Papers by Parameswari Krishnamurthy

2 papers
Fine-tuning Pre-trained Named Entity Recognition Models For Indian Languages (2024.naacl-srw)

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Challenge: Named Entity Recognition (NER) is a useful component in NLP applications.
Approach: They propose to use annotated named entity corpora to classify a given entity into a category within a textual document.
Outcome: The proposed model achieves an F1 score of 0.80 on an unseen dataset for Indian languages.
Multilingual Idioms in Sentences and Conversations Across High-, Medium-, and Low-Resource Languages (2026.acl-long)

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Challenge: idioms are a major challenge for multilingual NLP because their meanings shift between figurative and literal usage, often requiring context for accurate interpretation.
Approach: They propose a multilingual idiom dataset that provides idiomatic expressions in both sentence-level and conversational contexts.
Outcome: The proposed model performs well with low-resource idioms, but lacks contextual inference.

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