Papers by Anusua Trivedi

2 papers
Domain-specific transformer models for query translation (2023.acl-industry)

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Challenge: In domains such as Grocery, users prefer to buy certain brands of products . a large non-English speaking population makes it difficult to translate code-mix queries .
Approach: They propose a model to preserve/correct Grocery brand names while translating context words . they propose to use a dataset of popular Groceries brand names to train the model .
Outcome: The proposed model preserves/corrects Grocery brand names while translating context words . it is tested with a large non-English speaking population and is deployed in production .
Label efficient semi-supervised conversational intent classification (2023.acl-industry)

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Challenge: A conversational chatbot can answer pre-purchase questions and post-purchase queries to provide a seamless shopping experience.
Approach: They propose a semi-supervised learning approach for label-efficient intent classification using a small labeled corpus and large unlabeled query data to train a transformer model.
Outcome: The proposed approach significantly improves over the baseline, even with a limited labeled set.

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