Papers by Arian Hosseini
Understanding by Understanding Not: Modeling Negation in Language Models (2021.naacl-main)
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| Challenge: | Negation is a core construction in natural language, but state-of-the-art pre-trained language models often handle it incorrectly. |
| Approach: | They propose to augment language modeling objective with unlikelihood objective based on negated generic sentences from a raw text corpus. |
| Outcome: | The proposed approach reduces the top 1 error rate to 4% on negated LAMA dataset and improves on negating NLI benchmarks. |