Results 91 to 100 of about 16,304 (224)

Modern Approaches to Aspect-Based Sentiment Analysis

Труды Института системного программирования РАН, 2018
The paper presents a survey of methods solving the actual task of aspect-based sentiment analysis. Solutions for this task were proposed at multiple natural language processing conferences.
I. . Andrianov, V. . Mayorov, D. . Turdakov   +2 more
doaj   +1 more source

SemEval-2023 Task 6: LegalEval - Understanding Legal Texts

Proceedings of the The 17th International Workshop on Semantic Evaluation (SemEval-2023), 2023
In populous countries, pending legal cases have been growing exponentially. There is a need for developing NLP-based techniques for processing and automatically understanding legal documents. To promote research in the area of Legal NLP we organized the shared task LegalEval - Understanding Legal Texts at SemEval 2023.
Modi, Ashutosh, Kalamkar, Prathamesh, Karn, Saurabh, Tiwari, Aman, Joshi, Abhinav, Tanikella, Sai Kiran, Guha, Shouvik Kumar, Malhan, Sachin, Raghavan, Vivek   +8 more
openaire   +2 more sources

Exploring Causal Learning Through Graph Neural Networks: An In‐Depth Review

WIREs Data Mining and Knowledge Discovery, Volume 15, Issue 2, June 2025.
Graphical abstract of the survey with a taxonomical approach to causal learning with graph neural networks. ABSTRACT In machine learning, exploring data correlations to predict outcomes is a fundamental task. Recognizing causal relationships embedded within data is pivotal for a comprehensive understanding of system dynamics, the significance of which ...
Simi Job, Xiaohui Tao, Taotao Cai, Haoran Xie, Lin Li, Qing Li, Jianming Yong   +6 more
wiley   +1 more source

What Matters in Irony Detection: An Extended Feature Engineering for Irony Detection in English Tweets.

Proceedings of the International Florida Artificial Intelligence Research Society Conference
In recent years, large-scale language models (LLMs) have nearly become the dominant force in almost every natural language processing (NLP) task. The primary research approach has focused on selecting the most appropriate language model for specific NLP ...
Linrui Zhang, Qixiang Pang, Belinda Copus   +2 more
doaj   +1 more source

Arabic Short‐Text Dataset for Sentiment Analysis of Tourism and Leisure Events

Expert Systems, Volume 42, Issue 5, May 2025.
ABSTRACT The focus of this study is to present the detailed process of collecting a dataset of Arabic short‐text in the tourism context and annotating this dataset for the task of sentiment analysis using an automatic zero‐shot labelling technique utilising transformer‐based models.
Seham Basabain, Ahmed Al‐Dubai, Erik Cambria, Khalid Alomar, Amir Hussain   +4 more
wiley   +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

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  

SemEval-2015 Task 10: Sentiment Analysis in Twitter [PDF]

Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015), 2015
Sentiment analysis, sentiment towards a topic, quantification, microblog sentiment analysis; Twitter opinion ...
Rosenthal, Sara, Nakov, Preslav, Kiritchenko, Svetlana, Mohammad, Saif, Ritter, Alan, Stoyanov, Veselin   +5 more
openaire   +3 more sources

Leveraging Unsupervised Task Adaptation and Semi‐Supervised Learning With Semantic‐Enriched Representations for Online Sexism Detection

Expert Systems, Volume 42, Issue 2, February 2025.
ABSTRACT Over the past decade, the proliferation of hateful and sexist content targeting women on social media has become a concerning issue, adversely affecting women's lives and freedom of expression. Previous efforts to detect online sexism have utilized monolingual ensemble transformers combined with data augmentation techniques that incorporate ...
Francisco Rodríguez‐Sánchez, Jorge Carrillo‐de‐Albornoz, Laura Plaza   +2 more
wiley   +1 more source

Improving Multi-Label Emotion Classification on Imbalanced Social Media Data With BERT and Clipped Asymmetric Loss

IEEE Access
This 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