56 citations · 75 across the 12 of their papers we have counts for
12 papers
When retrieval outperforms generation: Dense evidence retrieval for scalable fake news detection
Alamgir Munir Qazi, John P. McCrae, Jamal Abdul Nasir
The proliferation of misinformation necessitates robust yet computationally efficient fact verification systems. While current state-of-the-art approaches leverage Large Language M…
Inferring Adjective Hypernyms with Language Models to Increase the Connectivity of Open English Wordnet
Lorenzo Augello, John P. McCrae
Open English Wordnet is a key resource published in OntoLex-lemon as part of the linguistic linked open data cloud. There are, however, many links missing in the resource, and in t…
Evaluating Text Style Transfer Evaluation: Are There Any Reliable Metrics?
Sourabrata Mukherjee, Atul Kr. Ojha, John P. McCrae +1
Text style transfer (TST) is the task of transforming a text to reflect a particular style while preserving its original content. Evaluating TST outputs is a multidimensional chall…
Multilingual Text Style Transfer: Datasets & Models for Indian Languages
Sourabrata Mukherjee, Atul Kr. Ojha, Akanksha Bansal +3
Text style transfer (TST) involves altering the linguistic style of a text while preserving its core content. This paper focuses on sentiment transfer, a popular TST subtask, acros…
MaCmS: Magahi Code-mixed Dataset for Sentiment Analysis
Priya Rani, Gaurav Negi, Theodorus Fransen +1
The present paper introduces new sentiment data, MaCMS, for Magahi-Hindi-English (MHE) code-mixed language, where Magahi is a less-resourced minority language. This dataset is the…
Text Detoxification as Style Transfer in English and Hindi
Sourabrata Mukherjee, Akanksha Bansal, Atul Kr. Ojha +2
This paper focuses on text detoxification, i.e., automatically converting toxic text into non-toxic text. This task contributes to safer and more respectful online communication an…
Weakly-supervised Deep Cognate Detection Framework for Low-Resourced Languages Using Morphological Knowledge of Closely-Related Languages
Koustava Goswami, Priya Rani, Theodorus Fransen +1
Exploiting cognates for transfer learning in under-resourced languages is an exciting opportunity for language understanding tasks, including unsupervised machine translation, name…
TamilEmo: Finegrained Emotion Detection Dataset for Tamil
Charangan Vasantharajan, Sean Benhur, Prasanna Kumar Kumarasen +8
Emotional Analysis from textual input has been considered both a challenging and interesting task in Natural Language Processing. However, due to the lack of datasets in low-resour…
Findings of the Sentiment Analysis of Dravidian Languages in Code-Mixed Text
Bharathi Raja Chakravarthi, Ruba Priyadharshini, Sajeetha Thavareesan +8
We present the results of the Dravidian-CodeMix shared task held at FIRE 2021, a track on sentiment analysis for Dravidian Languages in Code-Mixed Text. We describe the task, its o…
Dataset for Identification of Homophobia and Transophobia in Multilingual YouTube Comments
Bharathi Raja Chakravarthi, Ruba Priyadharshini, Rahul Ponnusamy +6
The increased proliferation of abusive content on social media platforms has a negative impact on online users. The dread, dislike, discomfort, or mistrust of lesbian, gay, transge…
DravidianCodeMix: Sentiment Analysis and Offensive Language Identification Dataset for Dravidian Languages in Code-Mixed Text
Bharathi Raja Chakravarthi, Ruba Priyadharshini, Vigneshwaran Muralidaran +4
This paper describes the development of a multilingual, manually annotated dataset for three under-resourced Dravidian languages generated from social media comments. The dataset w…
DravidianMultiModality: A Dataset for Multi-modal Sentiment Analysis in Tamil and Malayalam
Bharathi Raja Chakravarthi, Jishnu Parameswaran P. K, Premjith B +5
Human communication is inherently multimodal and asynchronous. Analyzing human emotions and sentiment is an emerging field of artificial intelligence. We are witnessing an increasi…