20 citations · 29 across the 8 of their papers we have counts for
10 papers
Adversarial Adaptation for French Named Entity Recognition
Arjun Choudhry, Inder Khatri, Pankaj Gupta +4
Named Entity Recognition (NER) is the task of identifying and classifying named entities in large-scale texts into predefined classes. NER in French and other relatively limited-re…
An Emotion-guided Approach to Domain Adaptive Fake News Detection using Adversarial Learning
Arkajyoti Chakraborty, Inder Khatri, Arjun Choudhry +3
Recent works on fake news detection have shown the efficacy of using emotions as a feature for improved performance. However, the cross-domain impact of emotion-guided features for…
TopicBERT for Energy Efficient Document Classification
Yatin Chaudhary, Pankaj Gupta, Khushbu Saxena +3
Prior research notes that BERT's computational cost grows quadratically with sequence length thus leading to longer training times, higher GPU memory constraints and carbon emissio…
Neural Topic Modeling with Continual Lifelong Learning
Pankaj Gupta, Yatin Chaudhary, Thomas Runkler +1
Lifelong learning has recently attracted attention in building machine learning systems that continually accumulate and transfer knowledge to help future learning. Unsupervised top…
Explainable and Discourse Topic-aware Neural Language Understanding
Yatin Chaudhary, Hinrich Schütze, Pankaj Gupta
Marrying topic models and language models exposes language understanding to a broader source of document-level context beyond sentences via topics. While introducing topical semant…
Linguistically Informed Relation Extraction and Neural Architectures for Nested Named Entity Recognition in BioNLP-OST 2019
Usama Yaseen, Pankaj Gupta, Hinrich Schütze
Named Entity Recognition (NER) and Relation Extraction (RE) are essential tools in distilling knowledge from biomedical literature. This paper presents our findings from participat…