337 citations · 479 across the 29 of their papers we have counts for
7 papers · 1 filter
Analysis of Reference and Citation Copying in Evolving Bibliographic Networks
Pradumn Kumar Pandey, Mayank Singh, Pawan Goyal +2
Extensive literature demonstrates how the copying of references (links) can lead to the emergence of various structural properties (e.g., power-law degree distribution and bipartit…
Scene Graph based Image Retrieval -- A case study on the CLEVR Dataset
Sahana Ramnath, Amrita Saha, Soumen Chakrabarti +1
With the prolification of multimodal interaction in various domains, recently there has been much interest in text based image retrieval in the computer vision community. However m…
Differentially Private Link Prediction With Protected Connections
Abir De, Soumen Chakrabarti
Link prediction (LP) algorithms propose to each node a ranked list of nodes that are currently non-neighbors, as the most likely candidates for future linkage. Owing to increasing…
Topic Sensitive Attention on Generic Corpora Corrects Sense Bias in Pretrained Embeddings
Vihari Piratla, Sunita Sarawagi, Soumen Chakrabarti
Given a small corpus pertaining to a limited set of focused topics, our goal is to train embeddings that accurately capture the sense of words in the topic in spite…
A Deep Generative Model for Code-Switched Text
Bidisha Samanta, Sharmila Reddy, Hussain Jagirdar +2
Code-switching, the interleaving of two or more languages within a sentence or discourse is pervasive in multilingual societies. Accurate language models for code-switched text are…
Improved Sentiment Detection via Label Transfer from Monolingual to Synthetic Code-Switched Text
Bidisha Samanta, Niloy Ganguly, Soumen Chakrabarti
Multilingual writers and speakers often alternate between two languages in a single discourse, a practice called "code-switching". Existing sentiment detection methods are usually…
Multi-task Learning for Target-dependent Sentiment Classification
Divam Gupta, Kushagra Singh, Soumen Chakrabarti +1
Detecting and aggregating sentiments toward people, organizations, and events expressed in unstructured social media have become critical text mining operations. Early systems dete…