no code implementations • 15 Jul 2022 • Shounak Naik, Rajaswa Patil, Swati Agarwal, Veeky Baths
In this paper, we propose using Representational Similarity Analysis to probe the semantic grounding in language models of code.
1 code implementation • EMNLP (ACL) 2021 • Abheesht Sharma, Gunjan Chhablani, Harshit Pandey, Rajaswa Patil
In this work, we present to the NLP community, and to the wider research community as a whole, an application for the diachronic analysis of research corpora.
no code implementations • 11 May 2021 • Arijit Gupta, Rajaswa Patil, Veeky Baths
Our experiments demonstrate the ease of usage and effectiveness of diachronic distributed word representations in modeling lexical development.
no code implementations • EMNLP (MRL) 2021 • Rajaswa Patil, Jasleen Dhillon, Siddhant Mahurkar, Saumitra Kulkarni, Manav Malhotra, Veeky Baths
We use the datasets from the evaluation tasks to probe five multilingual language models of varying architectures for syntax in Indic languages.
no code implementations • 31 Dec 2020 • Rajaswa Patil, Yaman Kumar Singla, Rajiv Ratn Shah, Mika Hama, Roger Zimmermann
While there has been significant progress towards modelling coherence in written discourse, the work in modelling spoken discourse coherence has been quite limited.
no code implementations • SEMEVAL 2020 • Siddhant Mahurkar, Rajaswa Patil
In this paper, we assess the ability of BERT and its derivative models (RoBERTa, DistilBERT, and ALBERT) for short-edits based humor grading.
no code implementations • SEMEVAL 2020 • Rajaswa Patil, Veeky Baths
We use pre-trained transformer models to extract contextual embeddings and self-attention weights from the text.
no code implementations • SEMEVAL 2020 • Rajaswa Patil, Somesh Singh, Swati Agarwal
Propaganda spreads the ideology and beliefs of like-minded people, brainwashing their audiences, and sometimes leading to violence.