Papers by Lisa Singh
Knowledge Enhanced Masked Language Model for Stance Detection (2021.naacl-main)
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| Challenge: | Detecting stance on Twitter is difficult because of the short length of each tweet . Twitter content is dynamic, constantly coining new terminology and hashtags . |
| Approach: | They propose a BERT-based fine-tuning method that enhances stance detection models . they use weighted log-odds-ratio to identify words with high stance distinguishability . |
| Outcome: | The proposed method outperforms the state-of-the-art for stance detection on Twitter data about the 2020 US presidential election. |
PoliBERTweet: A Pre-trained Language Model for Analyzing Political Content on Twitter (2022.lrec-1)
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| Challenge: | Pre-trained domain-specific models are useful for understanding domain-level contexts. |
| Approach: | They propose to use a pre-trained language model to better capture domain-specific contexts. |
| Outcome: | The proposed model outperforms general-purpose models on election-related tasks. |