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20182022
most citedAn Emotion-guided Approach to Domain Adaptive Fake News Detection using Adversarial Learning

1 citations · 1 across the 4 of their papers we have counts for

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cs.CL20221 cited

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…

cs.CL2020

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…

cs.CL2019

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…

cs.CL2019

Multi-view and Multi-source Transfers in Neural Topic Modeling with Pretrained Topic and Word Embeddings

Pankaj Gupta, Yatin Chaudhary, Hinrich Schütze

Though word embeddings and topics are complementary representations, several past works have only used pre-trained word embeddings in (neural) topic modeling to address data sparsi…

cs.CL2018

Neural Relation Extraction Within and Across Sentence Boundaries

Pankaj Gupta, Subburam Rajaram, Hinrich Schütze +2

Past work in relation extraction mostly focuses on binary relation between entity pairs within single sentence. Recently, the NLP community has gained interest in relation extracti…