1 code implementation • 17 Apr 2024 • Gopichand Kanumolu, Lokesh Madasu, Nirmal Surange, Manish Shrivastava
We further demonstrate the impact of this work by fine-tuning various headline generation models using TeClass dataset.
2 code implementations • 13 Feb 2024 • Nedjma Ousidhoum, Shamsuddeen Hassan Muhammad, Mohamed Abdalla, Idris Abdulmumin, Ibrahim Said Ahmad, Sanchit Ahuja, Alham Fikri Aji, Vladimir Araujo, Abinew Ali Ayele, Pavan Baswani, Meriem Beloucif, Chris Biemann, Sofia Bourhim, Christine de Kock, Genet Shanko Dekebo, Oumaima Hourrane, Gopichand Kanumolu, Lokesh Madasu, Samuel Rutunda, Manish Shrivastava, Thamar Solorio, Nirmal Surange, Hailegnaw Getaneh Tilaye, Krishnapriya Vishnubhotla, Genta Winata, Seid Muhie Yimam, Saif M. Mohammad
Exploring and quantifying semantic relatedness is central to representing language.
no code implementations • 3 Dec 2023 • Gopichand Kanumolu, Lokesh Madasu, Pavan Baswani, Ananya Mukherjee, Manish Shrivastava
Our code and human-annotated benchmark test-set for fluency is available at https://github. com/AnanyaCoder/TextFluencyForIndicLanaguges.
1 code implementation • 29 Nov 2023 • Lokesh Madasu, Gopichand Kanumolu, Nirmal Surange, Manish Shrivastava
The task of headline generation within the realm of Natural Language Processing (NLP) holds immense significance, as it strives to distill the true essence of textual content into concise and attention-grabbing summaries.