Search Results for author: Nidhi Vyas

Found 8 papers, 2 papers with code

Namesakes: Ambiguously Named Entities from Wikipedia and News

no code implementations22 Nov 2021 Oleg Vasilyev, Aysu Altun, Nidhi Vyas, Vedant Dharnidharka, Erika Lam, John Bohannon

We present Namesakes, a dataset of ambiguously named entities obtained from English-language Wikipedia and news articles.

Entity Linking

Training With Data Dependent Dynamic Learning Rates

no code implementations27 May 2021 Shreyas Saxena, Nidhi Vyas, Dennis Decoste

This setting is widely adopted under the assumption that loss functions for each instance are similar in nature, and hence, a common learning rate can be used.

Image Classification

Learning Soft Labels via Meta Learning

no code implementations20 Sep 2020 Nidhi Vyas, Shreyas Saxena, Thomas Voice

One-hot labels do not represent soft decision boundaries among concepts, and hence, models trained on them are prone to overfitting.

Image Classification Meta-Learning

Measuring Bias in Contextualized Word Representations

1 code implementation WS 2019 Keita Kurita, Nidhi Vyas, Ayush Pareek, Alan W. black, Yulia Tsvetkov

Contextual word embeddings such as BERT have achieved state of the art performance in numerous NLP tasks.

Word Embeddings

The ARIEL-CMU Systems for LoReHLT18

no code implementations24 Feb 2019 Aditi Chaudhary, Siddharth Dalmia, Junjie Hu, Xinjian Li, Austin Matthews, Aldrian Obaja Muis, Naoki Otani, Shruti Rijhwani, Zaid Sheikh, Nidhi Vyas, Xinyi Wang, Jiateng Xie, Ruochen Xu, Chunting Zhou, Peter J. Jansen, Yiming Yang, Lori Levin, Florian Metze, Teruko Mitamura, David R. Mortensen, Graham Neubig, Eduard Hovy, Alan W. black, Jaime Carbonell, Graham V. Horwood, Shabnam Tafreshi, Mona Diab, Efsun S. Kayi, Noura Farra, Kathleen McKeown

This paper describes the ARIEL-CMU submissions to the Low Resource Human Language Technologies (LoReHLT) 2018 evaluations for the tasks Machine Translation (MT), Entity Discovery and Linking (EDL), and detection of Situation Frames in Text and Speech (SF Text and Speech).

Machine Translation Translation

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