1 code implementation • EMNLP (WNUT) 2020 • Tejas Vaidhya, Ayush Kaushal
Supervised models trained to predict properties from representations have been achieving high accuracy on a variety of tasks. For in-stance, the BERT family seems to work exceptionally well on the downstream task from NER tagging to the range of other linguistictasks.
no code implementations • EMNLP (WNUT) 2020 • Ayush Kaushal, Tejas Vaidhya
Twitter has acted as an important source of information during disasters and pandemic, especially during the times of COVID-19.
no code implementations • Findings (EMNLP) 2021 • Zhijing Jin, Zeyu Peng, Tejas Vaidhya, Bernhard Schoelkopf, Rada Mihalcea
Mining the causes of political decision-making is an active research area in the field of political science.
no code implementations • 25 Sep 2023 • Ayush Kaushal, Tejas Vaidhya, Irina Rish
Low Rank Decomposition of matrix - splitting a large matrix into a product of two smaller matrix offers a means for compression that reduces the parameters of a model without sparsification, and hence delivering more speedup on modern hardware.
2 code implementations • 28 Feb 2022 • Zhijing Jin, Abhinav Lalwani, Tejas Vaidhya, Xiaoyu Shen, Yiwen Ding, Zhiheng Lyu, Mrinmaya Sachan, Rada Mihalcea, Bernhard Schölkopf
In this paper, we propose the task of logical fallacy detection, and provide a new dataset (Logic) of logical fallacies generally found in text, together with an additional challenge set for detecting logical fallacies in climate change claims (LogicClimate).
1 code implementation • EMNLP 2021 • Zhijing Jin, Julius von Kügelgen, Jingwei Ni, Tejas Vaidhya, Ayush Kaushal, Mrinmaya Sachan, Bernhard Schölkopf
The principle of independent causal mechanisms (ICM) states that generative processes of real world data consist of independent modules which do not influence or inform each other.
1 code implementation • 14 Jan 2021 • Ojasv Kamal, Adarsh Kumar, Tejas Vaidhya
This paper harnesses attention based pre-trained models fine-tuned on Hindi data with Hostile-Non hostile task as Auxiliary and fusing its features for further sub-tasks classification.
1 code implementation • 21 Dec 2020 • Tejas Vaidhya, Ayush Kaushal
Supervised models trained to predict properties from representations have been achieving high accuracy on a variety of tasks.
Ranked #2 on Named Entity Recognition (NER) on WNUT 2020
1 code implementation • 18 Dec 2020 • Ayush Kaushal, Tejas Vaidhya
Twitter has acted as an important source of information during disasters and pandemic, especially during the times of COVID-19.