Naver Corporation

About: Naver Corporation is a company organization based out in Seongnam-si, South Korea. It is known for research contribution in the topics: Terminal (electronics) & Computer science. The organization has 4038 authors who have published 4294 publications receiving 35045 citations. The organization is also known as: NAVER Corporation & NAVER.

The reversal of drug-resistance in tumors using a drug-carrying nanoparticular system.

Abstract: Medical applications of nanoparticular systems have attracted considerable attention because of their potential use in therapeutic targeting of disease tissues and their lower level of toxicity against healthy tissue, relative to traditional pharmaceutical drugs. The use of nanoparticular systems has been shown to overcome the limitations of most anticancer drugs in clinical applications. In particular, the improved performance of smarted nanoparticular system for solving the drug resistance problems that typically interrupt tumor treatment has provided a promising strategy for successful tumor chemotherapy. This review highlights recent studies that have examined the therapeutic effect of nanoparticular systems on drug-resistant tumors and presents insight on how they work.

Method for providing location information of game character by operating with messenger server and system thereof

Abstract: The present invention relates to a method and an online game system for providing position information of a game character in an online game, and more particularly, to a method and an online game system for providing position information of a game character in an online game by interworking with a predetermined messenger server

System and method of providing autocomplete recommended word which interoperate with plurality of languages

Abstract: A system and method of providing an autocomplete recommended word, which classify a recommended word list according to indexes of various languages, store the recommended word list for each index, extract a corresponding autocomplete recommended word according to a user query and a setting mode which is received from a user's web browser, provide the user with the corresponding autocomplete recommended word, and thereby may propose a suitable recommended word according to the user query.

Capacitorless DRAM Cell with Highly Scalable Surrounding Gate Structure

Abstract: To overcome the scalability issues and process complexity of 1-transistor/1-capacitor DRAM cell, capacitorless 1-transistor (1T) DRAM cells have been recently proposed and investigated [1]. The mainstream 1T DRAM cell is a floating body transistor cell (FBC) which consists of a MOSFET with its body floating electrically. The FBC is implemented by a MOSFET formed on partially depleted silicon-on-insulator (PD-SOI).[2,3] Because the floating body is used as a storage node, the FBC does not require complicated processes for storage capacitor. Therefore, the FBC has a simple process and can be made below 4F

DialogWAE: Multimodal Response Generation with Conditional Wasserstein Auto-Encoder.

Abstract: Variational autoencoders~(VAEs) have shown a promise in data-driven conversation modeling. However, most VAE conversation models match the approximate posterior distribution over the latent variables to a simple prior such as standard normal distribution, thereby restricting the generated responses to a relatively simple (e.g., unimodal) scope. In this paper, we propose DialogWAE, a conditional Wasserstein autoencoder~(WAE) specially designed for dialogue modeling. Unlike VAEs that impose a simple distribution over the latent variables, DialogWAE models the distribution of data by training a GAN within the latent variable space. Specifically, our model samples from the prior and posterior distributions over the latent variables by transforming context-dependent random noise using neural networks and minimizes the Wasserstein distance between the two distributions. We further develop a Gaussian mixture prior network to enrich the latent space. Experiments on two popular datasets show that DialogWAE outperforms the state-of-the-art approaches in generating more coherent, informative and diverse responses.