no code implementations • EACL (LTEDI) 2021 • Megha Sharma, Gaurav Arora
We describe our system that ranked first in Hope Speech Detection (HSD) shared task and fourth in Offensive Language Identification (OLI) shared task, both in Tamil language.
1 code implementation • 29 Nov 2023 • Depanshu Sani, Sandeep Mahato, Sourabh Saini, Harsh Kumar Agarwal, Charu Chandra Devshali, Saket Anand, Gaurav Arora, Thiagarajan Jayaraman
Out of the 2, 370 samples, 351 paddy samples from 145 plots are annotated with multiple crop parameters; such as the variety of paddy, its growing season and productivity in terms of per-acre yields.
Ranked #1 on Crop Yield Prediction on SICKLE
no code implementations • 25 Sep 2022 • Depanshu Sani, Sandeep Mahato, Parichya Sirohi, Saket Anand, Gaurav Arora, Charu Chandra Devshali, Thiagarajan Jayaraman, Harsh Kumar Agarwal
We also propose a yield prediction strategy that uses time-series data generated based on the observed growing season and the standard seasonal information obtained from Tamil Nadu Agricultural University for the region.
no code implementations • 6 May 2022 • Depanshu Sani, Sandeep Mahato, Parichya Sirohi, Saket Anand, Gaurav Arora, Charu Chandra Devshali, T. Jayaraman
The F1-score is increased by 7% when using multispectral data of MSTR images as compared to the best results obtained from HSTR images.
no code implementations • 5 Oct 2020 • Gaurav Arora
We participated in both Sub-task A, which aims to identify offensive content in mixed-script (mixture of Native and Roman script) and Sub-task B, which aims to identify offensive content in Roman script, for Dravidian languages.
1 code implementation • EMNLP (insights) 2020 • Gaurav Arora, Chirag Jain, Manas Chaturvedi, Krupal Modi
Intent Detection systems in the real world are exposed to complexities of imbalanced datasets containing varying perception of intent, unintended correlations and domain-specific aberrations.
1 code implementation • EMNLP (NLPOSS) 2020 • Gaurav Arora
We present iNLTK, an open-source NLP library consisting of pre-trained language models and out-of-the-box support for Data Augmentation, Textual Similarity, Sentence Embeddings, Word Embeddings, Tokenization and Text Generation in 13 Indic Languages.
no code implementations • ALTA 2019 • Gaurav Arora, Afshin Rahimi, Timothy Baldwin
Catastrophic forgetting {---} whereby a model trained on one task is fine-tuned on a second, and in doing so, suffers a {``}catastrophic{''} drop in performance over the first task {---} is a hurdle in the development of better transfer learning techniques.
no code implementations • 13 Feb 2018 • Parth Mehta, Gaurav Arora, Prasenjit Majumder
We propose a new attention based deep learning architecture that jointly learns to identify important content, as well as the cue phrases that are indicative of summary worthy sentences.