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Found 5 papers, 3 papers with code
Datasets for Portuguese Legal Semantic Textual Similarity: Comparing weak supervision and an annotation process approaches
Also, the comparison between ground truth and heuristic labels shows that heuristic labels are useful.
A Modality-level Explainable Framework for Misinformation Checking in Social Networks
The widespread of false information is a rising concern worldwide with critical social impact, inspiring the emergence of fact-checking organizations to mitigate misinformation dissemination.
Learning Attention-based Representations from Multiple Patterns for Relation Prediction in Knowledge Graphs
In this manuscript, we propose {\AE}MP (Attention-based Embeddings from Multiple Patterns), a novel model for learning contextualized representations by: (i) acquiring entities' context information through an attention-enhanced message-passing scheme, which captures the entities' local semantics while focusing on different aspects of their neighborhood; and (ii) capturing the semantic context, by leveraging the paths and their relationships between entities.
Sentiment analysis in tweets: an assessment study from classical to modern text representation models
Sentiment classification is tackled mainly by machine learning-based classifiers.
See and Read: Detecting Depression Symptoms in Higher Education Students Using Multimodal Social Media Data
However, nowadays, the data shared at social media is a ubiquitous source that can be used to detect the depression symptoms even when the student is not able to afford or search for professional care.
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Feature Engineering
on 2019_test set
(using extra training data)
