Results 91 to 100 of about 15,951 (231)

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

Multi-prompt Learning Based Aspect-Category Sentiment Analysis [PDF]

Jisuanji kexue yu tansuo
Aspect-category sentiment analysis (ACSA) aims to discern aspect categories in review texts and simultaneously predict their sentiment polarity. It is an important fine-grained subtask in the field of sentiment analysis.
LIU Jinhang, LI Lin, WU Renwei, LIU Jia
doaj   +1 more source

A New Sentiment-Enhanced Word Embedding Method for Sentiment Analysis

Applied Sciences, 2022
Since some sentiment words have similar syntactic and semantic features in the corpus, existing pre-trained word embeddings always perform poorly in sentiment analysis tasks.
Qizhi Li, Xianyong Li, Yajun Du, Yongquan Fan, Xiaoliang Chen   +4 more
doaj   +1 more source

OhioState at SemEval-2018 Task 7: Exploiting Data Augmentation for Relation Classification in Scientific Papers using Piecewise Convolutional Neural Networks

, 2018
We describe our system for SemEval-2018 Shared Task on Semantic Relation Extraction and Classification in Scientific Papers where we focus on the Classification task.
Dhyani, Dushyanta
core   +1 more source

SemEval-2007 Task 01: Evaluating WSD on Cross-Language Information Retrieval [PDF]

Proceedings of the 4th International Workshop on Semantic Evaluations - SemEval '07, 2007
This paper presents a first attempt of an application-driven evaluation exercise of WSD. We used a CLIR testbed from the Cross Lingual Evaluation Forum. The expansion, indexing and retrieval strategies where fixed by the organizers. The participants had to return both the topics and documents tagged with WordNet 1.6 word senses.
Agirre, E., Lopez de Lacalle, O., Magnini, B., Otegi, A., Rigau, G., Vossen, P.T.J.M.   +5 more
openaire   +3 more sources

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

Query-Based Keyphrase Extraction from Long Documents

Proceedings of the International Florida Artificial Intelligence Research Society Conference, 2022
Transformer-based architectures in natural language processing force input size limits that can be problematic when long documents need to be processed. This paper overcomes this issue for keyphrase extraction by chunking the long documents while keeping
Martin Dočekal, Pavel Smrž
doaj   +1 more source

SemEval-2018 Task 10: Capturing Discriminative Attributes [PDF]

Proceedings of The 12th International Workshop on Semantic Evaluation, 2018
This paper describes the SemEval 2018 Task 10 on Capturing Discriminative Attributes. Participants were asked to identify whether an attribute could help discriminate between two concepts. For example, a successful system should determine that ‘urine’ is a discriminating feature in the word pair ‘kidney’, ‘bone’.
Alicia Krebs, Alessandro Lenci, Denis Paperno   +2 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

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