56 citations · 66 across the 7 of their papers we have counts for
10 papers · 1 filter
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…