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Found 8 papers, 1 papers with code
Zero-shot Cross-lingual Content Filtering: Offensive Language and Hate Speech Detection
We present a system for zero-shot cross-lingual offensive language and hate speech classification.
EMBEDDIA Tools, Datasets and Challenges: Resources and Hackathon Contributions
This paper presents tools and data sources collected and released by the EMBEDDIA project, supported by the European Union’s Horizon 2020 research and innovation program.
EMBEDDIA hackathon report: Automatic sentiment and viewpoint analysis of Slovenian news corpus on the topic of LGBTIQ+
We conduct automatic sentiment and viewpoint analysis of the newly created Slovenian news corpus containing articles related to the topic of LGBTIQ+ by employing the state-of-the-art news sentiment classifier and a system for semantic change detection.
Sentiment Classification by Incorporating Background Knowledge from Financial Ontologies
Ontologies are increasingly used for machine reasoning over the last few years.
EMBEDDIA project: Cross-Lingual Embeddings for Less- Represented Languages in European News Media
EMBEDDIA project developed a range of resources and methods for less-resourced EU languages, focusing on applications for media industry, including keyword extraction, comment moderation and article generation.
Embeddings models for Buddhist Sanskrit
We release a novel corpus of Buddhist texts, a novel corpus of general Sanskrit and word similarity and word analogy datasets for intrinsic evaluation of Buddhist Sanskrit embeddings models.
Multi-Task Learning for Features Extraction in Financial Annual Reports
For assessing various performance indicators of companies, the focus is shifting from strictly financial (quantitative) publicly disclosed information to qualitative (textual) information.
Online Hate: Behavioural Dynamics and Relationship with Misinformation
Interestingly, users loyal to reliable sources use on average a more toxic language than their counterpart.
