Papers by Shraey Bhatia

2 papers
Automatic Classification of Neutralization Techniques in the Narrative of Climate Change Scepticism (2021.naacl-main)

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Challenge: neutralisation is used to justify lack of action or promote an alternative view of climate change . action on climate change has become an increasingly partisan issue with strong opposition voices discrediting scientists and spreading scepticism and misinformation.
Approach: They propose to use neutralisation techniques to introduce the problem to the nlp community and to collect manual annotations of neutralised techniques in text relating to climate change.
Outcome: The proposed models are supervised and semi-supervised by a team of researchers from the nlp and the ccsc.
Topic Intrusion for Automatic Topic Model Evaluation (D18-1)

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Challenge: Topic coherence is increasingly being used to evaluate topic models and filter topics for end-user applications.
Approach: They propose to use topic intrusion to guess an outlier topic given a document and a few topics to automate the task.
Outcome: The proposed method improves upon the state-of-the-art method and shows it can be used as an alternative to topic perplexity evaluation.

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