18 papers · ranked by Valyu relevance
Gerhard Wohlgenannt, Ariadna Barinova, Dmitry I. Ilvovsky, Ekaterina Chernyak
'Ekaterina Chernyak'] Abstract. Word embeddings are already well studied in the general domain, usually trained on large text corpora, and have been evaluated for example on word similarity and analogy tasks, but also as an input to downstream NLP processes. In contrast, in this work we explore the suitability of word…
Gerhard Wohlgenannt, Artemii Babushkin, Denis Romashov, Igor Ukrainets + 2 more
'Igor Ukrainets' 'Anton Maskaykin' 'Ilya Shutov'] Abstract. In this paper, we present Russian language datasets in the digital humanities domain for the evaluation of word embedding techniques or similar language modeling and feature learning algorithms. The datasets are split into two task types, word intrusion and…
Dominik Stammbach, Vilém Zouhar, Alexander Hoyle, Mrinmaya Sachan + 1 more
'Elliott Ash'] Topic models help make sense of large text collections. Automatically evaluating their output and determining the optimal number of topics are both longstanding challenges, with no effective automated solutions to date. This paper evaluates the effectiveness of large language models (LLMs) for these…
Marcus O. Harrington, Jennifer E. Ashton, Subbulakshmi Sankarasubramanian, Michael C. Anderson + 1 more
Unwanted memories often enter conscious awareness when we confront reminders. People vary widely in their talents at suppressing such memory intrusions; however, the factors that govern suppression ability are poorly understood. We tested the hypothesis that successful memory control requires sleep. Following overnight…
Adel Binbusayyis, Thavavel Vaiyapuri
The revolutionary advances in network technologies have spearheaded the design of advanced cyberattacks to surpass traditional security defense with dreadful consequences. Recently, Intrusion Detection System (IDS) is considered as a pivotal element in network security infrastructures to achieve solid line of…
Yutong Wang, Yujing Wu, Yihu Xu, Kaihang Zhang + 2 more
The Internet of Vehicles plays a crucial role in advancing intelligent transportation systems, with In-Vehicle Ethernet serving as the fundamental backbone network of the new generation of in-vehicle communication. However, In-Vehicle Ethernet faces various network security threats, including data theft, data…
Benjamin Gagl, Fabio Richlan, Philipp Ludersdorfer, Jona Sassenhagen + 3 more
To characterize the left-ventral occipito-temporal cortex (lvOT) role during reading in a quantitatively explicit and testable manner, we propose the lexical categorization model (LCM). The LCM assumes that lvOT optimizes linguistic processing by allowing fast meaning access when words are familiar and filter out…
Yulu Gong, Mengran Zhu, Shuning Huo, Yafei Xiang + 1 more
—In the age of the Internet, people's lives are increasingly dependent on today's network technology. Maintaining network integrity and protecting the legitimate interests of users is at the heart of network construction. Threat detection is an important part of a complete and effective defense system. How to…
Ambroise de Izarra, François-Xavier Coudert, Alain H. Fuchs, Anne Boutin
We performed Monte Carlo simulations in the osmotic ensemble in three representative hypothetical pure-silica zeolites that are silicalite-1, chabazite and faujasite for which adsorption isotherm of water has been calculated from grand canonical Monte Carlo simulations. Monte Carlo moves in the osmotic ensemble to…
Thasayu Soisoonthorn, Herwig Unger, Maleerat Maliyaem
Word segmentation is necessary for many natural language processing, especially Thai language, that is, unsegmented words. However, wrong segmentation causes terrible performance in the final result. In this study, we propose two new brain-inspired methods based on Hawkins' approach to address Thai word segmentation.…
Elham Najafi, Amir H. Darooneh, Francisco J. Esteban
A text can be considered as a one dimensional array of words. The locations of each word type in this array form a fractal pattern with certain fractal dimension. We observe that important words responsible for conveying the meaning of a text have dimensions considerably different from one, while the fractal dimensions…
Amirhossein Chalehchaleh, Martin Winchester, Giovanni M. Di Liberto
Speech comprehension involves detecting words and interpreting their meaning according to the preceding semantic context. This process is thought to be underpinned by a predictive neural system that uses that context to anticipate upcoming words. Recent work demonstrated that such a predictive process can be probed…
Ishaan Shivhare, Joy Purohit, Vinay Jogani, Samina Attari + 1 more
'Madhav Chandane'] Abstract—Network intrusions are a significant problem in all industries today. A critical part of the solution is being able to effectively detect intrusions. With recent advances in artificial intelligence, current research has begun adopting deep learning approaches for intrusion detection. Current…
Authors not listed
Zeolitic imidazolate frameworks (ZIFs), such as ZIF-8, possess high surface area and tunable porosity, making them attractive for many applications. However, their structural flexibility can hinder performance in pressure-dependent processes like gas separation or water intrusion for energy storage. Several strategies…
Swapnoneel Roy, Sriram Sankaran, Mini Zeng, Jose Manuel Molina López + 1 more
'Alessandra Rizzardi'] Intrusion detection systems have proliferated with varying capabilities for data generation and learning towards detecting abnormal behavior. The goal of green intrusion detection systems is to design intrusion detection systems for energy efficiency, taking into account the resource constraints…
Liu Hua Yeo, Xiangdong Che, Shalini Lakkaraju
Intrusion detection systems (IDS) help detect unauthorized activities or intrusions that may compromise the confidentiality, integrity or availability of a resource. This paper presents a general overview of IDSs, the way they are classified, and the different algorithms used to detect anomalous activities. It attempts…
Geoff McConohy, Xin Xu, Teng Cui, Edward Barks + 5 more
Solid-state electrolytes are an attractive option to increase the chemical stability and energy density of rechargeable lithium-metal batteries. However, they are susceptible to lithium-metal short-circuiting during charging, especially under high current densities. In this work, using a force-controlled electrical…
Ambroise de Izarra, François-Xavier Coudert, Alain Fuchs, Anne Boutin
We have investigated through molecular simulation the intrusion of electrolytes in two representative pure-silica zeolites, silicalite-1 and chabazite, in which point defects were introduced in varying amounts. We distinguish between two types of defects, considering either “weak” or “strong” silanol nest defects…