Results 81 to 90 of about 7,167 (213)

Fast intensive crowd counting model of Internet of Things based on multi‐scale attention mechanism

IET Image Processing, Volume 19, Issue 1, January/December 2025.
Abstract Object detection based on deep learning plays an important role in the application of the Internet of Things (IoT). Traditional methods consume a lot of computing resources and cannot be well deployed in the IoT environment. A lightweight object detection method based on attention mechanism is proposed and applied to crowd counting. In view of
Dong Liu, Zhiyong Wang, Xiangjia Meng
wiley   +1 more source

Natural language understanding: instructions for (Present and Future) use [PDF]

, 2018
In this paper I look at Natural Language Understanding, an area of Natural Language Processing aimed at making sense of text, through the lens of a visionary future: what do we expect a machine should be able to understand?
Navigli, R.
core   +1 more source

Topic Words‐Based Multilingual Hateful Linguistic Resources Construction for Developing Multilingual Hateful Content Detection Model Using Deep Learning Technique

IET Information Security, Volume 2025, Issue 1, 2025.
Nowadays, social media platforms provide space that allows communication and sharing of various resources using a variety of natural languages in different cultural and multilingual aspects. Although this interconnectedness offers numerous benefits, it also exposes users to the risk of encountering offensive (OFFN) and harmful content, including ...
Naol Bakala Defersha, Kula Kekeba Tune, Solomon Teferra Abate, Naghmeh Moradpoor   +3 more
wiley   +1 more source

The Effectiveness of Concept Based Search for Video Retrieval [PDF]

, 2007
In this paper we investigate how a small number of high-level concepts\ud derived for video shots, such as Sport. Face.Indoor. etc., can be used effectively for ad hoc search in video material.
Aly, Robin, Hauff, Claudia, Hiemstra, Djoerd   +2 more
core   +2 more sources

A Conversational Assistant for Democratization of Data Visualization: A Comparative Study of Two Approaches of Interaction

Statistical Analysis and Data Mining: The ASA Data Science Journal, Volume 17, Issue 6, December 2024.
ABSTRACT Data visualization is an important aspect of exploratory data analysis which requires expertise, posing a challenge to many users. In this work, we present a conversational system designed to make data visualization accessible, where users can generate visualizations of data by natural language conversational interaction with the system.
Abari Bhattacharya, Barbara Di Eugenio, Veronica Grosso, Andrew Johnson, Roderick Tabalba, Nurit Kirshenbaum, Jason Leigh, Moira Zellner   +7 more
wiley   +1 more source

UESTS: An Unsupervised Ensemble Semantic Textual Similarity Method

IEEE Access, 2019
Semantic textual similarity (STS) is the task of assessing the degree of similarity between two texts in terms of meaning. Several approaches have been proposed in the literature to determine the semantic similarity between texts. The most promising work
Basma Hassan, Samir E. Abdelrahman, Reem Bahgat, Ibrahim Farag   +3 more
doaj   +1 more source

Decoding Multilingual Topic Dynamics and Trend Identification through ARIMA Time Series Analysis on Social Networks: A Novel Data Translation Framework Enhanced by LDA/HDP Models

Journal of Electrical and Computer Engineering, Volume 2024, Issue 1, 2024.
In this study, the authors present a novel methodology adept at decoding multilingual topic dynamics and identifying communication trends during crises. We focus on dialogues within Tunisian social networks during the coronavirus pandemic and other notable themes like sports and politics. We start by aggregating a varied multilingual corpus of comments
Samawel Jaballi, Manar Joundy Hazar, Salah Zrigui, Azer Mahjoubi, Henri Nicolas, Mounir Zrigui, Mahendra Bhadu   +6 more
wiley   +1 more source

Enrichment of OntoSenseNet: Adding a Sense-annotated Telugu lexicon

, 2018
The paper describes the enrichment of OntoSenseNet - a verb-centric lexical resource for Indian Languages. This resource contains a newly developed Telugu-Telugu dictionary. It is important because native speakers can better annotate the senses when both
Parupalli, Sreekavitha, Singh, Navjyoti
core   +1 more source

Text Classification Using Association Rules, Dependency Pruning and Hyperonymization

, 2014
We present new methods for pruning and enhancing item- sets for text classification via association rule mining. Pruning methods are based on dependency syntax and enhancing methods are based on replacing words by their hyperonyms of various orders.
Haralambous, Yannis, Lenca, Philippe
core   +3 more sources

Design and Development of a Framework for an Automatic Answer Evaluation System Based on Similarity Measures

Journal of Intelligent Systems, 2017
The assessment of answers is an important process that requires great effort from evaluators. This assessment process requires high concentration without any fluctuations in mood.
Ramamurthy Madhumitha, Krishnamurthi Ilango   +1 more
doaj   +1 more source