🎉 Great News! 🎉 I'm thrilled to share that our(Animesh Mukherjee, Paramita Das and Ritabrata Chakraborty) paper "On the effective transfer of knowledge from English to Hindi Wikipedia" has been accepted at the COLING 2025 (Industry Track) 🌟! In this work, we propose a lightweight framework that enriches Hindi Wikipedia articles by extracting and adapting updated information from English sources, ensuring alignment with Wikipedia’s style and policies, and then translating the adapted content into Hindi to significantly improve the coverage and quality of these articles. Key Contributions include: 1️⃣ We propose a multistage approach to extract knowledge from biographical writings about popular figures, transform this text to adhere to the NPOV guidelines and incorporate it into low-resource Wikipedia articles, e.g., Hindi. 2️⃣ We manually curate 103 biographical writings relevant to corresponding Wikipedia articles as external knowledge sources, which can serve as a rich source of factual information 3️⃣ Our lightweight framework efficiently updates Hindi Wikipedia articles by adding coherent and new information. 📄 The preprint is available on ArXiv: https://lnkd.in/dQ2axSx4 We are thrilled to present this work at COLING 𝟮𝟬𝟮𝟱 and look forward to connecting with the AI research community 🌐🤝.
Best of luck!
Project Research Scientist-I @NIT Rourkela, BM Dept. || MTech'24 @Jadavpur University || CMATER Lab || Medical Imaging || Biomedical Signal Processing || Deep Learning || Computer Vision || Data Science ||
1moInspiring.. Keep Growing ✌