Papers by Elizaveta Kuzmenko
Representing ELMo embeddings as two-dimensional text online (2021.eacl-demos)
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| Challenge: | ELMoViz module adds support for contextualized embedding architectures, in particular for token embeddable word models. |
| Approach: | They propose to add a module to the free and open-source WebVectors toolkit which provides lexical hyperlinks to word representations in static embedding models. |
| Outcome: | The ELMoViz module adds support for contextualized embedding architectures, in particular for ELMa models. |
CONAN - COunter NArratives through Nichesourcing: a Multilingual Dataset of Responses to Fight Online Hate Speech (P19-1)
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| Challenge: | Davidson et al., 2017): social media platforms and governmental organizations have taken steps to tackle hate speech . Davidson and Norton, 2017: a dataset of hate-speech/counter-narrative pairs is created . authors: identifying hate speech is challenging for the broadness and nuances in cultures and languages . |
| Approach: | They propose to build a large-scale, multilingual, expert-based dataset of hate-speech/counter-narrative pairs . they provide additional annotations about expert demographics, hate and response type . |
| Outcome: | The proposed dataset provides an analysis of hate-speech/counter-narrative pairs in three languages. |