Search Results for author: Jishnu Ray Chowdhury

Found 8 papers, 4 papers with code

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

1 code implementation9 Mar 2022 Jishnu Ray Chowdhury, Debanjan Mahata, Cornelia Caragea

Second, we compare different strategies to utilize a pre-trained seq2seq model to generate and select a set of questions related to a given paragraph.

Question Generation

Keyphrase Generation Beyond the Boundaries of Title and Abstract

no code implementations13 Dec 2021 Krishna Garg, Jishnu Ray Chowdhury, Cornelia Caragea

We discover that adding sentences from the full text particularly in the form of summary of the article can significantly improve the generation of both types of keyphrases that are either present or absent from the title and abstract.

Keyphrase Generation

KPDrop: An Approach to Improving Absent Keyphrase Generation

no code implementations2 Dec 2021 Seoyeon Park, Jishnu Ray Chowdhury, Tuhin Kundu, Cornelia Caragea

Keyphrase generation is the task of generating phrases (keyphrases) that summarize the main topics of a given document.

Keyphrase Generation

Modeling Hierarchical Structures with Continuous Recursive Neural Networks

1 code implementation10 Jun 2021 Jishnu Ray Chowdhury, Cornelia Caragea

We also show that CRvNN performs comparably or better than prior latent structure models on real-world tasks such as sentiment analysis and natural language inference.

Natural Language Inference Sentiment Analysis

Cross-Lingual Disaster-related Multi-label Tweet Classification with Manifold Mixup

1 code implementation ACL 2020 Jishnu Ray Chowdhury, Cornelia Caragea, Doina Caragea

Distinguishing informative and actionable messages from a social media platform like Twitter is critical for facilitating disaster management.

General Classification Management +1

On Identifying Hashtags in Disaster Twitter Data

1 code implementation5 Jan 2020 Jishnu Ray Chowdhury, Cornelia Caragea, Doina Caragea

Moreover, only a small number of tweets that contain actionable hashtags are useful for disaster response.

Disaster Response Multi-Task Learning

Keyphrase Extraction from Disaster-related Tweets

no code implementations17 Oct 2019 Jishnu Ray Chowdhury, Cornelia Caragea, Doina Caragea

Previously, joint training of two different layers of a stacked Recurrent Neural Network for keyword discovery and keyphrase extraction had been shown to be effective in extracting keyphrases from general Twitter data.

Keyphrase Extraction POS +1

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