Deep mining the textual gold in relation extraction
T Sharma, F Emmert-Streib - Artificial Intelligence Review, 2025 - Springer
Relation extraction (RE) is a fundamental task in natural language processing (NLP) that
seeks to identify and categorize relationships among entities referenced in the text …
seeks to identify and categorize relationships among entities referenced in the text …
TSPNet: Translation supervised prototype network via residual learning for multimodal social relation extraction
Multimodal social relation extraction requires sufficient features fusion to identify the relation
between different targets. Compared with traditional multimodal social relation extraction …
between different targets. Compared with traditional multimodal social relation extraction …
Topic-guided abstractive multimodal summarization with multimodal output
Summarization is a technique that produces condensed text from large text documents by
using different deep-learning techniques. Over the past few years, abstractive …
using different deep-learning techniques. Over the past few years, abstractive …
Distraction detection to predict vehicle crashes: a deep learning approach
R Bekka, S Kherbouche, HE Bouhissi - Computación y Sistemas, 2022 - scielo.org.mx
The Road safety is a major issue, both in terms of the number of road casualties and the
economic cost of these accidents at the global, regional and national levels. Combating road …
economic cost of these accidents at the global, regional and national levels. Combating road …
SCT: Summary Caption Technique for Retrieving Relevant Images in Alignment with Multimodal Abstractive Summary
This work proposes an efficient Summary Caption Technique that considers the multimodal
summary and image captions as input to retrieve the correspondence images from the …
summary and image captions as input to retrieve the correspondence images from the …