Search Results for author: Harini Kesavamoorthy

Found 3 papers, 0 papers with code

TRScore: A Novel GPT-based Readability Scorer for ASR Segmentation and Punctuation model evaluation and selection

no code implementations27 Oct 2022 Piyush Behre, Sharman Tan, Amy Shah, Harini Kesavamoorthy, Shuangyu Chang, Fei Zuo, Chris Basoglu, Sayan Pathak

Punctuation and Segmentation are key to readability in Automatic Speech Recognition (ASR), often evaluated using F1 scores that require high-quality human transcripts and do not reflect readability well.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +3

Ontology-Based Retrieval \& Neural Approaches for BioASQ Ideal Answer Generation

no code implementations WS 2018 Ashwin Naresh Kumar, Harini Kesavamoorthy, Madhura Das, Pramati Kalwad, Ch, Khyathi u, Teruko Mitamura, Eric Nyberg

The ever-increasing magnitude of biomedical information sources makes it difficult and time-consuming for a human researcher to find the most relevant documents and pinpointed answers for a specific question or topic when using only a traditional search engine.

Abstractive Text Summarization Answer Generation +4

Cannot find the paper you are looking for? You can Submit a new open access paper.