Aarohi Srivastava — accepted AI-conference papers

2024

DIALECTBENCH: An NLP Benchmark for Dialects, Varieties, and Closely-Related Languages

Fahim Faisal, Orevaoghene Ahia, Aarohi Srivastava, Kabir Ahuja, David Chiang, Yulia Tsvetkov +1

ACL 2024long

Language technologies should be judged on their usefulness in real-world use cases. An often overlooked aspect in natural language processing (NLP) research and evaluation is language variation in the form of non-standard dialects or language varieties (hereafter, varieties). Most NLP benchmarks are…

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2023

BERTwich: Extending BERT’s Capabilities to Model Dialectal and Noisy Text

Aarohi Srivastava, David Chiang

EMNLP 2023long findings

Real-world NLP applications often deal with nonstandard text (e.g., dialectal, informal, or misspelled text). However, language models like BERT deteriorate in the face of dialect variation or noise. How do we push BERT’s modeling capabilities to encompass nonstandard text? Fine-tuning helps, but it…

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