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Found 6 papers, 1 papers with code
Emoji Usage Across Platforms: A Case Study for the Charlottesville Event
We study emoji usage patterns across two social media platforms, one of them considered a fringe community called Gab, and the other Twitter.
Studying The Effect of Emotional and Moral Language on Information Contagion during the Charlottesville Event
We highlight the contribution of emotional and moral language towards information contagion online.
The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics
We introduce GEM, a living benchmark for natural language Generation (NLG), its Evaluation, and Metrics.
Ranked #1 on
Extreme Summarization
on GEM-XSum
Abstractive Text Summarization
Cross-Lingual Abstractive Summarization
+5
TeamUNCC@LT-EDI-EACL2021: Hope Speech Detection using Transfer Learning with Transformers
We describe our approach to fine-tuning RoBERTa for Hope Speech detection in English and our approach to fine-tuning XLM-RoBERTa for Hope Speech detection in Tamil and Malayalam, two low resource Indic languages.
Ranked #1 on
Hope Speech Detection for English
on HopeEDI
Hope Speech Detection for English
Hope Speech Detection for Malayalam
+4
A Case Study of Analysis of Construals in Language on Social Media Surrounding a Crisis Event
The events that took place at the Unite the Right rally held in Charlottesville, Virginia on August 11-12, 2017 caused intense reaction on social media from users across the political spectrum.
On the Need for Thoughtful Data Collection for Multi-Party Dialogue: A Survey of Available Corpora and Collection Methods
We present a comprehensive survey of available corpora for multi-party dialogue.
