Results 51 to 60 of about 353 (158)

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

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

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

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

AutoExtend: Extending Word Embeddings to Embeddings for Synsets and Lexemes [PDF]

Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), 2015
We present \textit{AutoExtend}, a system to learn embeddings for synsets and lexemes. It is flexible in that it can take any word embeddings as input and does not need an additional training corpus. The synset/lexeme embeddings obtained live in the same vector space as the word embeddings.
Sascha Rothe, Hinrich Schütze
openaire   +2 more sources

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

Mapping Persian Words to WordNet Synsets

Int. J. Interact. Multim. Artif. Intell., 2009
Lexical ontologies are one of the main resources for developing natural language processing and semantic web applications. Mapping lexical ontologies of different languages is very important for inter-lingual tasks. On the other hand mapping approaches can be implied to build lexical ontologies for a new language based on pre-existing resources of ...
Dehkharghani, Rahim, Shamsfard, Mehrnoush   +1 more
openaire   +3 more sources

On the Semiautomatic Generation of WordNet Type Synsets and Clusters

J. Univers. Comput. Sci., 2002
JUCS - Journal of Universal Computer Science Volume Nr.
openaire   +2 more sources

Dynamic verbs in the Wordnet of Polish

Cognitive Studies | Études cognitives, 2018
Dynamic verbs in the Wordnet of Polish The paper presents patterns of co-occurrences of wordnet relations involving verb lexical units in plWordNet - a large wordnet of Polish.
Agnieszka Dziob, Maciej Piasecki
doaj   +1 more source

Indexing with WordNet synsets can improve Text Retrieval

CoRR, 1998
The classical, vector space model for text retrieval is shown to give better results (up to 29% better in our experiments) if WordNet synsets are chosen as the indexing space, instead of word forms. This result is obtained for a manually disambiguated test collection (of queries and documents) derived from the Semcor semantic concordance.
Julio Gonzalo 0001, Felisa Verdejo, Irina Chugur, Juan M. Cigarrán   +3 more
openaire   +3 more sources