activity
20192022
most citedKeyphrase Extraction from Disaster-related Tweets

34 citations · 40 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CL20224 cited

Novelty Controlled Paraphrase Generation with Retrieval Augmented Conditional Prompt Tuning

Jishnu Ray Chowdhury, Yong Zhuang, Shuyi Wang

Paraphrase generation is a fundamental and long-standing task in natural language processing. In this paper, we concentrate on two contributions to the task: (1) we propose Retriev…

cs.CL2022

On the Evaluation of Answer-Agnostic Paragraph-level Multi-Question Generation

Jishnu Ray Chowdhury, Debanjan Mahata, Cornelia Caragea

We study the task of predicting a set of salient questions from a given paragraph without any prior knowledge of the precise answer. We make two main contributions. First, we propo…

cs.CL20212 cited

Modeling Hierarchical Structures with Continuous Recursive Neural Networks

Jishnu Ray Chowdhury, Cornelia Caragea

Recursive Neural Networks (RvNNs), which compose sequences according to their underlying hierarchical syntactic structure, have performed well in several natural language processin…

cs.IR2020

On Identifying Hashtags in Disaster Twitter Data

Jishnu Ray Chowdhury, Cornelia Caragea, Doina Caragea

Tweet hashtags have the potential to improve the search for information during disaster events. However, there is a large number of disaster-related tweets that do not have any use…

cs.IR201934 cited

Keyphrase Extraction from Disaster-related Tweets

Jishnu Ray Chowdhury, Cornelia Caragea, Doina Caragea

While keyphrase extraction has received considerable attention in recent years, relatively few studies exist on extracting keyphrases from social media platforms such as Twitter, a…