99 research outputs found
Yet Another Format of Universal Dependencies for Korean
In this study, we propose a morpheme-based scheme for Korean dependency
parsing and adopt the proposed scheme to Universal Dependencies. We present the
linguistic rationale that illustrates the motivation and the necessity of
adopting the morpheme-based format, and develop scripts that convert between
the original format used by Universal Dependencies and the proposed
morpheme-based format automatically. The effectiveness of the proposed format
for Korean dependency parsing is then testified by both statistical and neural
models, including UDPipe and Stanza, with our carefully constructed
morpheme-based word embedding for Korean. morphUD outperforms parsing results
for all Korean UD treebanks, and we also present detailed error analyses.Comment: COLING2022, Poste
An Efficient Method for In Vitro Shoot-Tip Culture and Sporophyte Production Using Selaginella martensii Spring Sporophyte
Selaginella martensii, an evergreen perennial fern that is native to South America and New Zealand, is named “frosty fern” because of its beautiful white-colored leaves and it is used as an ornamental plant. Efficient propagation methods for this species have not been developed. We aimed to develop an efficient propagation method for S. martensii through in vitro culture. We investigated culture conditions that are suitable for shoot-tip proliferation and growth. The optimum shoot-tip culture conditions were determined while using Murashige and Skoog (MS) medium (quarter, half, full, or double strength) and macronutrients (sucrose and two nitrogen sources) at various concentrations. In MS medium, the shoot tips formed a maximum of 6.77 nodes per explant, and each node formed two new shoot tips (i.e., 26 or 64 shoot tips). When using branching segments containing an angle meristem, the shoot-to-rhizophore formation ratio could be controlled by medium supplementation with plant-growth regulators. Sporophytes that were grown from shoot tips in vitro were acclimated in ex vitro soil conditions and successfully survived in the greenhouse. Numerous shoot tips could be obtained from in vitro-grown sporophytes and be proliferated ex vitro to produce a large number of plants. This method provides a way of shortening the time that is required for producing a large stock of S. martensii planting material
Cross-layer Quality Assessment of Wireless Video Transmission over Mobile Broadcast Networks
The recent development of high-speed data transmission over wireless cellular networks has enabled the delivery of multimedia broadcasting services to mobile users. These services involve a range of interactions among different system components, including the wireless channel, the network, and mobile devices, making it crucial for the service provider to verify the model, design, and behavior of a new service before it is deployed. However, previous studies have largely relied on network simulations or scaled experiments, and there has been little work on the sort of unified framework for qualityof- service (QoS) assessment, which considers the interactions between components, that we propose in this paper. Accurate models of the wireless channel, the network, and the data processing that takes place on a client device, are integrated within our framework, and allow us to predict several key system metrics and the quality of the video stream as it is perceived by users. Furthermore, different models of system components can be easily plugged in to extend this framework. As an example application, we analyze the performance of the process of decoding scalable videos on mobile devices in CDMA2000 wireless cellular networks
Tetrazine ligation for chemical proteomics
Abstract Determining small molecule—target protein interaction is essential for the chemical proteomics. One of the most important keys to explore biological system in chemical proteomics field is finding first-class molecular tools. Chemical probes can provide great spatiotemporal control to elucidate biological functions of proteins as well as for interrogating biological pathways. The invention of bioorthogonal chemistry has revolutionized the field of chemical biology by providing superior chemical tools and has been widely used for investigating the dynamics and function of biomolecules in live condition. Among 20 different bioorthogonal reactions, tetrazine ligation has been spotlighted as the most advanced bioorthogonal chemistry because of their extremely faster kinetics and higher specificity than others. Therefore, tetrazine ligation has a tremendous potential to enhance the proteomic research. This review highlights the current status of tetrazine ligation reaction as a molecular tool for the chemical proteomics
Design of an optical packet switch for real-time applications
Network switches are typically designed for best- effort Internet traffic. Most of existing studies have been focused on improving throughput and delay performance in an average sense rather than providing guaranteed delay bound that is critical for real-time applications. It has not been fully investigated how to design an efficient packet switching algorithm for real-time applications. In this paper, we propose a design framework for a real-time optical switch that is intended for use as an optical switch fabric. Our contributions are two folds: First, by introducing a clearance-time optimal switching together with clock-based scheduling, our switching design guarantees any feasible real-time traffic to be switched in two- clock periods. Second, we investigate key implementation issues of an optical packet switch such as packet size and buffering for real-time applications, and take account of these issues in design and performance evaluation of a switching algorithm. Our numerical study shows that the proposed switching algorithm provides a larger schedulability region with significantly reduced delay compared to the well-known iSLIP scheme. © 2012 IEEE
Korean Named Entity Recognition Based on Language-Specific Features
In the paper, we propose a novel way of improving named entity recognition in
the Korean language using its language-specific features. While the field of
named entity recognition has been studied extensively in recent years, the
mechanism of efficiently recognizing named entities in Korean has hardly been
explored. This is because the Korean language has distinct linguistic
properties that prevent models from achieving their best performances.
Therefore, an annotation scheme for {Korean corpora} by adopting the CoNLL-U
format, which decomposes Korean words into morphemes and reduces the ambiguity
of named entities in the original segmentation that may contain functional
morphemes such as postpositions and particles, is proposed herein. We
investigate how the named entity tags are best represented in this
morpheme-based scheme and implement an algorithm to convert word-based {and
syllable-based Korean corpora} with named entities into the proposed
morpheme-based format. Analyses of the results of {statistical and neural}
models reveal that the proposed morpheme-based format is feasible, and the
{varied} performances of the models under the influence of various additional
language-specific features are demonstrated. Extrinsic conditions were also
considered to observe the variance of the performances of the proposed models,
given different types of data, including the original segmentation and
different types of tagging formats.Comment: 44 page
- …