Papers by Lisa Singh

2 papers
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.

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