatory commons

This thesis explores and explains the development of the Creative Commons (CC) as an alternative to mainstream copyright protection. it argues that the distinctive characteristics of CC as a license based, configurable form of meta-regulation can be explained by consideration of the disciplinary background of the movement's founder (Lawrence Lessig) and as a consequence of the particular mode of development it undertook (e-mail discussions as commonly used in the arena of software development rather than traditional legal discussion) as well as the influence of a variety of pre-exisiting regulatory forms. The second part of the research reviews the inputs from multiple existing regulatory structures such as the Free Software Foundation and the Open Content movement, and de-constructs the process by which the CC is developed in practice. The thesis analyzes the trajectory of CC from a licensing project to a political project, the structural elements of the CC licences and the decision making process of their creation and development. This analysis helps to explain the apparent inconsistencies that have been expressed about the CC project and shows how Lessig's perspectives on regulation and meaning construction contribute to the empowerment of the creator and the attempt to provide regulatory tools instead of regulatory solutions. The thesis argues that imbalances in the existing Copyright system are symptoms of deeper structural problems of distantiation of the regulated subject from the process of regulation construction. CC therefore becomes an effort to increase access to the regulatory process and as a result ignites the creation of the Commons. instead of the regulation to be enforcing its normative content on the creative practice over the Internet, the CC approach allows the reverse to happen. The intellectual or creative commons are thus achieved as a secondary result of the ability to access the regulatory commons

A Survey of Paraphrasing and Textual Entailment Methods

Paraphrasing methods recognize, generate, or extract phrases, sentences, or longer natural language expressions that convey almost the same information. Textual entailment methods, on the other hand, recognize, generate, or extract pairs of natural language expressions, such that a human who reads (and trusts) the first element of a pair would most likely infer that the other element is also true. Paraphrasing can be seen as bidirectional textual entailment and methods from the two areas are often similar. Both kinds of methods are useful, at least in principle, in a wide range of natural language processing applications, including question answering, summarization, text generation, and machine translation. We summarize key ideas from the two areas by considering in turn recognition, generation, and extraction methods, also pointing to prominent articles and resources.Comment: Technical Report, Natural Language Processing Group, Department of Informatics, Athens University of Economics and Business, Greece, 201

A Concurrent Language with a Uniform Treatment of Regions and Locks

A challenge for programming language research is to design and implement multi-threaded low-level languages providing static guarantees for memory safety and freedom from data races. Towards this goal, we present a concurrent language employing safe region-based memory management and hierarchical locking of regions. Both regions and locks are treated uniformly, and the language supports ownership transfer, early deallocation of regions and early release of locks in a safe manner

Deep Learning for User Comment Moderation

Experimenting with a new dataset of 1.6M user comments from a Greek news portal and existing datasets of English Wikipedia comments, we show that an RNN outperforms the previous state of the art in moderation. A deep, classification-specific attention mechanism improves further the overall performance of the RNN. We also compare against a CNN and a word-list baseline, considering both fully automatic and semi-automatic moderation

Dynamic Time Warping as a Similarity Measure: Applications in Finance

This paper presents the basic DTW-algorithm and the manner it can be used as a similarity measure for two different series that might differ in length. Through a simulation process it is being showed the relation of DTW-based similarity measure, dubbed ?_DTW, with two other celebrated measures, that of the Pearson’s and Spearman’s correlation coefficients. In particular, it is shown that ?_DTW takes lower (greater) values when other two measures are great (low) in absolute terms. In addition a dataset composed by 8 financial indices was used, and two applications of the aforementioned measure are presented. First, through a rolling basis, the evolution of ?_DTW has been examined along with the Pearson’s correlation and the volatility. Results showed that in periods of high (low) volatility similarities within the examined series increase (decrease). Second, a comparison of the mean similarities across different classes of months is being carried. Results vary, however a statistical significant greater similarity within Aprils is being reported compared to other months, especially for the CAC 40, IBEX 35 and FTSE MIB indices

The Greek Crisis: Causes and Implications

This paper presents and critically discusses the origins and causes of the Greek fiscal crisis and its implications for the euro currency as well as the SEE economies. In the aftermath of the 2007-2009 financial crisis the enormous increase in sovereign debt has emerged as an important negative outcome, since public debt was dramatically increased in an effort by the US and the European governments to reduce the accumulated growth of private debt in the years preceding the recent financial turmoil. Although Greece is the country member of the eurozone that has been in the middle of this ongoing debt crisis, since November 2009 when it was made clear that its budget deficit and mainly its public debt were not sustainable, Greece’s fiscal crisis is not directly linked to the 2007 US subprime mortgage loan market crisis. As a result of this negative downturn the Greek government happily accepted a rescue plan of 110 billion euros designed and financed by the European Union and the IMF. A lengthy austerity programme and a fiscal consolidation plan have been put forward and are to be implemented in the next three years.Sovereign risk, Debt crisis, Bonds market, Expectations, Fiscal guarantees

Biomedical ontology alignment: An approach based on representation learning

While representation learning techniques have shown great promise in application to a number of different NLP tasks, they have had little impact on the problem of ontology matching. Unlike past work that has focused on feature engineering, we present a novel representation learning approach that is tailored to the ontology matching task. Our approach is based on embedding ontological terms in a high-dimensional Euclidean space. This embedding is derived on the basis of a novel phrase retrofitting strategy through which semantic similarity information becomes inscribed onto fields of pre-trained word vectors. The resulting framework also incorporates a novel outlier detection mechanism based on a denoising autoencoder that is shown to improve performance. An ontology matching system derived using the proposed framework achieved an F-score of 94% on an alignment scenario involving the Adult Mouse Anatomical Dictionary and the Foundational Model of Anatomy ontology (FMA) as targets. This compares favorably with the best performing systems on the Ontology Alignment Evaluation Initiative anatomy challenge. We performed additional experiments on aligning FMA to NCI Thesaurus and to SNOMED CT based on a reference alignment extracted from the UMLS Metathesaurus. Our system obtained overall F-scores of 93.2% and 89.2% for these experiments, thus achieving state-of-the-art results

Redesigning the European Court of Human Rights: Embeddedness as a Deep Structural Principle of the European Human Rights Regime

The European Court of Human Rights (ECHR) is the crown jewel of the world’s most advanced international system for protecting civil and political liberties. In recent years, however, the ECHR has become a victim of its own success. The Court now faces a docket crisis of massive proportions, the consequence of the growing number of states subject to its jurisdiction, its favourable public reputation, its expansive interpretations of individual liberties, a distrust of domestic judiciaries in some countries, and entrenched human rights problems in others. In response to this growing backlog of individual complaints, the Council of Europe has, over the last five years, considered numerous proposals to restructure the European human rights regime and redesign the European Convention on Human Rights (ECHR). This article argues that these proposals should be understood not as ministerial changes in supranational judicial procedure, nor as resolving a debate over whether the ECHR should strive for individual or constitutional justice, but rather as raising more fundamental questions concerning the Court’s future identity. In particular, the article argues for recognition of ‘ embeddedness ’ in national legal systems as a deep structural principle of the ECHR, a principle that functions as a necessary counterpoint to the subsidiary doctrine that has animated the Convention since its founding. Embeddedness does not substitute ECHR rulings for the decisions of national parliaments or domestic courts. Rather, it requires the Council of Europe and the Court to bolster the mechanisms for governments to remedy human rights violations at home, obviating the need for individuals to seek supranational relief and restoring countries to a position in which the ECHR’s deference to national decision-makers is appropriate