Search Results for author: Pavan Baswani

Found 4 papers, 3 papers with code

TeSum: Human-Generated Abstractive Summarization Corpus for Telugu

1 code implementation LREC 2022 Ashok Urlana, Nirmal Surange, Pavan Baswani, Priyanka Ravva, Manish Shrivastava

But with this work, we show that even with a crowd sourced summary generation approach, quality can be controlled by aggressive expert informed filtering and sampling-based human evaluation.

Abstractive Text Summarization

Fine-grained Contract NER using instruction based model

1 code implementation24 Jan 2024 Hiranmai Sri Adibhatla, Pavan Baswani, Manish Shrivastava

In this paper, we transform the NER task into a text-generation task that can be readily adapted by LLMs.

Few-Shot Learning Hallucination +5

Unsupervised Approach to Evaluate Sentence-Level Fluency: Do We Really Need Reference?

no code implementations3 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.

Sentence Text Generation +1

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