Results 111 to 120 of about 15,278 (236)
A Weighted Diffusion Graph Convolutional Network for Relation Extraction
Journal of Electrical and Computer Engineering, Volume 2024, Issue 1, 2024.Currently, graph convolutional network (GCN) is widely used in relation extraction (RE) tasks. Within RE tasks in the form of directed graphs, the placement of entities in the sentence context generates a large number of remote entity nodes in the directed graph.
Jiusheng Chen +4 more
wiley +1 more source
SemEval-2016 Task 2: Interpretable Semantic Textual Similarity [PDF]
Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016), 2016 Comunicació presentada al 10th International Workshop on Semantic Evaluation (SemEval-2016), celebrat els dies 16 i 17 de juny de 2016 a San Diego, Califòrnia.
Agirre, Eneko +5 more
openaire +3 more sources
Aspect-Level Sentiment Analysis through Aspect-Oriented Features
HighTech and Innovation JournalAspect-level sentiment analysis is essential for businesses to comprehend sentiment polarities associated with various aspects within unstructured texts.
Mikail Bin Muhammad Azman Busst +2 more
doaj +1 more source
NileTMRG at SemEval-2017 Task 4: Arabic Sentiment Analysis [PDF]
Proceedings of the 11th International Workshop on Semantic Evaluation
(SemEval-2017), 2017 Cet article décrit deux systèmes qui ont été utilisés par le NileTMRG pour traiter l'analyse du sentiment arabe dans le cadre de SemEval-2017, tâche 4. NileTMRG a participé à trois sous-tâches liées à l'arabe qui sont : Sous-tâche A (classification de la polarité des messages), Sous-tâche B (classification de la polarité des messages par sujet) et Sous-
Samhaa R. El-Beltagy +2 more
openaire +3 more sources
Relation Classification via Recurrent Neural Network with Attention and Tensor Layers
Big Data Mining and Analytics, 2018 Relation classification is a crucial component in many Natural Language Processing (NLP) systems. In this paper, we propose a novel bidirectional recurrent neural network architecture (using Long Short-Term Memory, LSTM, cells) for relation ...
Runyan Zhang +3 more
doaj +1 more source
A Hybrid Deep Implicit Neural Model for Sentiment Analysis via Transfer Learning
IEEE AccessWe present a neural model for sentiment analysis of social network texts with a special focus on cryptocurrency-related content using deep transfer learning. A challenge of deep learning is its need for abundant data.
Kia Jahanbin, Mohammad Ali Zare Chahooki
doaj +1 more source
Evaluation of Named Entity Recognition Algorithms in Short Texts
CLEI Electronic Journal, 2017 : One of the major consequences of the growth of social networks has been the generation of huge volumes of content. The text that is generated in social networks constitutes a new type of content, that is short, informal, lacking grammar in some cases,
Edgar Casasola Murillo, Raquel Fonseca
doaj +1 more source
Explainable Aspect-Based Sentiment Analysis Using Transformer Models
Big Data and Cognitive ComputingAn aspect-based sentiment analysis (ABSA) aims to perform a fine-grained analysis of text to identify sentiments and opinions associated with specific aspects.
Isidoros Perikos +1 more
doaj +1 more source
Graph-Based Complex Representation in Inter-Sentence Relation Recognition in Polish Texts
Cybernetics and Information Technologies, 2018 This paper presents a supervised approach to the recognition of Cross-document Structure Theory (CST) relations in Polish texts. Its core is a graph-based representation constructed for sentences.
Janz Arkadiusz +2 more
doaj +1 more source