Results 51 to 60 of about 3,813 (211)

Multi-Head Self-Attention Gated-Dilated Convolutional Neural Network for Word Sense Disambiguation

IEEE Access, 2023
Word sense disambiguation (WSD) is to determine correct sense of ambiguous word based on its context. WSD is widely used in text classification, machine translation and information retrieval and so on.
Chun-Xiang Zhang, Yu-Long Zhang, Xue-Yao Gao   +2 more
doaj   +1 more source

SemEval-2016 Task 3: Community Question Answering [PDF]

Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016), 2016
This paper describes the SemEval--2016 Task 3 on Community Question Answering, which we offered in English and Arabic. For English, we had three subtasks: Question--Comment Similarity (subtask A), Question--Question Similarity (B), and Question--External Comment Similarity (C).
Nakov, Preslav, Màrquez, Lluís, Moschitti, Alessandro, Magdy, Walid, Mubarak, Hamdy, Freihat, Abed Alhakim, Glass, James, Randeree, Bilal   +7 more
openaire   +3 more sources

Employing synthetic data for addressing the class imbalance in aspect-based sentiment classification

Journal of Information and Telecommunication
The class imbalance problem, in which the distribution of different classes in training data is unequal or skewed, is a prevailing problem. This can lead to classifier algorithms being biased, negatively impacting the performance of the minority class ...
Vaishali Ganganwar, Ratnavel Rajalakshmi
doaj   +1 more source

SemEval-2018 Task 1: Affect in Tweets [PDF]

Proceedings of The 12th International Workshop on Semantic Evaluation, 2018
We present the SemEval-2018 Task 1: Affect in Tweets, which includes an array of subtasks on inferring the affectual state of a person from their tweet. For each task, we created labeled data from English, Arabic, and Spanish tweets. The individual tasks are: 1. emotion intensity regression, 2. emotion intensity ordinal classification, 3.
Mohammad Salameh, Svetlana Kiritchenko, Saif M. Mohammad, Felipe Bravo-Marquez   +3 more
openaire   +2 more sources

Stock Portfolio Management Based on AI Technology

Journal of Forecasting, EarlyView.
ABSTRACT Forecasting stock performance is crucial for formulating a profitable trading approach aimed at achieving significant gains. In addition, prediction results serve as essential prerequisites for creating and optimizing active investment portfolios.
Alejandro Moreno Alonso, Joaquín Ordieres‐Meré   +1 more
wiley   +1 more source

SemEval-2010 task 10 [PDF]

Proceedings of the Workshop on Semantic Evaluations: Recent Achievements and Future Directions - DEW '09, 2009
In this paper, we describe the SemEval-2010 shared task on "Linking Events and Their Participants in Discourse". This task is a variant of the classical semantic role labelling task. The novel aspect is that we focus on linking local semantic argument structures across sentence boundaries.
Ruppenhofer, J., Sporleder, C., Morante, Roser, Baker, C., Palmer, M.   +4 more
openaire   +2 more sources

Aspect-Based Sentiment Analysis of Twitter Influencers to Predict the Trend of Cryptocurrencies Based on Hybrid Deep Transfer Learning Models

IEEE Access, 2023
With the expansion of social networks, sentiment analysis has become one of the hot topics in machine learning. However, in traditional sentiment analysis, the text is considered of a general nature and ignores the different aspects that may exist in the
Kia Jahanbin, Mohammad Ali Zare Chahooki
doaj   +1 more source

Mitigating the Negative Transfer in Multi‐Task Learning for Harmful Language Detection in Spanish and Arabic

Expert Systems, Volume 43, Issue 2, February 2026.
ABSTRACT Negative transfer continues to limit the benefits of multi‐task learning (MTL) in harmful language detection, where related tasks must share representations without diluting task‐specific nuances. We introduce task awareness (TA), a methodological framework that explicitly conditions MTL models on the task they must solve.
Angel Felipe Magnossão de Paula, Imene Bensalem, Damiano Spina, Paolo Rosso   +3 more
wiley   +1 more source

SemEval-2016 Task 5: Aspect Based Sentiment Analysis [PDF]

Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016), 2016
Este documento describe la tarea compartida SemEval 2016 sobre Análisis de Sentimiento Basado en Aspectos (Absa), una continuación de las tareas respectivas de 2014 y 2015. En su tercer año, la tarea proporcionó 19 conjuntos de datos de capacitación y 20 de prueba para 8 idiomas y 7 dominios, así como un procedimiento de evaluación común.
Pontiki, Maria, Galanis, Dimitris, Papageorgiou, Haris, Androutsopoulos, Ion, Manandhar, Suresh, Al-Smadi, Mohammad, Al-Ayyoub, Mahmoud, Zhao, Yanyan, Qin, Bing, De Clercq, Orphée, Hoste, Véronique, Apidianaki, Marianna, Tannier, Xavier, Loukachevitch, Natalia, Kotelnikov, Evgeniy, Bel, Nuria, Bel Rafecas, Núria, Jiménez-Zafra, Salud María, Eryiğit, Gülşen   +18 more
openaire   +5 more sources

HDR‐SA: A Hybrid Deep Learning and RoBERTa‐Based Framework for Sentiment and Aspect Analysis

IET Software, Volume 2026, Issue 1, 2026.
The ability to comprehend complex viewpoints in text is critical for sentiment analysis (SA), particularly at the aspect level, yet existing models struggle with accurately identifying sentiment polarities and aspect‐specific expressions due to their reliance on large, manually annotated, domain‐specific datasets.
Laxmi Pamulaparthy, C. H. Sumalakshmi, Nadeem Sarwar   +2 more
wiley   +1 more source