Rohit Patki

2 accepted papers

2024

AmazonQAC: A Large-Scale, Naturalistic Query Autocomplete Dataset

Dante Everaert, Rohit Patki, Tianqi Zheng, Christopher Potts

EMNLP 2024industry

Query Autocomplete (QAC) is a critical feature in modern search engines, facilitating user interaction by predicting search queries based on input prefixes. Despite its widespread adoption, the absence of large-scale, realistic datasets has hindered advancements in QAC system development. This paper…

Cited by 1 Source ↗PDF ↗Scholar ↗

2024

Retrieval Augmented Spelling Correction for E-Commerce Applications

Xuan Guo, Rohit Patki, Dante Everaert, Christopher Potts

EMNLP 2024industry

The rapid introduction of new brand names into everyday language poses a unique challenge for e-commerce spelling correction services, which must distinguish genuine misspellings from novel brand names that use unconventional spelling. We seek to address this challenge via Retrieval Augmented Genera…

Cited by 0 Source ↗PDF ↗Scholar ↗