no code implementations • 4 Dec 2021 • Ishan Tarunesh, Somak Aditya, Monojit Choudhury
Natural Language Inference (NLI) is considered a representative task to test natural language understanding (NLU).
1 code implementation • 15 Jul 2021 • Ishan Tarunesh, Somak Aditya, Monojit Choudhury
The recent state-of-the-art natural language understanding (NLU) systems often behave unpredictably, failing on simpler reasoning examples.
1 code implementation • ACL 2021 • Ishan Tarunesh, Syamantak Kumar, Preethi Jyothi
Generating code-switched text is a problem of growing interest, especially given the scarcity of corpora containing large volumes of real code-switched text.
1 code implementation • EACL 2021 • Ishan Tarunesh, Sushil Khyalia, Vishwajeet Kumar, Ganesh Ramakrishnan, Preethi Jyothi
We present experiments on five different tasks and six different languages from the XTREME multilingual benchmark dataset.
no code implementations • 25 Oct 2019 • Yash Shah, Ishan Tarunesh, Harsh Deshpande, Preethi Jyothi
Neural language models (LMs) have shown to benefit significantly from enhancing word vectors with subword-level information, especially for morphologically rich languages.