Papers by Gargi Sawhney
Modeling Preconditions in Text with a Crowd-sourced Dataset (2020.findings-emnlp)
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Heeyoung Kwon, Mahnaz Koupaee, Pratyush Singh, Gargi Sawhney, Anmol Shukla, Keerthi Kumar Kallur, Nathanael Chambers, Niranjan Balasubramanian
| Challenge: | Existing methods for modeling preconditions in text are limited due to the lack of large scale labeled data grounded in text. |
| Approach: | They propose a crowd-sourced annotation of preconditions between event pairs in newswire that is larger than prior annotations. |
| Outcome: | The proposed model outperforms existing models on two task sets, showing that precondition knowledge is not easily accessible in LM-derived representations alone. |