43 research outputs found

    Exploiting news to categorize tweets: Quantifying the impact of different news collections

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    Short texts, due to their nature which makes them full of abbreviations and new coined acronyms, are not easy to classify. Text enrichment is emerging in the literature as a potentially useful tool. This paper is a part of a longer term research that aims at understanding the effectiveness of tweet enrichment by means of news, instead of the whole web as a knowledge source. Since the choice of a news collection may contribute to produce very different outcomes in the enrichment process, we compare the impact of three features of such collections: volume, variety, and freshness. We show that all three features have a significant impact on categorization accuracy. Copyright \ua9 2016 for the individual papers by the paper's authors

    Taking Advantage of Cloud Solutions to Balance Requests in an Astrophysical Data Center

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    A complete astrophysical publishing environment, working as a helper system for an astrophysical data center, requires various components, from custom data back ends up to more or less standardized (e.g. Virtual Observatory driven) front end solutions. Combining this environment into one framework can lead to a potentially non scalable or hardly improvable system. In this contribution we describe what we are planning and developing to take advantage of cloud computing infrastructures and of a modular/distributed component architecture to provide a scalable and maintainable publishing environment at the Italian center for Astronomical Archives (IA2) at the INAF (Italian National Institute for Astrophysics) Astronomical Observatory of Trieste. Using a set of modular services, connected by registered interfaces, we are planning to use automated balancing at the front end to allocate services on demand in a cloud environment and allow generic data access in the back end archive solution

    Towards a Logical Framework with Intersection and Union Types

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    International audienceWe present an ongoing implementation of a dependent-type theory (∆-framework) based on the Edinburgh Logical Framework LF, extended with Proof-functional logical connectives such as intersection , union, and strong (or minimal relevant) implication. Proof-functional connectives take into account the shape of logical proofs, thus allowing to reflect polymorphic features of proofs in formulae. This is in contrast to classical Truth-functional connec-tives where the meaning of a compound formula is only dependent on the truth value of its subformulas. Both Logical Frameworks and proof functional logics consider proofs as first class citizens. But they do it differently namely, explicitly in the former while implicitly in the latter. Their combination opens up new possibilites of formal reasoning on proof-theoretic semantics. We provide some examples in the extended type theory and we outline a type checker. The theory of the system is under investigation. Once validated in vitro, the proof-functional type theory can be successfully plugged in existing truth-functional proof assistants
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