Search Results for author: Kripabandhu Ghosh

Found 11 papers, 6 papers with code

An Unsupervised Normalization Algorithm for Noisy Text: A Case Study for Information Retrieval and Stance Detection

1 code implementation9 Jan 2021 Anurag Roy, Shalmoli Ghosh, Kripabandhu Ghosh, Saptarshi Ghosh

To enable tasks such as search/retrieval and classification over all the available data, we need robust algorithms for text normalization, i. e., for cleaning different kinds of noise in the text.

Information Retrieval Optical Character Recognition +1

ZSCRGAN: A GAN-based Expectation Maximization Model for Zero-Shot Retrieval of Images from Textual Descriptions

1 code implementation23 Jul 2020 Anurag Roy, Vinay Kumar Verma, Kripabandhu Ghosh, Saptarshi Ghosh

Most existing algorithms for cross-modal Information Retrieval are based on a supervised train-test setup, where a model learns to align the mode of the query (e. g., text) to the mode of the documents (e. g., images) from a given training set.

Cross-Modal Information Retrieval Image Retrieval +3

Utilizing Microblogs for Assisting Post-Disaster Relief Operations via Matching Resource Needs and Availabilities

no code implementations18 Jul 2020 Ritam Dutt, Moumita Basu, Kripabandhu Ghosh, Saptarshi Ghosh

The few prior works that attempted matching only considered the resources, and no attempt has been made to understand other aspects of needs/availabilities that are essential for matching in practice.

Hier-SPCNet: A Legal Statute Hierarchy-based Heterogeneous Network for Computing Legal Case Document Similarity

no code implementations7 Jul 2020 Paheli Bhattacharya, Kripabandhu Ghosh, Arindam Pal, Saptarshi Ghosh

We propose to augment the PCNet with the hierarchy of legal statutes, to form a heterogeneous network Hier-SPCNet, having citation links between case documents and statutes, as well as citation and hierarchy links among the statutes.

NARMADA: Need and Available Resource Managing Assistant for Disasters and Adversities

1 code implementation WS 2020 Kaustubh Hiware, Ritam Dutt, Sayan Sinha, Sohan Patro, Kripabandhu Ghosh, Saptarshi Ghosh

Although a lot of research has been done on utilising Online Social Media during disasters, there exists no system for a specific task that is critical in a post-disaster scenario -- identifying resource-needs and resource-availabilities in the disaster-affected region, coupled with their subsequent matching.

Information Retrieval

Methods for Computing Legal Document Similarity: A Comparative Study

no code implementations26 Apr 2020 Paheli Bhattacharya, Kripabandhu Ghosh, Arindam Pal, Saptarshi Ghosh

Computing similarity between two legal documents is an important and challenging task in the domain of Legal Information Retrieval.

Information Retrieval

Identification of Rhetorical Roles of Sentences in Indian Legal Judgments

1 code implementation13 Nov 2019 Paheli Bhattacharya, Shounak Paul, Kripabandhu Ghosh, Saptarshi Ghosh, Adam Wyner

Automatically understanding the rhetorical roles of sentences in a legal case judgement is an important problem to solve, since it can help in several downstream tasks like summarization of legal judgments, legal search, and so on.

Summarizing User-generated Textual Content: Motivation and Methods for Fairness in Algorithmic Summaries

1 code implementation22 Oct 2018 Abhisek Dash, Anurag Shandilya, Arindam Biswas, Kripabandhu Ghosh, Saptarshi Ghosh, Abhijnan Chakraborty

Specifically, considering that an extractive summarization algorithm selects a subset of the textual units (e. g. microblogs) in the original data for inclusion in the summary, we investigate whether this selection is fair or not.

Extractive Summarization Fairness +1

Learning Multilingual Embeddings for Cross-Lingual Information Retrieval in the Presence of Topically Aligned Corpora

no code implementations12 Apr 2018 Mitodru Niyogi, Kripabandhu Ghosh, Arnab Bhattacharya

The proposed method is superior to the state-of-the-art method not only for IR evaluation measures but also in terms of time requirements.

Information Retrieval

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