Extracting Biomedical Entities from Noisy Audio Transcripts

Extracting Biomedical Entities from Noisy Audio Transcripts

26 March 2024

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Papers citing "Extracting Biomedical Entities from Noisy Audio Transcripts"

9 / 9 papers shown

Title
Hardness-guided domain adaptation to recognise biomedical named entities under low-resource scenarios Ngoc Dang Nguyen Lan Du Wray Buntine Changyou Chen Richard Beare 64 8 0 11 Nov 2022
Improving Speech Recognition for Indic Languages using Language Model Ankur Dhuriya Harveen Singh Chadha Anirudh Gupta Priyanshi Shah Neeraj Chhimwal Rishabh Gaur Vivek Raghavan 34 2 0 30 Mar 2022
Thinking about GPT-3 In-Context Learning for Biomedical IE? Think Again Bernal Jiménez Gutiérrez Nikolas McNeal Clay Washington You Chen Lang Li Huan Sun Yu-Chuan Su 72 156 0 16 Mar 2022
Effective Unsupervised Domain Adaptation with Adversarially Trained Language Models Thuy-Trang Vu Dinh Q. Phung Gholamreza Haffari 78 24 0 05 Oct 2020
HunFlair: An Easy-to-Use Tool for State-of-the-Art Biomedical Named Entity Recognition Leon Weber Mario Sanger Jannes Munchmeyer Maryam Habibi Ulf Leser Alan Akbik 58 97 0 17 Aug 2020
Inexpensive Domain Adaptation of Pretrained Language Models: Case Studies on Biomedical NER and Covid-19 QA Nina Poerner Ulli Waltinger Hinrich Schütze OOD 57 50 0 07 Apr 2020
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer Colin Raffel Noam M. Shazeer Adam Roberts Katherine Lee Sharan Narang Michael Matena Yanqi Zhou Wei Li Peter J. Liu AIMat 439 20,181 0 23 Oct 2019
BioBERT: a pre-trained biomedical language representation model for biomedical text mining Jinhyuk Lee Wonjin Yoon Sungdong Kim Donghyeon Kim Sunkyu Kim Chan Ho So Jaewoo Kang OOD 156 5,659 0 25 Jan 2019
Neural Architectures for Named Entity Recognition Guillaume Lample Miguel Ballesteros Sandeep Subramanian Kazuya Kawakami Chris Dyer 221 4,015 0 04 Mar 2016

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