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Charu Karakkaparambil James

2 accepted papers

2024

Characterizing Text Datasets with Psycholinguistic Features

EMNLP 2024finding

Fine-tuning pretrained language models on task-specific data is a common practice in Natural Language Processing (NLP) applications. However, the number of pretrained models available to choose from can be very large, and it remains unclear how to select the optimal model without spending considerab…

2024

Evaluating Dynamic Topic Models

ACL 2024long

There is a lack of quantitative measures to evaluate the progression of topics through time in dynamic topic models (DTMs). Filling this gap, we propose a novel evaluation measure for DTMs that analyzes the changes in the quality of each topic over time. Additionally, we propose an extension combini…

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