Results 101 to 110 of about 15,528 (226)
Proceedings of the 4th International Workshop on Semantic Evaluations - SemEval '07, 2007 The TempEval task proposes a simple way to evaluate automatic extraction of temporal relations. It avoids the pitfalls of evaluating a graph of inter-related labels by defining three sub tasks that allow pairwise evaluation of temporal relations. The task not only allows straightforward evaluation, it also avoids the complexities of full temporal ...
Robert Gaizauskas +5 more
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Exploring Metaphorical Senses and Word Representations for Identifying Metonyms [PDF]
, 2015 A metonym is a word with a figurative meaning, similar to a metaphor. Because metonyms are closely related to metaphors, we apply features that are used successfully for metaphor recognition to the task of detecting metonyms. On the ACL SemEval 2007 Task
Gelernter, Judith, Zhang, Wei
core
AutoSense Model for Word Sense Induction
, 2018 Word sense induction (WSI), or the task of automatically discovering multiple senses or meanings of a word, has three main challenges: domain adaptability, novel sense detection, and sense granularity flexibility. While current latent variable models are
Amplayo, Reinald Kim +2 more
core +1 more source
Exploring NLP‐Based Solutions to Social Media Moderation Challenges
Human Behavior and Emerging Technologies, Volume 2025, Issue 1, 2025.The rise of social media has revolutionized global communication, enabling users and businesses to connect, advertise, and monitor competitors. However, this expansion has also fueled toxic behaviors like hate speech and harassment, exposing innocent users to harmful content while overwhelming human moderators and impacting their well‐being. To address
Heba Saleous +3 more
wiley +1 more source
Proceedings of the 4th International Workshop on Semantic Evaluations - SemEval '07, 2007 This paper presents the task definition, resources, and the single participant system for Task 12: Turkish Lexical Sample Task (TLST), which was organized in the SemEval-2007 evaluation exercise. The methodology followed for developing the specific linguistic resources necessary for the task has been described in this context.
Emine Çelik +2 more
openaire +2 more sources
IEEE AccessThis research addresses the challenge of multi-label emotion classification on imbalanced datasets using a BERT-based model. Emotion classification, essential for applications like social media analysis and sentiment monitoring, often suffers from class ...
Sandhya Ramakrishnan, L. D. Dhinesh Babu
doaj +1 more source
ShotgunWSD 2.0: An Improved Algorithm for Global Word Sense Disambiguation
IEEE Access, 2019 ShotgunWSD is a recent unsupervised and knowledge-based algorithm for global word sense disambiguation (WSD). The algorithm is inspired by the Shotgun sequencing technique, which is a broadly-used whole genome sequencing approach. ShotgunWSD performs WSD
Andrei M. Butnaru, Radu Tudor Ionescu
doaj +1 more source
Cryptocurrency Trend Prediction Through Hybrid Deep Transfer Learning
International Journal of Intelligent Systems, Volume 2025, Issue 1, 2025.The impact of sentiment analysis of comments on social networks such as X (Twitter) on the cryptocurrency market’s behavior has been proven. Also, traditional sentiment analysis and not considering the possible aspects of tweets can cause the deep model to be misleading in predicting the price trend of cryptocurrencies.
Kia Jahanbin +2 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
International Journal of Intelligent Systems, Volume 2025, Issue 1, 2025.In the last 10 years, there has been a rise in the number of Arabic texts, which necessitates a more profound understanding of algorithms to efficiently understand and classify Arabic texts in many applications, like sentiment analysis. This paper presents a comprehensive review of recent developments in Arabic text classification (ATC) and Arabic text
Abdullah Y. Muaad +7 more
wiley +1 more source