Results 91 to 100 of about 14,087 (197)

Leveraging Linked Open Data to Automatically Answer Arabic Questions

IEEE Access, 2019
The interchangeably connected Web technologies and the advancements that accompany the semantic web content's leaps, have raised many challenges in the results' retrieval process especially for the Arabic Language. This research targets an important, yet
Mohammad Al-Smadi, Islam Al-Dalabih, Yaser Jararweh, Patrick Juola   +3 more
doaj   +1 more source

Exploring perceptions of Italian urban wildlife on TikTok

People and Nature, Volume 8, Issue 5, Page 1470-1484, May 2026.
Abstract In Western cities, some animals are valued for their beauty, rarity or usefulness, while others are dismissed as unwelcome. This distinction reflects the cultural meanings attached to each species and frequently conflicts with ecological priorities.
Gabriele Colombo, Michele Mauri, Alessandra Facchin   +2 more
wiley   +1 more source

Named Entity Extraction and Disambiguation

, 2011
Named entity extraction and disambiguation have received much attention in recent years. Typical fields addressing these topics are information retrieval, natural language processing, and semantic web. Although these topics are highly dependent, almost no existing works examine this dependency.
Habib, Mena Badieh, van Keulen, Maurice
openaire   +1 more source

Why Autonomous Vehicles Are Not Ready Yet: A Multi‐Disciplinary Review of Problems, Attempted Solutions, and Future Directions

Journal of Field Robotics, Volume 43, Issue 3, Page 2254-2341, May 2026.
ABSTRACT Personal autonomous vehicles can sense their surrounding environment, plan their route, and drive with little or no involvement of human drivers. Despite the latest technological advancements and the hopeful announcements made by leading entrepreneurs, to date no personal vehicle is approved for road circulation in a “fully” or “semi ...
Xingshuai Dong, Massimiliano Cappuccio, Fady Alnajjar, Luqman Ali, Hamad Al Jassmi, Essam Debie, Milad Ghasrikhouzani, Alessandro Lanteri, Tate McGregor, Oleksandra Molloy, Alice Plebe, Michael Regan, Eduardo Sandoval, Dongmo Zhang   +13 more
wiley   +1 more source

Recent developments in linguistic annotations of the TüBa-D/Z treebank [PDF]

, 2004
The purpose of this paper is to describe recent developments in the morphological, syntactic, and semantic annotation of the TüBa-D/Z treebank of German.
Hinrichs, Erhard, Kübler, Sandra, Naumann, Karin, Telljohann, Heike, Trushkina, Julia   +4 more
core  

A geo-temporal information extraction service for processing descriptive metadata in digital libraries [PDF]

, 2009
In the context of digital map libraries, resources are usually described according to metadata records that define the relevant subject, location, time-span, format and keywords.
Borbinha, José, Manguinhas, H., Martins, Bruno, Siabato Vaca, Willington Libardo   +3 more
core   +1 more source

An Advanced Natural Language Processing Framework for Arabic Named Entity Recognition: A Novel Approach to Handling Morphological Richness and Nested Entities

Applied Sciences
Named Entity Recognition (NER) is a fundamental task in Natural Language Processing (NLP) that supports applications such as information retrieval, sentiment analysis, and text summarization.
Saleh Albahli
doaj   +1 more source

Research on High-Quality Knowledge Acquisition Methods and Intelligent Office Knowledge Value-Added Strategies for Large-Scale Documents in the Cloud

Journal of Applied Science and Engineering
In response to the growing demand for knowledge-intensive operations and the widespread adoption of cloud-based document management systems, this study proposes a comprehensive framework for high-quality knowledge acquisition and intelligent value ...
Haohong Zhou, Shichao Huang, Guoxin Zhong, Jun Huang   +3 more
doaj   +1 more source

Entity-centric knowledge discovery for idiosyncratic domains [PDF]

, 2017
Technical and scientific knowledge is produced at an ever-accelerating pace, leading to increasing issues when trying to automatically organize or process it, e.g., when searching for relevant prior work.
Cudré-Mauroux, Philippe, Prokofyev, Roman   +1 more
core  

Neural Collective Entity Linking

, 2018
Entity Linking aims to link entity mentions in texts to knowledge bases, and neural models have achieved recent success in this task. However, most existing methods rely on local contexts to resolve entities independently, which may usually fail due to ...
Cao, Yixin, Hou, Lei, Li, Juanzi, Liu, Zhiyuan   +3 more
core