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- ArticleNovember 2024
Enhancing Complex Causality Extraction via Improved Subtask Interaction and Knowledge Fusion
Natural Language Processing and Chinese ComputingPages 67–80https://doi.org/10.1007/978-981-97-9440-9_6AbstractEvent Causality Extraction (ECE) aims at extracting causal event pairs from texts. Despite ChatGPT’s recent success, fine-tuning small models remains the best approach for the ECE task. However, existing fine-tuning based ECE methods cannot ...
- research-articleNovember 2024
Event Causality Identification via Competitive-Cooperative Cognition Networks
AbstractIdentifying the causal relations between events is an important task in natural language processing (NLP). However, existing methods mainly leverage human empirical information about causality from limited labeled corpus or pseudo-data, which ...
Highlights- A novel cognitively-inspired method for the event causality identification task.
- Application of dual process theory in natural language processing.
- Parallel competition between the intuitive and the logical reasoning processes.
- research-articleAugust 2024
Uncertainty-guided label correction with wavelet-transformed discriminative representation enhancement
AbstractLabel noises, categorized into closed-set noise and open-set noise, are prevalent in real-world scenarios and can seriously hinder the generalization ability of models. Identifying noise is challenging because noisy samples closely resemble true ...
- research-articleMay 2024
Reasoning subevent relation over heterogeneous event graph
Knowledge and Information Systems (KAIS), Volume 66, Issue 9Pages 5311–5333https://doi.org/10.1007/s10115-024-02124-4AbstractSubevent relation identification (SRI) is a challenging natural language processing task of great value for knowledge acquisition and reasoning. Given an event pair, previous work mainly defines SRI as a classification task and usually relies on ...
- research-articleJanuary 2024
Give us the Facts: Enhancing Large Language Models With Knowledge Graphs for Fact-Aware Language Modeling
IEEE Transactions on Knowledge and Data Engineering (IEEECS_TKDE), Volume 36, Issue 7Pages 3091–3110https://doi.org/10.1109/TKDE.2024.3360454Recently, ChatGPT, a representative large language model (LLM), has gained considerable attention. Due to their powerful emergent abilities, recent LLMs are considered as a possible alternative to structured knowledge bases like knowledge graphs (KGs). ...
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- research-articleOctober 2024
Study of Electromagnetic Radiation From High-Speed Train Voice and Data Antennae on the Health of Pacemaker Wearers
International Journal of RF and Microwave Computer-Aided Engineering (RFMCE), Volume 2024https://doi.org/10.1155/2024/2690885In China, high-speed trains have become a major means of transportation for the masses. When the passengers wearing pacemakers travel on high-speed trains, electromagnetic environment in the carriage where the GSM-R voice and data antennae are located ...
- research-articleOctober 2024
Multifunctional Frequency-Selective Rasorber With Passband Stealth Performance
International Journal of RF and Microwave Computer-Aided Engineering (RFMCE), Volume 2024https://doi.org/10.1155/2024/3699905A multifunctional frequency-selective rasorber (MFSR) with passband stealth performance by using PIN diodes is investigated, which is made up of two reconfigurable components (a lossy layer and transmissive polarization converter surface (lossless layer))...
- research-articleSeptember 2024
An Ultrathin Multiband Chiral Metasurface for Transmission and Asymmetric Absorption of Electromagnetic Waves
International Journal of RF and Microwave Computer-Aided Engineering (RFMCE), Volume 2024https://doi.org/10.1155/2024/2326362This article presents an ultrathin chiral metasurface which can exhibit multiband asymmetric absorption as well as symmetric transmission in a specific frequency band outside the absorption regions. Unlike most electromagnetic metasurface absorbers, the ...
- research-articleAugust 2024
Knowledge-Based Methodology of CPW-Fed Open Stub Loaded C-Shaped Microstrip Antenna by Surrogate-Based Modeling
International Journal of RF and Microwave Computer-Aided Engineering (RFMCE), Volume 2024https://doi.org/10.1155/2024/6247693Antenna systems with more complicated geometries have been created as a result of evolving technology and rising performance standards in the industry. The geometric complexity of modern antennas makes it difficult for circuit theory tools or parametric ...
- research-articleJune 2023
DiscrimLoss: A Universal Loss for Hard Samples and Incorrect Samples Discrimination
IEEE Transactions on Multimedia (TOM), Volume 26Pages 1957–1968https://doi.org/10.1109/TMM.2023.3290477Given data with label noise (i.e., incorrect data), deep neural networks would gradually memorize the label noise and impair model performance. To relieve this issue, curriculum learning is proposed to improve model performance and generalization by ...
- research-articleFebruary 2023
Self-supervised logic induction for explainable fuzzy temporal commonsense reasoning
AAAI'23/IAAI'23/EAAI'23: Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence and Thirty-Fifth Conference on Innovative Applications of Artificial Intelligence and Thirteenth Symposium on Educational Advances in Artificial IntelligenceArticle No.: 1412, Pages 12580–12588https://doi.org/10.1609/aaai.v37i11.26481Understanding temporal commonsense concepts, such as times of occurrence and durations, is crucial for event-centric language understanding. Reasoning about such temporal concepts in a complex context requires reasoning over both the stated context and ...
- research-articleJanuary 2023
Backfire Patch Antenna with Enhanced Gain and Low Side-Lobe Level under Triple-Mode Resonance
International Journal of RF and Microwave Computer-Aided Engineering (RFMCE), Volume 2023https://doi.org/10.1155/2023/9639026A novel design approach to wideband, triple-mode resonant microstrip patch antenna with enhanced backfire gain and low side-lobe level, is advanced. The antenna consists of a 2.0-wavelength sectorial magnetic dipole and an annular sector reflector which ...
- research-articleJanuary 2023
A Miniaturized Low-Loss Switchable Single- and Dual-Band Bandpass Filter
International Journal of RF and Microwave Computer-Aided Engineering (RFMCE), Volume 2023https://doi.org/10.1155/2023/9025980In this paper, a novel switchable bandpass filter is proposed. By switching p-i-n diodes on/off, the proposed filter can be switched between the single-band bandpass filter and the dual-band bandpass filter. The filter is mainly composed of eight pairs of ...
- research-articleJanuary 2023
Angular Stability Enhancement Using Phase Compensation Method for Frequency Selective Surface Design
International Journal of RF and Microwave Computer-Aided Engineering (RFMCE), Volume 2023https://doi.org/10.1155/2023/8880759This study introduces a novel phase compensation-based, asymmetric frequency selective surface (FSS). Aimed at enhancing angular stability, the phase compensation method utilizes the reflected phase gradient changes generated by two FSSs at large grazing ...
- research-articleJanuary 2023
A Wide-Angle Scanning Planar Array Based on Four-Mode Pattern-Reconfigurable Elements
International Journal of RF and Microwave Computer-Aided Engineering (RFMCE), Volume 2023https://doi.org/10.1155/2023/7871837This paper presents a design of a wide-angle scanning planar array based on a reconfigurable antenna with four radiation patterns for 5G applications. The pattern-reconfigurable antennas (PRAs), capable of switching into four radiation patterns with the ...
- research-articleJanuary 2023
Design and Characterization of a Compact Four-Element Microstrip Array Antenna for WiFi-5/6 Routers
- Xiao Ding,
- Liton Chandra Paul,
- Sarker Saleh Ahmed Ankan,
- Tithi Rani,
- Md. Tanvir Rahman Jim,
- Muharrem Karaaslan,
- Sk. A. Shezan,
- Lulu Wang
International Journal of RF and Microwave Computer-Aided Engineering (RFMCE), Volume 2023https://doi.org/10.1155/2023/6640730The WiFi-5 band was the most popular WiFi band until the Federal Communications Commission (FCC) announced a new spectrum of 6 GHz WiFi (5.925–7.125 GHz) for unlicensed users. Our proposed work is about to cover both the 5 GHz and 6 GHz WiFi bands. These ...
- research-articleJanuary 2023
Axial Ratio Improvement of Circularly Polarized Antenna Using Parasitic Elements for 5G Applications
International Journal of RF and Microwave Computer-Aided Engineering (RFMCE), Volume 2023https://doi.org/10.1155/2023/6619073A circular polarization (CP) antenna that can switch between right-handed circular polarization (RHCP) and left-handed circular polarization (LHCP) modes has been designed and introduced for 5G applications in the 3.5 GHz frequency band in this work. The ...
- research-articleJanuary 2023
Design and Development of Parasitic Elements Loaded Quadband Frequency and Pattern Reconfigurable Antenna
International Journal of RF and Microwave Computer-Aided Engineering (RFMCE), Volume 2023https://doi.org/10.1155/2023/4034241Modern communication demands a low-profile, versatile antenna. In this paper, a low-profile antenna of size 38×40×0.787 mm3 is proposed to reconfigure frequency and radiation pattern. The Rogers RT Duroid 5870 of dielectric constant 2.33 is used as a substrate. ...
- research-articleJanuary 2023
Dual-Band Metamaterial-Based EBG Antenna for Wearable Wireless Devices
International Journal of RF and Microwave Computer-Aided Engineering (RFMCE), Volume 2023https://doi.org/10.1155/2023/2232674In this paper, a wearable dual-band T-shaped antenna using a coplanar waveguide (CPW) fed operating at 2.4 GHz and 5.2 GHz bands is proposed for onbody wireless communications applications. Without the metamaterial-based electromagnetic bandgap (EBG) ...
- research-articleOctober 2022
Enhancing pretrained language models with structured commonsense knowledge for textual inference
AbstractTransformer-based pretrained language models have shown promising performances in various textual inference tasks. However, additional relational knowledge between the semantic units within the input text may also play a critical role ...
Highlights- Our approach effectively utilize sparse knowledge bases to enhance language models.