1 code implementation • EMNLP 2021 • Xuan Wang, Vivian Hu, Xiangchen Song, Shweta Garg, Jinfeng Xiao, Jiawei Han
For example, chemistry research needs to study dozens to hundreds of distinct, fine-grained entity types, making consistent and accurate annotation difficult even for crowds of domain experts.
no code implementations • 5 Feb 2024 • Fahim Mohammad, Lakshmi Arunachalam, Samanway Sadhu, Boudewijn Aasman, Shweta Garg, Adil Ahmed, Silvie Colman, Meena Arunachalam, Sudhir Kulkarni, Parsa Mirhaji
The model achieved a normalized utility score of 0. 494 on test data and 0. 378 on prospective data at threshold 0. 3.
1 code implementation • 7 Nov 2021 • Yu Zhang, Shweta Garg, Yu Meng, Xiusi Chen, Jiawei Han
We study the problem of weakly supervised text classification, which aims to classify text documents into a set of pre-defined categories with category surface names only and without any annotated training document provided.
no code implementations • IJCNLP 2019 • Sawan Kumar, Shweta Garg, Kartik Mehta, Nikhil Rasiwasia
In this paper, we establish the effectiveness of using hard negatives, coupled with a siamese network and a suitable loss function, for the tasks of answer selection and answer triggering.
no code implementations • IJCNLP 2017 • Shweta Garg, Sudhanshu S Singh, Abhijit Mishra, Kuntal Dey
Automatic analysis of curriculum vitae (CVs) of applicants is of tremendous importance in recruitment scenarios.