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Manoj Balaji Jagadeeshan
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2020 – today
- 2025
[i5]Manoj Balaji Jagadeeshan, Prince Raj, Pawan Goyal:
Anveshana: A New Benchmark Dataset for Cross-Lingual Information Retrieval On English Queries and Sanskrit Documents. CoRR abs/2505.19494 (2025)
[i4]Sujeet Kumar, Pretam Ray, Abhinay Beerukuri, Shrey Kamoji, Manoj Balaji Jagadeeshan, Pawan Goyal:
Vedavani: A Benchmark Corpus for ASR on Vedic Sanskrit Poetry. CoRR abs/2506.00145 (2025)
[i3]Manoj Balaji Jagadeeshan, Samarth Bhatia, Pretam Ray, Harshul Raj Surana, Akhil Rajeev P, Priya Mishra, Annarao Kulkarni, Ganesh Ramakrishnan, Prathosh AP, Pawan Goyal:
From Plain Text to Poetic Form: Generating Metrically-Constrained Sanskrit Verses. CoRR abs/2506.00815 (2025)
[i2]Sujoy Sarkar, Gourav Sarkar, Manoj Balaji Jagadeeshan, Jivnesh Sandhan, Amrith Krishna, Pawan Goyal:
Mahānāma: A Unique Testbed for Literary Entity Discovery and Linking. CoRR abs/2509.19844 (2025)
[i1]Kunal Kingkar Das, Manoj Balaji Jagadeeshan, Nallani Chakravartula Sahith, Jivnesh Sandhan, Pawan Goyal:
Still Not There: Can LLMs Outperform Smaller Task-Specific Seq2Seq Models on the Poetry-to-Prose Conversion Task? CoRR abs/2511.08145 (2025)- 2023
[j2]Bharathi Raja Chakravarthi
, Manoj Balaji Jagadeeshan, Vasanth Palanikumar, Ruba Priyadharshini:
Offensive language identification in dravidian languages using MPNet and CNN. Int. J. Inf. Manag. Data Insights 3(1): 100151 (2023)
[j1]Bharathi Raja Chakravarthi
, Ruba Priyadharshini
, Shubhanker Banerjee, Manoj Balaji Jagadeeshan, Prasanna Kumar Kumaresan
, Rahul Ponnusamy
, Sean Benhur, John Philip McCrae:
Detecting abusive comments at a fine-grained level in a low-resource language. Nat. Lang. Process. J. 3: 100006 (2023)- 2022
[c1]Kogilavani Shanmugavadivel, Malliga Subramanian, Prasanna Kumar Kumaresan, Bharathi Raja Chakravarthi, B. Bharathi, Subalalitha Chinnaudayar Navaneethakrishnan, Lavanya Sambath Kumar, Thomas Mandl, Rahul Ponnusamy, Vasanth Palanikumar, Manoj Balaji Jagadeeshan:
Overview of the Shared Task on Sentiment Analysis and Homophobia Detection of YouTube Comments in Code-Mixed Dravidian Languages. FIRE (Working Notes) 2022: 80-91
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