Tweetnerd-end to end entity linking benchmark for tweets
Abstract Named Entity Recognition and Disambiguation (NERD) systems are foundational
for information retrieval, question answering, event detection, and other natural language …
for information retrieval, question answering, event detection, and other natural language …
Multi-modal discussion transformer: Integrating text, images and graph transformers to detect hate speech on social media
We present the Multi-Modal Discussion Transformer (mDT), a novel method for detecting
hate speech on online social networks such as Reddit discussions. In contrast to traditional …
hate speech on online social networks such as Reddit discussions. In contrast to traditional …
Information Extraction from Social Media: A Hands-On Tutorial on Tasks, Data, and Open Source Tools
Information extraction (IE) is a common sub-area of natural language processing that
focuses on identifying structured data from unstructured data. One application domain of IE …
focuses on identifying structured data from unstructured data. One application domain of IE …
Penerapan Deep Learning dalam Menganalisis Sentimen di Media Sosial
P Hafidzah, S Maryani, BY Ihsani… - Seminar Nasional …, 2024 - journal.ummat.ac.id
This research aims to investigate the application of deep learning for sentiment analysis in
social media. A systematic literature review was conducted to identify, assess, and interpret …
social media. A systematic literature review was conducted to identify, assess, and interpret …
Candidate Generation for Entity Linking on Military Equipment
M Hu, S Zheng, X Chen - 2023 2nd International Conference …, 2023 - ieeexplore.ieee.org
In the intelligent document analysis and application of military news texts, due to the
polysemous and synonymous of military weapons and equipment entities, the computer …
polysemous and synonymous of military weapons and equipment entities, the computer …