Papers by Aaron Nash
MASSIVE: A 1M-Example Multilingual Natural Language Understanding Dataset with 51 Typologically-Diverse Languages (2023.acl-long)
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Jack FitzGerald, Christopher Hench, Charith Peris, Scott Mackie, Kay Rottmann, Ana Sanchez, Aaron Nash, Liam Urbach, Vishesh Kakarala, Richa Singh, Swetha Ranganath, Laurie Crist, Misha Britan, Wouter Leeuwis, Gokhan Tur, Prem Natarajan
| Challenge: | We present the MASSIVE dataset–Multilingual Amazon Slu resource package (SLURP) for Slot-filling, Intent classification, and Virtual assistant evaluation. |
| Approach: | They present a 1M-example dataset of Amazon Slu utterances . they localize the dataset into 50 typologically diverse languages . |
| Outcome: | The proposed model includes exact match accuracy, intent classification accuracy, and slot-filling F1 score. |