48 citations · 63 across the 5 of their papers we have counts for
5 papers
ClarQ: A large-scale and diverse dataset for Clarification Question Generation
Vaibhav Kumar, Alan W. black
Question answering and conversational systems are often baffled and need help clarifying certain ambiguities. However, limitations of existing datasets hinder the development of la…
On Compositionality in Neural Machine Translation
Vikas Raunak, Vaibhav Kumar, Florian Metze
We investigate two specific manifestations of compositionality in Neural Machine Translation (NMT) : (1) Productivity - the ability of the model to extend its predictions beyond th…
On Dimensional Linguistic Properties of the Word Embedding Space
Vikas Raunak, Vaibhav Kumar, Vivek Gupta +1
Word embeddings have become a staple of several natural language processing tasks, yet much remains to be understood about their properties. In this work, we analyze word embedding…
SWDE : A Sub-Word And Document Embedding Based Engine for Clickbait Detection
Vaibhav Kumar, Mrinal Dhar, Dhruv Khattar +4
In order to expand their reach and increase website ad revenue, media outlets have started using clickbait techniques to lure readers to click on articles on their digital platform…
Identifying Clickbait: A Multi-Strategy Approach Using Neural Networks
Vaibhav Kumar, Dhruv Khattar, Siddhartha Gairola +2
Online media outlets, in a bid to expand their reach and subsequently increase revenue through ad monetisation, have begun adopting clickbait techniques to lure readers to click on…