1,504 research outputs found

    A Self-Supervised Automatic Post-Editing Data Generation Tool

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    Data building for automatic post-editing (APE) requires extensive and expert-level human effort, as it contains an elaborate process that involves identifying errors in sentences and providing suitable revisions. Hence, we develop a self-supervised data generation tool, deployable as a web application, that minimizes human supervision and constructs personalized APE data from a parallel corpus for several language pairs with English as the target language. Data-centric APE research can be conducted using this tool, involving many language pairs that have not been studied thus far owing to the lack of suitable data.Comment: Accepted for DataPerf workshop at ICML 202

    QUAK: A Synthetic Quality Estimation Dataset for Korean-English Neural Machine Translation

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    With the recent advance in neural machine translation demonstrating its importance, research on quality estimation (QE) has been steadily progressing. QE aims to automatically predict the quality of machine translation (MT) output without reference sentences. Despite its high utility in the real world, there remain several limitations concerning manual QE data creation: inevitably incurred non-trivial costs due to the need for translation experts, and issues with data scaling and language expansion. To tackle these limitations, we present QUAK, a Korean-English synthetic QE dataset generated in a fully automatic manner. This consists of three sub-QUAK datasets QUAK-M, QUAK-P, and QUAK-H, produced through three strategies that are relatively free from language constraints. Since each strategy requires no human effort, which facilitates scalability, we scale our data up to 1.58M for QUAK-P, H and 6.58M for QUAK-M. As an experiment, we quantitatively analyze word-level QE results in various ways while performing statistical analysis. Moreover, we show that datasets scaled in an efficient way also contribute to performance improvements by observing meaningful performance gains in QUAK-M, P when adding data up to 1.58M

    Rhus verniciflua Stokes against Advanced Cancer: A Perspective from the Korean Integrative Cancer Center

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    Active anticancer molecules have been searched from natural products; many drugs were developed from either natural products or their derivatives following the conventional pharmaceutical paradigm of drug discovery. However, the advances in the knowledge of cancer biology have led to personalized medicine using molecular-targeted agents which create new paradigm. Clinical benefit is dependent on individual biomarker and overall survival is prolonged through cytostatic rather than cytotoxic effects to cancer cell. Therefore, a different approach is needed from the single lead compound screening model based on cytotoxicity. In our experience, the Rhus verniciflua stoke (RVS) extract traditionally used for cancer treatment is beneficial to some advanced cancer patients though it is herbal extract not single compound, and low cytotoxic in vitro. The standardized RVS extract's action mechanisms as well as clinical outcomes are reviewed here. We hope that these preliminary results would stimulate different investigation in natural products from conventional chemicals

    Particle Kinematics in Horava-Lifshitz Gravity

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    We study the deformed kinematics of point particles in the Horava theory of gravity. This is achieved by considering particles as the optical limit of fields with a generalized Klein-Gordon action. We derive the deformed geodesic equation and study in detail the cases of flat and spherically symmetric (Schwarzschild-like) spacetimes. As the theory is not invariant under local Lorenz transformations, deviations from standard kinematics become evident even for flat manifolds, supporting superluminal as well as massive luminal particles. These deviations from standard behavior could be used for experimental tests of this modified theory of gravity.Comment: Added references, corrected a typing erro

    Evaluation of Salmonella Gallinarum ghost formulated with Montanideā„¢ ISA 70 VG adjuvant as a vaccine against fowl typhoid

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    Escherichia coli heat-labile enterotoxin B subunit (LTB) protein is a potent adjuvant. Salmonella Gallinarum ghosts carrying LTB (S. Gallinarum-LTB ghosts) were genetically constructed using a plasmid, pJHL187-LTB, designed for the co-expression of the LTB and E lysis proteins. This study evaluates the immunopotentiating effects of Montanideā„¢ ISA 70 VG on S. Gallinarum-LTB ghost vaccination against fowl typhoid. Five-week-old layer chickens were injected intramuscularly with sterile PBS (non-immunised control, Group A), S. Gallinarum-LTB ghost (Group B) or S. Gallinarum-LTB ghost emulsified with Montanideā„¢ ISA 70 VG adjuvant (Group C). Chickens from both Groups B and C showed significant induction of antigen-specific systemic IgG response compared to controls; in addition, Group C showed enhanced induction of systemic IgG response compared to Group B. We observed significant induction of antigen-specific lymphocyte proliferative response and increased mRNA levels of Th1 cytokines (IFN-Ī³ and IL2) in both Groups B and C. Furthermore, in the challenge experiment with a virulent strain of S. Gallinarum, Group C showed higher survival rates compared with other groups. These results indicate that vaccination with the S. Gallinarum-LTB ghost in combination with Montanideā„¢ ISA 70 VG may enhance the protective immunity against fowl typhoid

    Notes on Matter in Horava-Lifshitz Gravity

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    We investigate the dynamics of a scalar field governed by the Lifshitz-type action which should appear naturally in Horava-Lifshitz gravity. The wave of the scalar field may propagate with any speed without an upper bound. To preserve the causality, the action cannot have a generic form. Due to the superluminal propagation, a formation of a singularity may cause the breakdown of the predictability of the theory. To check whether such a catastrophe could occur in Horava-Lifshitz gravity, we investigate the dynamics of a dust. It turns out that the dust does not collapse completely to form a singularity in a generic situation, but expands again after it attains a maximum energy density.Comment: 14 pages, references adde
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