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Conference and Workshop Papers
- 2023
[c5]Anmol Nayak, Hariprasad Timmapathini:
LLM2KB: Constructing Knowledge Bases using instruction tuned context aware Large Language Models. KBC-LM/LM-KBC@ISWC 2023- 2022
- [c4]Anmol Nayak, Hariprasad Timmapathini, Vidhya Murali, Karthikeyan Ponnalagu, Vijendran Gopalan Venkoparao, Amalinda Post:
Req2Spec: Transforming Software Requirements into Formal Specifications Using Natural Language Processing. REFSQ 2022: 87-95 - 2021
- [c3]Hariprasad Timmapathini, Anmol Nayak, Sarathchandra Mandadi, Siva Sangada, Vaibhav Kesri, Karthikeyan Ponnalagu, Vijendran Gopalan Venkoparao:
Probing the SpanBERT Architecture to interpret Scientific Domain Adaptation Challenges for Coreference Resolution. SDU@AAAI 2021 - [c2]Anmol Nayak, Hariprasad Timmapathini:
Using Integrated Gradients and Constituency Parse Trees to explain Linguistic Acceptability learnt by BERT. ICON 2021: 80-85 - 2020
- [c1]Anmol Nayak, Hariprasad Timmapathini, Karthikeyan Ponnalagu, Vijendran Gopalan Venkoparao:
Domain adaptation challenges of BERT in tokenization and sub-word representations of Out-of-Vocabulary words. Insights 2020: 1-5
Informal and Other Publications
- 2023
- [i4]Anmol Nayak, Hariprasad Timmapathini, Vidhya Murali, Atul Anil Gohad:
Few-shot learning approaches for classifying low resource domain specific software requirements. CoRR abs/2302.06951 (2023) - [i3]Anmol Nayak, Hariprasad Timmapathini:
LLM2KB: Constructing Knowledge Bases using instruction tuned context aware Large Language Models. CoRR abs/2308.13207 (2023) - 2021
- [i2]Anmol Nayak, Hariprasad Timmapathini:
Using Integrated Gradients to explain Linguistic Acceptability learnt by BERT. CoRR abs/2106.07349 (2021) - [i1]Anmol Nayak, Hariprasad Timmapathini:
Wiki to Automotive: Understanding the Distribution Shift and its impact on Named Entity Recognition. CoRR abs/2112.00283 (2021)
Coauthor Index
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