Results 151 to 160 of about 2,031,469 (352)

Evaluation of Croatian Word Embeddings

, 2017
Croatian is poorly resourced and highly inflected language from Slavic language family. Nowadays, research is focusing mostly on English. We created a new word analogy corpus based on the original English Word2vec word analogy corpus and added some of the specific linguistic aspects from Croatian language.
Svoboda, Lukáš, Beliga, Slobodan
openaire   +4 more sources

Micro‐ and Nano‐Bots for Infection Control

Advanced Materials, EarlyView.
This review presents a strategic vision for integrating micro‐ and nanobots in the pipeline for infection diagnosis, prevention, and treatment. To develop these robots as a practical solution for infection management, their design principles are clarified based on their propulsion mechanisms and then categorized infection management domains based on ...
Azin Rashidy Ahmady, Shadman Khan, Hong Han, Wei Gao, Zeinab Hosseinidoust, Tohid F. Didar   +5 more
wiley   +1 more source

FRAGE: Frequency-Agnostic Word Representation [PDF]

arXiv, 2018
Continuous word representation (aka word embedding) is a basic building block in many neural network-based models used in natural language processing tasks. Although it is widely accepted that words with similar semantics should be close to each other in the embedding space, we find that word embeddings learned in several tasks are biased towards word ...
arxiv  

Word embeddings for the software engineering domain

Proceedings of the 15th International Conference on Mining Software Repositories, 2018
The software development process produces vast amounts of textual data expressed in natural language. Outcomes from the natural language processing community have been adapted in software engineering research for leveraging this rich textual information; these include methods and readily available tools, often furnished with pre-trained models.
Efstathiou, Vasiliki, Chatzilenas, Christos, Spinellis, Diomidis   +2 more
openaire   +2 more sources

Materials Advances in Devices for Heart Disease Interventions

Advanced Materials, EarlyView.
This review examines the crucial role of materials in heart disease interventions, focusing on strategies for monitoring, managing, and repairing heart conditions. It discusses the material requirements for medical devices, highlighting recent innovations and their impact on cardiovascular health.
Gagan K. Jalandhra, Lauryn Srethbhakdi, James Davies, Chi Cong Nguyen, Phuoc Thien Phan, Zachary Och, Aditya Ashok, Khoon S. Lim, Hoang‐Phuong Phan, Thanh Nho Do, Nigel H. Lovell, Jelena Rnjak‐Kovacina   +11 more
wiley   +1 more source

Simultaneous Isotropic Omnidirectional Hypersensitive Strain Sensing and Deep Learning‐Assisted Direction Recognition in a Biomimetic Stretchable Device

Advanced Materials, EarlyView.
Omnidirectional strain sensing is crucial in healthcare monitoring, human motion detection, and human‐machine interfaces. By mimicking the 3D structure of human fingers, this work introduces a novel heterogeneous substrate incorporating the involute of a circle which enables the device to achieve isotropic omnidirectional hypersensitive strain sensing ...
Muzi Xu, Jiaqi Zhang, Chaoqun Dong, Chenyu Tang, Fangxin Hu, George G. Malliaras, Luigi G. Occhipinti   +6 more
wiley   +1 more source

Deconstructing Word Embeddings

, 2019
A review of Word Embedding Models through a deconstructive approach reveals their several shortcomings and inconsistencies. These include instability of the vector representations, a distorted analogical reasoning, geometric incompatibility with linguistic features, and the inconsistencies in the corpus data.
openaire   +2 more sources

Training Temporal Word Embeddings with a Compass

Proceedings of the AAAI Conference on Artificial Intelligence, 2019
Temporal word embeddings have been proposed to support the analysis of word meaning shifts during time and to study the evolution of languages. Different approaches have been proposed to generate vector representations of words that embed their meaning during a specific time interval.
Di Carlo, V, Bianchi, F, Palmonari, M
openaire   +4 more sources

Transforming Healthcare: Intelligent Wearable Sensors Empowered by Smart Materials and Artificial Intelligence

Advanced Materials, EarlyView.
Wearable sensors, empowered by AI and smart materials, revolutionize healthcare by enabling intelligent disease diagnosis, personalized therapy, and seamless health monitoring without disrupting daily life. This review explores cutting‐edge advancements in smart materials and AI‐driven technologies that empower wearable sensors for diagnostics and ...
Shuwen Chen, Shicheng Fan, Zheng Qiao, Zixiong Wu, Baobao Lin, Zhijie Li, Michael A. Riegler, Matthew Yu Heng Wong, Arve Opheim, Olga Korostynska, Kaare Magne Nielsen, Thomas Glott, Anne Catrine T. Martinsen, Vibeke H. Telle‐Hansen, Chwee Teck Lim   +14 more
wiley   +1 more source

An accurate transformer-based model for transition-based dependency parsing of free word order languages

Journal of King Saud University: Computer and Information Sciences
Transformer models are the state-of-the-art in Natural Language Processing (NLP) and the core of the Large Language Models (LLMs). We propose a transformer-based model for transition-based dependency parsing of free word order languages.
Fatima Tuz Zuhra, Khalid Saleem, Surayya Naz   +2 more
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