Papers by Lydia Nishimwe
Making Sentence Embeddings Robust to User-Generated Content (2024.lrec-main)
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| Challenge: | NLP models struggle on user-generated content (UGC) due to high lexical variance and deviating from the standard texts. |
| Approach: | They propose a sentence embedding model that embeds non-standard sentences and their standard counterparts close to each other in the embeddable space. |
| Outcome: | The proposed model outperforms LASER on key typos and social media abbreviations while outperforming LASER in other tasks. |