Papers by Antonis Maronikolakis
Wine is not v i n. On the Compatibility of Tokenizations across Languages (2021.findings-emnlp)
Copied to clipboard
| Challenge: | Pretrained language models are used for performance and memory constraints, but there is little work that investigates the compatibility of tokenizations across languages. |
| Approach: | They propose a compatibility measure that reflects compatibility of tokenizations across languages. |
| Outcome: | The proposed measure prevents incompatible tokenizations, e.g., “wine” in English vs. “v i n” in French, which make it hard to learn good multilingual semantic representations. |
Listening to Affected Communities to Define Extreme Speech: Dataset and Experiments (2022.findings-acl)
Copied to clipboard
| Challenge: | XTREMESPEECH dataset contains 20,297 social media passages from Brazil, Germany, India and Kenya . |
| Approach: | They propose a hate speech dataset containing 20,297 social media passages from Brazil, Germany, India and Kenya. |
| Outcome: | The proposed dataset contains 20,297 social media passages from Brazil, Germany, India and Kenya. |
Analyzing Political Parody in Social Media (2020.acl-main)
Copied to clipboard
| Challenge: | Parody is a figurative device used to imitate an entity for comedic or critical purposes. |
| Approach: | They propose a dataset of tweets from real politicians and their corresponding parody accounts to run supervised machine learning models for automatic classification. |
| Outcome: | The proposed models predict political parody tweets with 90% accuracy . they also identify the markers of parody through a linguistic analysis . |