Search Results for author: Jishnu Ray Chowdhury

Found 13 papers, 9 papers with code

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

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

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 +2

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.

ListOps Natural Language Inference +1

KPDrop: Improving Absent Keyphrase Generation

1 code implementation2 Dec 2021 Jishnu Ray Chowdhury, Seoyeon Park, Tuhin Kundu, Cornelia Caragea

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

Keyphrase Generation

Keyphrase Generation Beyond the Boundaries of Title and Abstract

1 code implementation13 Dec 2021 Krishna Garg, Jishnu Ray Chowdhury, Cornelia Caragea

Unlike prior large-scale datasets, FullTextKP includes the full text of the articles along with the title and abstract.

Keyphrase Generation

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 Question-Generation

Neural Keyphrase Generation: Analysis and Evaluation

no code implementations27 Apr 2023 Tuhin Kundu, Jishnu Ray Chowdhury, Cornelia Caragea

Keyphrase generation aims at generating topical phrases from a given text either by copying from the original text (present keyphrases) or by producing new keyphrases (absent keyphrases) that capture the semantic meaning of the text.

Keyphrase Generation Semantic Similarity +1

Data Augmentation for Low-Resource Keyphrase Generation

1 code implementation29 May 2023 Krishna Garg, Jishnu Ray Chowdhury, Cornelia Caragea

Very few works address the problem of keyphrase generation in low-resource settings, but they still rely on a lot of additional unlabeled data for pretraining and on automatic methods for pseudo-annotations.

Data Augmentation Keyphrase Generation

Monotonic Location Attention for Length Generalization

1 code implementation31 May 2023 Jishnu Ray Chowdhury, Cornelia Caragea

We explore different ways to utilize position-based cross-attention in seq2seq networks to enable length generalization in algorithmic tasks.

Position

Beam Tree Recursive Cells

1 code implementation31 May 2023 Jishnu Ray Chowdhury, Cornelia Caragea

We propose Beam Tree Recursive Cell (BT-Cell) - a backpropagation-friendly framework to extend Recursive Neural Networks (RvNNs) with beam search for latent structure induction.

ListOps

Recurrent Transformers with Dynamic Halt

no code implementations1 Feb 2024 Jishnu Ray Chowdhury, Cornelia Caragea

In this paper, we study the inductive biases of two major approaches to augmenting Transformers with a recurrent mechanism - (1) the approach of incorporating a depth-wise recurrence similar to Universal Transformers; and (2) the approach of incorporating a chunk-wise temporal recurrence like Temporal Latent Bottleneck.

Language Modelling ListOps

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