Papers by Chinmay Singh
ASL STEM Wiki: Dataset and Benchmark for Interpreting STEM Articles (2024.emnlp-main)
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Kayo Yin, Chinmay Singh, Fyodor Minakov, Vanessa Milan, Hal Daumé Iii, Cyril Zhang, Alex Lu, Danielle Bragg
| Challenge: | Deaf and hard-of-hearing students face significant barriers in accessing STEM education due to the scarcity of STEM resources in signed languages. |
| Approach: | They develop models to identify fingerspelled words in American Sign Language (ASL) given an English sentence and a video, the model detects which English phrase is fingerspelled in the clip. |
| Outcome: | ASL STEM Wiki is the first continuous signing dataset focused on STEM . it detects fingerspelled words and queries them for appropriate signs to suggest to interpreters. |
KARNA at COIN Shared Task 1: Bidirectional Encoder Representations from Transformers with relational knowledge for machine comprehension with common sense (D19-60)
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| Challenge: | Using Bidirectional Encoder Representations from Transformers(BERT) and external relational knowledge from ConceptNet, we are able to achieve an accuracy of 73.3 % on the official test data. |
| Approach: | They propose a model that uses Bidirectional Encoder Representations from Transformers and ConceptNet to tackle the problem of commonsense inference in natural language processing. |
| Outcome: | The proposed model achieves 73.3 % accuracy on the official test data. |