output
19992020
most citedUnleashing the power of disruptive and emerging technologies amid COVID-19: A detailed review

61 citations

14 papers

cs.DL2020

Visual Exploration and Knowledge Discovery from Biomedical Dark Data

Shashwat Aggarwal, Ramesh Singh

Data visualization techniques proffer efficient means to organize and present data in graphically appealing formats, which not only speeds up the process of decision making and pat…

cs.CL2020

Metaphor Detection using Deep Contextualized Word Embeddings

Shashwat Aggarwal, Ramesh Singh

Metaphors are ubiquitous in natural language, and their detection plays an essential role in many natural language processing tasks, such as language understanding, sentiment analy…

cs.CL2020★ 4 cited

Validation and Normalization of DCS corpus using Sanskrit Heritage tools to build a tagged Gold Corpus

Sriram Krishnan, Amba Kulkarni, Gérard Huet

The Digital Corpus of Sanskrit records around 650,000 sentences along with their morphological and lexical tagging. But inconsistencies in morphological analysis, and in providing…

cs.CL2020★ 2 cited

Sanskrit Segmentation Revisited

Sriram Krishnan, Amba Kulkarni

Computationally analyzing Sanskrit texts requires proper segmentation in the initial stages. There have been various tools developed for Sanskrit text segmentation. Of these, Gérar…

cs.CY2020★ 61 cited

Unleashing the power of disruptive and emerging technologies amid COVID-19: A detailed review

Sonali Agarwal, Narinder Singh Punn, Sanjay Kumar Sonbhadra +4

The unprecedented outbreak of the novel coronavirus (COVID-19), during early December 2019 in Wuhan, China, has quickly evolved into a global pandemic, became a matter of grave con…

math.FA2020

Positive linear maps and eigenvalue estimates for nonnegative matrices

R. Sharma, M. Pal, A. Sharma

We show how positive unital linear maps can be used to obtain some bounds for the eigenvalues of nonnegative matrices.