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Conference and Workshop Papers
- 2024
[c5]Hwanmun Kim, Kamal Raj Kanakarajan, Malaikannan Sankarasubbu:
Saama Technologies at SemEval-2024 Task 2: Three-module System for NLI4CT Enhanced by LLM-generated Intermediate Labels. SemEval@NAACL 2024: 1435- 2023
- [c4]Kamal Raj Kanakarajan, Malaikannan Sankarasubbu:
Saama AI Research at SemEval-2023 Task 7: Exploring the Capabilities of Flan-T5 for Multi-evidence Natural Language Inference in Clinical Trial Data. SemEval@ACL 2023: 995-1003 - 2022
- [c3]Kamal Raj Kanakarajan, Bhuvana Kundumani, Abhijith Abraham, Malaikannan Sankarasubbu:
BioSimCSE: BioMedical Sentence Embeddings using Contrastive learning. LOUHI@EMNLP 2022: 81-86 - 2021
- [c2]Kamal Raj Kanakarajan, Bhuvana Kundumani, Malaikannan Sankarasubbu:
BioELECTRA: Pretrained Biomedical text Encoder using Discriminators. BioNLP@NAACL-HLT 2021: 143-154 - 2019
- [c1]Kamal Raj Kanakarajan, Suriyadeepan Ramamoorthy, Vaidheeswaran Archana, Soham Chatterjee, Malaikannan Sankarasubbu:
Saama Research at MEDIQA 2019: Pre-trained BioBERT with Attention Visualisation for Medical Natural Language Inference. BioNLP@ACL 2019: 510-516
Informal and Other Publications
- 2021
- [i2]Kamal Raj Kanakarajan, Bhuvana Kundumani, Malaikannan Sankarasubbu:
Small-Bench NLP: Benchmark for small single GPU trained models in Natural Language Processing. CoRR abs/2109.10847 (2021) - 2018
- [i1]Abhai Kollara Dilip, Kamal Raj K, Malaikannan Sankarasubbu:
PHI Scrubber: A Deep Learning Approach. CoRR abs/1808.01128 (2018)
Coauthor Index
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