Search Results for author: Priya Rani

Found 13 papers, 1 papers with code

ULD-NUIG at Social Media Mining for Health Applications (#SMM4H) Shared Task 2021

no code implementations NAACL (SMM4H) 2021 Atul Kr. Ojha, Priya Rani, Koustava Goswami, Bharathi Raja Chakravarthi, John P. McCrae

Social media platforms such as Twitter and Facebook have been utilised for various research studies, from the cohort-level discussion to community-driven approaches to address the challenges in utilizing social media data for health, clinical and biomedical information.

named-entity-recognition Named Entity Recognition +1

MaCmS: Magahi Code-mixed Dataset for Sentiment Analysis

no code implementations7 Mar 2024 Priya Rani, Gaurav Negi, Theodorus Fransen, John P. McCrae

The present paper introduces new sentiment data, MaCMS, for Magahi-Hindi-English (MHE) code-mixed language, where Magahi is a less-resourced minority language.

Sentiment Analysis

ML-On-Rails: Safeguarding Machine Learning Models in Software Systems A Case Study

no code implementations12 Jan 2024 Hala Abdelkader, Mohamed Abdelrazek, Scott Barnett, Jean-Guy Schneider, Priya Rani, Rajesh Vasa

In this paper, we introduce ML-On-Rails, a protocol designed to safeguard ML models, establish a well-defined endpoint interface for different ML tasks, and clear communication between ML providers and ML consumers (software engineers).

Smart Home Goal Feature Model -- A guide to support Smart Homes for Ageing in Place

no code implementations14 Nov 2023 Irini Logothetis, Priya Rani, Shangeetha Sivasothy, Rajesh Vasa, Kon Mouzakis

Our model provides guidance to healthcare researchers and aged care industries to set up smart homes based on the needs of elderly, by defining a set of goals at different levels mapped to a different set of features.

Weakly-supervised Deep Cognate Detection Framework for Low-Resourced Languages Using Morphological Knowledge of Closely-Related Languages

1 code implementation9 Nov 2023 Koustava Goswami, Priya Rani, Theodorus Fransen, John P. McCrae

We train an encoder to gain morphological knowledge of a language and transfer the knowledge to perform unsupervised and weakly-supervised cognate detection tasks with and without the pivot language for the closely-related languages.

Information Retrieval named-entity-recognition +3

A Survey of Orthographic Information in Machine Translation

no code implementations4 Aug 2020 Bharathi Raja Chakravarthi, Priya Rani, Mihael Arcan, John P. McCrae

It introduces under-resourced languages in terms of machine translation and how orthographic information can be utilised to improve machine translation.

Bilingual Lexicon Induction Translation

Panlingua-KMI MT System for Similar Language Translation Task at WMT 2019

no code implementations WS 2019 Atul Kr. Ojha, Ritesh Kumar, Akanksha Bansal, Priya Rani

The present paper enumerates the development of Panlingua-KMI Machine Translation (MT) systems for Hindi ↔ Nepali language pair, designed as part of the Similar Language Translation Task at the WMT 2019 Shared Task.

Machine Translation NMT +1

KMI-Coling at SemEval-2019 Task 6: Exploring N-grams for Offensive Language detection

no code implementations SEMEVAL 2019 Priya Rani, Atul Kr. Ojha

In this paper, we present the system description of Offensive language detection tool which is developed by the KMI{\_}Coling under the OffensEval Shared task.

Automatic Language Identification System for Hindi and Magahi

no code implementations13 Apr 2018 Priya Rani, Atul Kr. Ojha, Girish Nath Jha

Language identification has become a prerequisite for all kinds of automated text processing systems.

Language Identification

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