Results 61 to 70 of about 8,202,971 (220)
Economic event detection in company-specific news text [PDF]
, 2018 This paper presents a dataset and supervised classification approach for economic event detection in English news articles. Currently, the economic domain is lacking resources and methods for data-driven supervised event detection.
Hoste, Veronique +2 more
core +1 more source
Computer Science & Information Technology (CS & IT), 2012 Emotion can be expressed in many ways that can be seen such as facial expression and gestures, speech and by written text. Emotion Detection in text documents is essentially a content - based classification problem involving concepts from the domains of Natural Language Processing as well as Machine Learning.
Shivhare, Shiv Naresh +1 more
openaire +3 more sources
IEEE Access, 2020 The adoption of electronic health records (EHRs) is an important step in the development of modern medicine. However, complete health records are not often available during treatment because of the functional problem of the EHR system or information ...
Wenyuan Xue, Qingyong Li, Qiyuan Xue
doaj +1 more source
Scene Text Retrieval via Joint Text Detection and Similarity Learning [PDF]
Computer Vision and Pattern Recognition, 2021 Scene text retrieval aims to localize and search all text instances from an image gallery, which are the same or similar with a given query text. Such a task is usually realized by matching a query text to the recognized words, outputted by an end-to-end
Hao Wang +5 more
semanticscholar +1 more source
CommuSpotter: Scene Text Spotting with Multi-Task Communication
Applied Sciences, 2023 Scene text spotting is a challenging multi-task modulation for locating and recognizing texts in complex scenes. Existing end-to-end text spotters generally adopt sequentially decoupled multi-tasks, consisting of text detection and text recognition ...
Liang Zhao, Greg Wilsbacher, Song Wang
doaj +1 more source
Fused Text Segmentation Networks for Multi-oriented Scene Text Detection
, 2018 In this paper, we introduce a novel end-end framework for multi-oriented scene text detection from an instance-aware semantic segmentation perspective.
Chen, Kai +6 more
core +1 more source
A Survey on LLM-Generated Text Detection: Necessity, Methods, and Future Directions
Computational LinguisticsThe remarkable ability of large language models (LLMs) to comprehend, interpret, and generate complex language has rapidly integrated LLM-generated text into various aspects of daily life, where users increasingly accept it.
Junchao Wu +5 more
semanticscholar +1 more source
WordSup: Exploiting Word Annotations for Character based Text Detection
, 2017 Imagery texts are usually organized as a hierarchy of several visual elements, i.e. characters, words, text lines and text blocks. Among these elements, character is the most basic one for various languages such as Western, Chinese, Japanese ...
Ding, Errui +5 more
core +1 more source
Parking space number detection with multi‐branch convolution attention
IET Signal Processing, 2023 With the increase of large shopping malls, there are many large parking spaces in complex environments, which increases the difficulty of finding vehicles in such environments.
Yifan Guo +4 more
doaj +1 more source
Advanced Text Detection of Container Numbers via Dual-Branch Adaptive Multi-Scale Network
Applied SciencesText detection of container numbers is essential in logistics for the efficient tracking and management of containers. However, the wear and damage that container numbers often endure in harsh environments make detection particularly challenging.
Li Yao, Chenchen Tang, Yan Wan
doaj +1 more source